Author: a16z Podcast

  • 16 Minutes on the News: Fortnite, Esports, Gaming, and Entertainment

    AI transcript
    0:00:05 Hi, everyone. Welcome to the A6nZ podcast. I’m Sonal. I’m here today with the third
    0:00:10 episode of our new short-form news show, “16 Minutes,” where we cover recent headlines
    0:00:14 the A6nZ way, offering expert takes on the trends involved and more. You can follow the
    0:00:19 show in its own feed in your favorite podcast player app. Our other episodes cover multiple
    0:00:24 news items and topics, but this week we’re doing two separate, short-but-deep dives connected
    0:00:32 to recent headlines. One on the opioid crisis, which you can find in this feed, or at a6nz.com/16minutes,
    0:00:36 and this episode, which is on eSports, gaming, and entertainment.
    0:00:40 So here’s the news. The Fortnite World Cup just happened this past weekend. It’s the
    0:00:43 first time ever it was the inaugural World Cup, and it actually took place in the same
    0:00:49 exact stadium in New York that the U.S. opened for tennis takes place. And the news was that,
    0:00:53 besides the fact that this is a big new thing, was that a 16-year-old named Kyle Gearsdorf
    0:00:59 won $3 million, and that is actually the largest prize ever for a single person in eSports history.
    0:01:02 And by the way, his nickname or his player name is Booga, and that’s actually the name
    0:01:05 he got from his grandfather calling him Booga Booga Booga, and he was a baby, which I think
    0:01:09 is really cute. Just to put this in an even more context before I introduce our experts,
    0:01:13 what’s also really interesting about this is that this prize money is not that different
    0:01:17 from traditional physical sports. Everyone’s talking about how Booga earned more money than
    0:01:22 Tiger Woods did for winning the Masters, and it’s not even the biggest prize pool overall.
    0:01:27 Dota 2’s The International is the largest ever so far, with over $30 million. And that’s
    0:01:31 what everyone’s talking about. To me, the real big news here is that 2 million people
    0:01:37 concurrently live-streamed this past Sunday on Twitch and YouTube. My friend Angela Watercutter,
    0:01:40 Wired, pointed out that this is not as big as Game of Thrones, but that’s a hell of
    0:01:44 a lot, so it’s slowly mainstreaming. I’m going to introduce our A6NZ experts, Andrew
    0:01:50 Chen, general partner, who covers our consumer vertical and Darcy Kuliken on the investing
    0:01:54 team for consumer. I want to hear from you guys, what’s a broader category that this
    0:01:58 fits in, what’s hype, what’s real, and how are you guys thinking about this in the context
    0:02:01 of the future of entertainment and tech? That’s a big question.
    0:02:05 Awesome. I think when we look at esports, the most fascinating thing about it is it
    0:02:12 is the most publicly visible phenomenon of the much broader trend, which is the emergence
    0:02:20 of gaming as a new form of entertainment at a peer level to TV and movies and music and
    0:02:25 so on. It’s inevitable that it’ll get there. Just the hours that consumers are putting
    0:02:29 in really show that. For years, people have said, “Well, gaming, it’s this hits-driven
    0:02:34 business and you build a game and you release it and you get all your sales in year one
    0:02:40 and then that’s it.” I think what we’re seeing is that in this new style of hyper-social gaming
    0:02:45 properties that have esports leagues around them, that have multiplayer built in, that
    0:02:49 these properties like League of Legends Riot Games is their flagship game has now been around
    0:02:53 for 10 years. It’s still doing over a billion in revenue. There’s still a ton of people
    0:02:59 playing EverQuest. There’s still a ton of people playing World of Warcraft.
    0:03:04 This is a new way that consumers are coming together and interacting with each other in
    0:03:08 a big way. Esports is the natural outcome of all that.
    0:03:12 You’ve alluded to the fact that people have been talking about this for a while. Why now?
    0:03:17 What’s different that this is finally starting to compete with TV and other forms of entertainment?
    0:03:20 There’s a couple different trends that are coming together. I think the very first one
    0:03:26 is that video has just become such a huge thing. Streaming has become such a huge thing.
    0:03:29 That is very much to do with the fact that we have phones, we carry these supercomputers
    0:03:34 in our pocket, we have the bandwidth ability to be able to do it. When you look at these
    0:03:39 stats around Twitch and YouTube, there’s literally billions of monthly actives that
    0:03:44 are consuming video. What that means is that creates this new medium for any product that
    0:03:49 produces lots and lots of visual content to live on top of that video.
    0:03:54 We often will talk about this in the context of gaming or the context of education or the
    0:04:00 context of many other of these things. Gaming is clearly the one that has very much benefited
    0:04:06 from that. That’s one really big piece. The second piece here is that there’s steam, there’s
    0:04:10 all the new consoles, there’s cloud gaming that’s coming out. I think all of these new
    0:04:16 trends really serve to bring gaming that maybe back in the day, you would have had to buy
    0:04:20 a $3,000 PC rig in order to run the top end.
    0:04:23 Fully load up all the graphic processors and all these different things to really enjoy
    0:04:24 the game.
    0:04:29 Exactly. Now it’s like, wow, actually, the iPad plays Fortnite pretty well. They have
    0:04:34 to modify the controls a little bit and this and that. That is such an amazing experience
    0:04:38 to be able to play one of these massively multiplayer games without needing to spend
    0:04:43 thousands of dollars. I think those two things and we’re also just seeing that kids that
    0:04:48 are growing up playing Minecraft and Roblox, they’re graduating to Fortnite and there’s
    0:04:51 a very good question like, are they going to graduate from Fortnite and what else are
    0:04:56 they going to do? Are these kids going to find that in a world where they’ve been immersed
    0:05:01 with all of their friends in these insane 3D environments that they’re going to go to
    0:05:07 a 2D feed with static images and think that that’s actually the coolest way to hang out
    0:05:08 with their friends.
    0:05:11 That’s new for us, but for the kids growing up like that with that native worldview, that
    0:05:14 you’re right. That’s their new, that the baseline has shifted.
    0:05:18 If you grew up on AOL Instant Messenger, you would not have been able to guess that a system
    0:05:22 of profiles and feeds and this and that would be the dominant way to hang out with your friends,
    0:05:27 not Instant Messenger. And now for many of us that are in the Facebook or Instagram kind
    0:05:32 of generation, I think it’s going to be hard to extrapolate like, maybe actually the next
    0:05:37 way that all the humans in the world want to get together isn’t going to be also feeds
    0:05:41 and following and photos and all this other stuff. It might look more like Minecraft,
    0:05:42 might look more like Fortnite.
    0:05:46 Yeah, that’s so fascinating because it has interesting implications for where the future
    0:05:48 social network comes from, which is from games.
    0:05:52 Yeah. I mean, I think you’re already seeing this, like the product experience of a Facebook
    0:05:56 or a chat group is now the product experience of a game itself and the social network layers
    0:06:01 around it. Fortnite then becomes the place where people hang out. We say why now and
    0:06:05 it’s this idea that games entered the cultural zeitgeist and that’s driven by a lot of technology
    0:06:08 and it’s driven by video and it’s driven by bunch of other things. But then once your
    0:06:12 friends are playing it, you want to play it. It’s kind of like reaches this gating point
    0:06:16 and then it hits a tipping point and then everybody wants to be playing and then they
    0:06:17 want to be where their friends are.
    0:06:20 So just to bring it back to the news then, because that’s where the trends are going
    0:06:24 and how to think about the big picture, let’s talk about eSports for a minute in particular.
    0:06:27 So you guys are saying that this is part of the larger trend and what’s happening with
    0:06:31 gaming, technology, social networks, the future of entertainment really. But first of all,
    0:06:35 when I was at where I did an op-ed in 2013 that argued that eSports was quite a long
    0:06:38 time ago is no different than other sports. It was from Kevin Morris who was at the Daily
    0:06:42 Dot at the time. And it was really interesting because I had to fight the headline desk because
    0:06:45 they were like, “What the hell is eSports?” They were like, “You can’t say that.” And
    0:06:49 just to give people context who are not familiar with that category, eSports is big business.
    0:06:52 What really struck me is that it has a lot of the same features as traditional sports.
    0:06:56 You’ve got training, like Buga in particular was playing for only two years, but he played
    0:07:00 six to eight hours a day. He’s been training for two years like entirely. He has a management
    0:07:04 company. There are sponsors. There are fans. There’s all these things in the regular sports
    0:07:08 ecosystem that play out with eSports. I’m actually curious for your thoughts in particular
    0:07:11 around eSports about where does this fit and how to think about this?
    0:07:14 So I actually think the eSports term is maybe a little bit tortured. Maybe not necessarily
    0:07:18 the best term, but you can just think about this as like eSports is another form of entertainment.
    0:07:21 Sports is one form of entertainment. You want to watch the people that are like the highest
    0:07:25 skilled people at any particular sport. And it’s kind of like a performance-based form
    0:07:30 of entertainment. You also have like personality-driven forms of entertainment. That’s everything
    0:07:36 from like reality TV. You can call that like some sort of eSport in and of itself. I think
    0:07:41 eSports sits somewhere in the middle of that kind of like performance-based entertainment,
    0:07:44 personality-based entertainment. Like Fortnite is much more kind of cartoonish. It’s much
    0:07:48 more driven off the personality of the streamers. Ninja is probably the most famous and the
    0:07:52 most highly compensated streamer. And he’s kind of like personality-based.
    0:07:57 That’s super interesting. How do you think about this along the spectrum of sports entertainment?
    0:08:00 From your vantage point and tech and like the future of entertainment, like why does
    0:08:01 that matter?
    0:08:07 I mean, one aspect of it is that right now, when we think about sports and eSports, inevitably
    0:08:11 it’s the player versus player competitive type genre. And I think what we’re going
    0:08:15 to very quickly find is that, you know, if you just go to YouTube and search for Minecraft,
    0:08:20 there are so many things that people want to watch that are not this PVP competitive
    0:08:21 kind of format. And so I think-
    0:08:22 Pillar versus player.
    0:08:25 Right. And so I think what we’re going to see instead is we’re going to end up seeing
    0:08:31 a, you know, vast set of, you know, new genres of very watchable, very streamable entertainment
    0:08:36 experiences ultimately that have as much to do with, you know, creativity and creative
    0:08:40 expression. You know, you can imagine playing rock band or, you know, dance sense revolution
    0:08:41 or whatever.
    0:08:42 Oh my God, I love-
    0:08:43 Imagine that as a-
    0:08:44 I’ve always loved dance sense revolution.
    0:08:47 Or like, you know, even if you take the metaphor as game shows, right? Game shows are some
    0:08:52 of the most widely watched forms of entertainment. We don’t call them sports, right? But people
    0:08:55 love watching them. And there’s going to be competitive versions that aren’t going to
    0:09:00 be about shooting somebody. It’s going to be like, who can, you know, make the best
    0:09:04 virtual garden, you know, who can cook the best virtual recipes. That’s going to be
    0:09:05 a thing.
    0:09:07 You’re right. What I love about that is things that are very native to what people already
    0:09:11 do and love, since like there’s a whole cult around the great British baking bake off.
    0:09:12 Yeah, totally.
    0:09:16 Imagine that and like to your point, and you’re like in sports form, that’s super interesting.
    0:09:18 Yeah. Well, it’s funny because people are like, oh my gosh, I can’t believe people watch
    0:09:22 other people play video games. But we watch like other people answer trivia questions.
    0:09:27 We watch other people play real physical sports. We watch other people like fix homes on reality
    0:09:33 TV in like quasi competitive situations. That entire world exists. And it’s just bringing
    0:09:35 that world into a place where people can do that more digitally. And then you’re just
    0:09:38 creating the entertainment layer that sits on top of that interaction.
    0:09:43 So this is good to talk about Fortnite specifically. It’s made by Epic Games. It allows up to
    0:09:47 100 players to play at a time. And some people argue that’s a thing that sort of made it
    0:09:51 really work. And a lot of games are now adding, you know, a battle royale mode where people
    0:09:56 can fight and compete in like a confined space, et cetera. Fortnite was a top rank free game
    0:10:01 last year. It made $2.4 billion in revenue according to Nielsen owned super data research.
    0:10:04 And I think people only focus on the fact that it’s been around for two years, but it
    0:10:09 wasn’t really a sudden overnight success because it has a longer history. And I’m just curious
    0:10:12 for your guys’s view on sort of this trend of a lot of these games starting to add a
    0:10:14 battle royale mode in particular.
    0:10:19 Yeah. One of the really fascinating patterns that’s been happening in the games world has
    0:10:23 been that, you know, oftentimes there’s, there’s a whole ecosystem of modders. These are people
    0:10:24 that, you know,
    0:10:25 Oh yeah. Like I love the modding community.
    0:10:26 Right. Yeah. Exactly.
    0:10:27 Modify games.
    0:10:30 Exactly. That’s right. They’re modifying games or adding new assets, adding new rules,
    0:10:35 you know, et cetera, et cetera. And, you know, League of Legends was originally derived from
    0:10:41 Dota, which was a mod of Warcraft three. And similarly, Fortnite had had a bunch of predecessors,
    0:10:44 I mean, there was Part PUBG, there was, you know, a mod that was built on, you know, Arma,
    0:10:45 you know, et cetera, et cetera. And so,
    0:10:48 And modding goes all the way back to Doom and even before that.
    0:10:49 Well, yeah, exactly.
    0:10:54 And so I think what we see is that, you know, many of these genres are taking time to kind
    0:10:59 of incubate and kind of evolve in the indie gaming community and in the moderate community.
    0:11:04 And then you have a new entrepreneur that then comes out with a fully integrated AAA type
    0:11:08 level kind of thing. And that kind of, you know, brings it forward. And I think what
    0:11:12 they end up tapping into, especially this kind of new generation of games is bringing
    0:11:13 network effects into the games industry.
    0:11:15 What do you mean by that?
    0:11:19 What I mean is that it used to be that game was just a piece of content and you’d play
    0:11:20 it and then you were done.
    0:11:23 Right. A lot of the times these games are great, the tradition you’re describing a modding,
    0:11:25 it actually leads to quick games being built and then dying.
    0:11:29 Right. Right. Exactly. And so what ends up happening is in a world where you can mod
    0:11:34 and then also ultimately create these full games that are multiplayer intrinsically and
    0:11:38 have competition, have these different elements, what these are tapping into is they’re able
    0:11:42 to create video and streaming communities around the game that kind of keep it going.
    0:11:43 Hence the network.
    0:11:47 That’s one form of a network. Another form of a network has been the e-sports leagues
    0:11:51 and the teams and this whole ecosystem of folks that that are…
    0:11:52 Management, sponsors, everything.
    0:11:56 Right. Right. Who all have this very strong incentive to like keep the game going and
    0:12:00 continue marketing it, et cetera, et cetera. And then, you know, third one, which we haven’t
    0:12:04 talked about is, you know, user-generated content in the context of games.
    0:12:06 I’m actually very interested in that because that’s actually been a trend in every media
    0:12:10 wave where there’s always like a central established player that makes the content and then there’s
    0:12:13 a user-generated phase that kind of comes right after that.
    0:12:16 That’s right. Yeah. And I think, you know, as much as we’re talking about Fortnite’s
    0:12:21 Battle Royale, you know, a lot of what the company Epic has been, you know, emphasizing
    0:12:26 is their creative mode, which is just being able to like make cool structures and new
    0:12:31 types of gameplay, et cetera. And that’s another form of how you can build a network
    0:12:35 effect, the same one that’s propelling Minecraft and Roblox as well as, you know, kind of this
    0:12:40 entire modding community. That’s obviously been one of the most powerful forces in the
    0:12:44 internet consumer product sphere. And I think it’s inevitable that that all makes its way
    0:12:49 into the game’s world. That’s absolutely right. And I think the focus you’re seeing on games
    0:12:53 companies trying to build, whether it’s eSports, whether it’s kind of Battle Royale or multiplayer
    0:12:58 modes, whether it’s UGC, like user-generated content, user-generated content, you know,
    0:13:03 like Epic didn’t get Fortnite, like the eSports of Fortnite right on the first try, right?
    0:13:06 It took iterations. That’s to me the interesting story here. It’s not an overnight success.
    0:13:10 It’s not an overnight success. And like the game itself is not an overnight success. Like
    0:13:14 the eSports, it is not an overnight success. But the idea of building towards network effects,
    0:13:18 I think you’re seeing more and more games companies focused on that as the kind of ultimate
    0:13:20 end goal. So how does this play out with the real
    0:13:23 world? Because another really interesting article that actually the Wall Street Journal
    0:13:27 did this past week, and we’ve seen this as well, which is that real estate developers
    0:13:31 all over the country are trying to convert malls, convention centers, et cetera, into
    0:13:36 destinations for eSports. They’re doing stuff like adding locker rooms, like broadcast studios,
    0:13:41 higher speed connectivity, massive LED video walls, like in Times Square. And some of the
    0:13:45 cities involved here like Baltimore, Philadelphia, Arlington, Texas, Los Angeles, New York and
    0:13:49 Las Vegas, of course. So how do you guys think about this in this context?
    0:13:53 So I think that’s a really interesting trend, which is around this idea of like what’s happening
    0:13:57 in real life versus what’s happening in the digital world. This division between like
    0:14:03 atoms and bytes and gaming and this kind of genre is like this really fascinating transition
    0:14:07 point. You literally have people sitting in New York in a stadium watching something happen
    0:14:12 online. You also have people within the game watching the event happen within the game itself.
    0:14:16 And then you have like these characters and it’s got this like Disney World feel to it.
    0:14:18 But then you also have this stuff where they announced Marshmallow was going to do a concert
    0:14:22 at the World Cup. And there’s this moment where you’re like, is that happening in the
    0:14:26 game? Is that happening online only? Because like Marshmallow had that concert, you know,
    0:14:30 a couple of months ago that had millions of people, the cell membrane between like what’s
    0:14:34 happening in real life and what’s happening in the digital world in this game’s context
    0:14:37 is getting super, super thin. People are now building stadiums for people to have eSports
    0:14:42 competitions and it’s just this blending of the physical world and the digital world.
    0:14:45 Yeah. Nathan Juergensen used to talk about this concept of digital dualism that it’s
    0:14:50 kind of a false dichotomy to separate in real life, IRL and the online world in many ways.
    0:14:54 You’re saying that games is the bridge between them, which I think is super fascinating.
    0:14:58 The other thing that is happening if you look at it from the real estate end of things is
    0:15:02 that, you know, what are we going to do with all of this mall space, right? And what are
    0:15:05 we going to do with all these, you know, restaurants that are, you know, kind of the
    0:15:08 three star Yelp restaurant is just there, you know, but like really you could order
    0:15:13 from your favorite place on, you know, Uber Eats or DoorDash or whatever. And like, you
    0:15:17 know, that’s even better, right? So it’s, you know, cities are changing a lot and there’s
    0:15:20 a lot of space that’s opening up that we’re going to have to figure out what to do with
    0:15:24 it. You know, that very naturally leads to all these new forms of entertainment, especially
    0:15:29 when they’re things that can drive foot traffic. Consumers are going to go to these locations
    0:15:34 when they’re deeply experiential, when they’re very Instagrammable, when it’s something that’s
    0:15:35 fun to do together.
    0:15:38 What’s going to drive people to go to the mall and these spaces versus doing it in their
    0:15:39 home?
    0:15:43 Yeah, I think there’s a bunch of different reasons why people will ultimately want to
    0:15:47 go to these experiential places. The very first thing is, you know, if you’ve ever been
    0:15:52 to Oracle Arena while they’re playing League of Legends in a group of like, you know, tens
    0:15:56 of thousands of people, it is a very different experience than doing it at home. Or you’re
    0:16:01 going with your family to a, you know, a sandbox VR, you’re putting on all the latest gear
    0:16:03 and you have, you know, haptic feedback, you have like…
    0:16:06 You can actually feel the moves, not just play it in VR visually.
    0:16:09 And you have fans, you have this and that, you know, and you’re in a thousand square
    0:16:13 foot space, like how many folks in San Francisco have a thousand square feet of playing space
    0:16:19 and, you know, five VR headsets, you know, and all the gear and custom software and content.
    0:16:22 When you’re talking about the highest end cutting edge experience, you know, that is
    0:16:26 going to be something that, you know, you’re going to have to do outside in a system that
    0:16:30 costs hundreds of thousands of dollars. We also are very excited about the in-home experience
    0:16:35 as well, but that will always be a more casual type of, you know, experience than what you
    0:16:36 can get out in the field.
    0:16:38 Ultimately, I think it’s going to be both.
    0:16:41 This is a very hopeful future. Sounds like we’re going to have a lot of fun and interesting
    0:16:45 entertainment and it’s going to creep into other areas of our lives, education, et cetera.
    0:16:50 So we’ve covered everything in this episode from, you know, the recent milestone, Fortnite,
    0:16:55 gaming, eSports, the future of entertainment, real estate, bottom line it for me. Like,
    0:17:00 how should we think about the recent news of Booga, Booga, Booga, Booga, making, you
    0:17:04 know, $3 million and in this context of these larger trends.
    0:17:08 So I think there’s three things I can bottom line. One piece of it is, you know, it just
    0:17:12 reflects Fortnite’s kind of status within the current zeitgeist at the top of the stack
    0:17:15 right now. I mean, obviously these things shift around, but for right now it’s at the
    0:17:19 top. The second thing is it’s the importance of eSports competitive play to gaming more
    0:17:24 broadly. You know, publishers are going to continue to push this, Fortnite push this,
    0:17:30 you know, the importance of events like this, the publicity they get, live events, the retention
    0:17:35 it drives, the kind of engagement it drives from players is just going to kind of continue
    0:17:38 to grow and it’s going to be more and more important to publishers as they develop these
    0:17:39 games.
    0:17:43 The third thing is just it shows the size and scale of what happens when games meets
    0:17:48 network effects, right? Which I don’t think is a surprise, but I think what these events
    0:17:52 do is they crystallize it for the outside world. It gives you that point where you can
    0:17:57 now compare it to, you know, how big is Booga relative to Tiger Woods or Roger Federer or
    0:17:58 anything like that.
    0:17:59 Exactly.
    0:18:00 Exactly.
    0:18:03 Yeah, you literally put it in the Earth or Ash stadium and now you have this nice contrast
    0:18:07 point which for people outside of the gaming industry gives them something tangible about
    0:18:10 how big this is as a force in the world right now.
    0:18:12 Fantastic. Thank you guys for joining this segment.
    0:18:13 Awesome. Thank you.

    with @andrewchen @dcoolican and @smc90

    This is episode #3 of our new show, 16 Minutes, where we quickly cover recent headlines of the week, the a16z way — why they’re in the news; why they matter from our vantage point in tech — and share our experts’ views on these trends as well.

    This week we do a short but deep dive on esports, given recent news of the inaugural Fortnite World Cup champion, and how this all fits into the broader trends in gaming, social networks, and the future of entertainment.

    Our a16z experts in this episode are general partner Andrew Chen and investing team partner D’Arcy Coolican, both of the consumer vertical, in conversation with host Sonal Chokshi.

  • 16 Minutes on the News: Mobile Malware, Drug Pricing

    AI transcript
    0:00:06 Hi everyone, welcome to the A6NZ podcast. I’m Sonal and this is our second episode of 16 Minutes,
    0:00:12 our new news show where we cover recent headlines of the week, the A6NZ way, why they’re in the news,
    0:00:16 why they matter from our vantage point in tech, and share our experts’ views on the trends involved
    0:00:21 as well. The first episode covered Neuralink and Brain Computer Interfaces, TikTok influencers
    0:00:26 and AI, FaceApp and more. You can listen to that as well, it ran last week. But in this episode,
    0:00:31 we covered these two topics that came up in the news this week, a new kind of mobile malware
    0:00:36 that’s out there in the wild, and a new bipartisan proposal for lowering drug prices for senior
    0:00:41 citizens with a short lay of the land on drug pricing in general. Remember, as we mentioned,
    0:00:45 specific companies that none of this is investment advice, nor is it a solicitation for investors
    0:00:51 in any of our funds. Please be sure to read a6nz.com/disclosures for more important details. Finally,
    0:00:54 you should be able to find the show in the current A6NZ podcast feed, which is probably where you
    0:01:00 found it, as its own show, 16 Minutes, in your favorite app shortly, and on our website at
    0:01:09 a6nz.com/16minutes. So the first news item is on malware, which sounds very scary and malicious,
    0:01:13 aka the mal. So let me actually quickly summarize the news and then I’ll introduce the a6nz expert
    0:01:18 joining us to talk about this. So here’s the news. This week, a report was released by
    0:01:22 Mobile Security Company Lookout, which also happens to be an a6nz portfolio company,
    0:01:26 and basically researchers there discovered some of the most advanced mobile surveillance
    0:01:31 wear ever seen. And to quote the Ars Technica article, which is one of my favorite news sites,
    0:01:37 by the way, for this type of topic, the malware is called monocle. Sounds like a James Bond character.
    0:01:43 And it’s been in the wild since at least March 2016, so over three years ago. And let me just
    0:01:47 quickly say what it is. It’s an Android-based application that was developed by a Russian
    0:01:52 defense contractor that’s apparently been linked to meddling in the 2016 presidential elections.
    0:01:55 And I’m an Android user, but iOS folks, you’re not off the hook because
    0:02:00 apparently a version of monocle for Apple’s operating system has been very likely developed
    0:02:03 as well. And I’ll go into more details about what it can do, but let me introduce our expert
    0:02:08 joining us to have this conversation, a6nz general partner, Martin Casado, who is a
    0:02:13 serious expert in software-defined networking and actually has a very long and storied history
    0:02:17 and security as well. Welcome, Martin. Thank you. So, Martin, can you just quickly help
    0:02:22 break down what this category is? This isn’t practical advice. What is mobile malware? Tell
    0:02:28 me about that. Sure. So, traditionally, in security, there’ve been two large markets. There’s been
    0:02:32 network security, which are things like firewalls, which try and intercept bad things on the network,
    0:02:37 and endpoint. So, endpoint is probably the most familiar. This is like protecting
    0:02:42 traditionally at desktop. So, have you noticed things like Mac-A-Pee, Norton-Andy virus,
    0:02:47 that’s right, Symantec, Trend Micro. So, this is the traditional endpoint security market where
    0:02:52 you had a Windows desktop, typically, and you want to protect yourself from viruses. You’d get one
    0:02:56 of these. You would download a package, install it, and run it on your machine. Right. Now,
    0:02:59 there’s been a few things that have happened over the last, say, 15 years that have disrupted that
    0:03:03 market, right? I mean, there’s been the move to cloud, which means there’s just, you know, fewer
    0:03:07 desktops in the same way, and those desktops run fewer applications as opposed to like cloud
    0:03:12 applications. But there’s also been a proliferation of operating systems. So, Windows used to be the
    0:03:16 dominant personal operating system. Now, we see a lot of macOS, we see Android, which are mobile
    0:03:20 operating systems. Right. You know, Chrome OS is another one. But also, like the form factor has
    0:03:25 changed from something that sits on our desktops to laptops and, you know, like iPads, mobile phones,
    0:03:30 tablets, etc. And by the way, just to emphasize, this is not like a static shift in terms of here,
    0:03:33 the underlying secular trends, which I love that you just summed up for me. But we’re also talking
    0:03:38 about mobile people, mobile workers. These devices enable them to move around. People are working in
    0:03:42 coffee shops, you know, connecting, they’re doing their work with new tools that are letting them
    0:03:46 do their work in the cloud. So, all of this affects all of that. It’s very important that
    0:03:49 you point that out. Also, like there’s just a different life cycle for a mobile phone and different
    0:03:54 behavior behind it. And a lot of detection of malware is behavioral. This is how a desktop
    0:03:58 should act. Now, of course, a mobile phone will just be quite different. And so, mobile malware
    0:04:04 is focused on that segment. Okay. So, given this recent news, tie it back to Monocle. I mean,
    0:04:08 should we be freaking out or what? Actually, we’ve known that there’s, you know, like,
    0:04:13 pretty serious malware out there for a long time. Here’s what’s so significant about this to me,
    0:04:21 which is, for whatever reason, we’ve decided to use phones as a security device more than we have,
    0:04:25 for example, desktops traditionally, right? So, they’ll give you an example of that. Often,
    0:04:29 in order to secure an account, we do what’s called two-factor authentication. And the second factor
    0:04:33 is an SMS. By the way, two factors, something you have, something you know. That’s right. So,
    0:04:37 for example, like, for me to get into my email account, well, I’ll have a password, which is
    0:04:42 something I know. But often, if they don’t know that it’s me or they want a second factor, they’ll
    0:04:46 send me an SMS text to my phone. So, that’s the second factor, maybe that’s something I have,
    0:04:50 which is the device. So, often, we say, well, the mobile phone is something you have. And we’ve
    0:04:55 been treating it like a security device. So, like, if this is a bank account, if this is your email,
    0:04:59 if this is your Coinbase account, whatever it is, actually, it turns out, like, phones aren’t
    0:05:04 that secure even though we’ve been relying on it. And you can see there’s been a huge spate recently
    0:05:10 of attacks against phones in order to get access to accounts. And so, this just further proves
    0:05:13 that phones are very much a weak link into personal security.
    0:05:16 In fact, this would be very specific about what monocle in particular can do, what we are talking
    0:05:20 about the broader category. So, here’s some of the things according to the report. It can retrieve
    0:05:25 calendar information, including the name of the event, when and where that event is taking place,
    0:05:29 and a description of it. It can collect account information and retrieve messages from WhatsApp,
    0:05:34 Instagram, Skype, et cetera. It can send text messages to an attacker-specified number.
    0:05:38 It can reset a user’s PIN code. And it can download attacker-specified files,
    0:05:42 reboot the device, and uninstall itself, and remove all traces from an infected phone.
    0:05:44 It’s like it has a life and personality of its own.
    0:05:47 Yeah, yeah, yeah, yeah. That’s the attacks I was talking about. Let’s imagine, for example,
    0:05:54 like, your bank account was protected via SMS to your phone. If you have malware there that can
    0:05:57 intercept that and send that to the bad person, they can reset your password on your bank account.
    0:06:01 So, these things are actually very serious. In fact, how many of us authenticate using
    0:06:05 SMS as our second factor? It’s very common. The first thing I do when I sign up to a new
    0:06:08 thing is I turn off two-factor SMS for exactly this reason.
    0:06:12 So, bottom line it for me. How should we think about security in a post-parameter world, which,
    0:06:17 by the way, is what Lookout’s tagline is? And you and I talked about that topic in 2016 when you
    0:06:22 first joined A6 and Z, and we did a podcast about networking as sexy. Yeah. How does Monocle and
    0:06:26 Malware fit into the overall landscape of how security is changing just in the big picture?
    0:06:30 I do think that there is a macro trend, which attacks are just becoming more personal and
    0:06:34 dealing more with social engineering, right? So, there’s just less about, like, “Oh, I’m going to
    0:06:38 have some bad bug that, like, does something malicious,” and more, “I’m going to have something
    0:06:42 that’s closer to the human being, so I can trick them into doing something I can pretend to be them,”
    0:06:47 because it really is these social aspects that we’re seeing become really predominant when it
    0:06:51 comes to these attacks. I think the phone is about as close and personal as the devices we have.
    0:06:53 It’s like a body part for many people.
    0:06:56 It really is. I mean, it’s an extension. It’s like the coprocessor to our brain.
    0:06:59 Yeah. I mean, I just think that the first thing is to realize that attacks are becoming incredibly
    0:07:04 personal and they’re focused on us, right, especially if you’re anywhere near, like,
    0:07:09 you know, a large company with a lot of assets. And so, I think it’s very important for listeners
    0:07:13 to understand best practices for protecting themselves. For example, getting a password
    0:07:18 manager is a big deal using hardware tokens where you can, turning off two-factor authentication,
    0:07:25 not relying on SMS. I mean, just knowing that there are these targets that are focused on us
    0:07:30 as people and understanding, you know, best practices to defend against that will go a long way.
    0:07:31 That’s fantastic. Well, thank you for joining, Martine.
    0:07:32 That’s a pleasure.
    0:07:37 Okay. So, the next item is on drug pricing. So, here’s the news. Just this week,
    0:07:41 the Senate Finance Committee released a bipartisan drug pricing proposal that would cap
    0:07:47 senior citizens out-of-pocket costs for drugs, as well as, this is really interesting,
    0:07:51 limit price increases in Medicare. And according to the Congressional Budget Office,
    0:07:56 as reported by the Washington Post, the proposal is projected to save the government about $100
    0:08:01 billion over 10 years, save senior citizens about $27 billion in out-of-pocket costs over that same
    0:08:07 time period, save $5 billion from lower premiums. And just to be clear, this is one of many proposals
    0:08:11 in a couple of months. The House of Representatives is also expected to release a different drug
    0:08:16 pricing proposal than this Grassley-Widen one, which would actually allow Medicare to negotiate
    0:08:20 the prices of some drugs, and that’s currently prohibited by law. And there’s two other proposals
    0:08:25 on the horizon as well. Clearly, it’s a very political, tough topic with many proposals
    0:08:30 and many players involved because drugs, the argument goes, should not be so expensive.
    0:08:35 They’re life-saving. They’re meant to keep us healthy. It’s insane that drugs can be so expensive.
    0:08:39 And I also just want to mention that this is playing out against other recent news, which we’ve
    0:08:43 talked about on A6 and Z quite a bit already, which is that in the past month, for the first
    0:08:49 time ever, we’ve seen the approval of not one but two gene therapies with approximately $2 million
    0:08:55 price tags each. So I’m going to welcome A6 and Z Biogeneral Partner Jorge Conde and A6 and Z
    0:09:00 Biomarket Dev Partner Jay Ragani. This is a really meaty topic and something I can’t believe
    0:09:07 or even trying to attack as a part of a 16-minute segment. I would just love to start with just
    0:09:12 quickly the lay of the land. Why is drug pricing so damn hard? So one of the things that often comes
    0:09:17 up, and it’s currently in the headlines right now, is why are drug prices in the United States so
    0:09:22 much more expensive than other countries? Why can’t the government and specifically Medicare
    0:09:26 use its purchasing power to negotiate against pharmaceutical companies? As you mentioned,
    0:09:30 it’s illegal, but the history is interesting. So the Medicare Modernization Act of 2003,
    0:09:35 the one that actually established Part D in the first place. What is Part D? Part D is the drug
    0:09:40 benefit for Medicare to cover prescription drugs. And what’s interesting in that is
    0:09:46 it established the Part D benefit, but it included a provision known as the non-interference clause,
    0:09:50 which effectively prevents the HHS from interfering. Department of Health and Human
    0:09:53 Services, the government agency that developed here. Exactly. So the Health and Human Services
    0:09:58 Secretary from interfering with any negotiations between the drug manufacturer and any of the
    0:10:03 other stakeholders in the value chain. Fifteen plus years later today, we have some bipartisan
    0:10:09 momentum to give Medicare the ability to negotiate. And I think it’s very important to note that when
    0:10:14 we talk about drug pricing, in general, you run the risk of conflating things. What’s being conflated
    0:10:19 here? Well, it’s one thing that the price of insulin continues to rise at the rate at which
    0:10:24 it’s risen. It’s one thing where sort of things that have been off-patent or have been generic
    0:10:29 for a long time all of a sudden get these very, very large price hikes. That’s different than
    0:10:33 saying a new therapy like a gene therapy that has the potential to be a cure, you mentioned,
    0:10:38 a $2 million price tag. Those therapies are A, expensive to discover. B, they’re very,
    0:10:42 very expensive to make. And C, they have real benefit. In this case, they’re potentially
    0:10:46 cures. And so you’re not giving someone a dose of a medicine. To be clear, you’re basically saying
    0:10:51 that it’s a one-time treatment and cure versus having to see a doctor with chronic therapy over
    0:10:55 and over and over again. For example, in the case of Zolgensma, it’s a gene therapy that was approved
    0:10:59 to treat children with spinal muscular atrophy, which is one of the leading genetic causes of
    0:11:02 infant mortality. Exactly. In that case, you’re not only giving these children health, you’re
    0:11:06 giving them life. And so these are two very different things. It’s talking about how we control
    0:11:10 rising costs of drugs that may not be on the cutting, still necessary, but not on the cutting
    0:11:14 edge of innovation versus the new… And that can get lost in the dialogue because these are
    0:11:18 obviously very complex debates. And for the latter, people can listen to your episode. Jorge
    0:11:24 did an episode with famous MIT economist Andrew Lowe, who has a really interesting proposal for
    0:11:26 thinking about how to fund these. So you can listen to that for more of a deep discussion.
    0:11:31 So now let’s go back to the big picture, lay of the land. So let’s remove the deep special
    0:11:36 new therapies off this particular discussion and talk about why are drugs so goddamn expensive?
    0:11:40 I’ll give you the thrust of some of the more common arguments. The first one is,
    0:11:45 they’re expensive because R&D is expensive. Developing a drug is time consuming. It’s risky
    0:11:50 and it costs a lot of money. And because there are a lot of failures along the way,
    0:11:55 the ones that are approved have to be priced as such to not only make money for that drug,
    0:11:59 but also to pay for all of the things that have failed. As Jay mentioned, it’s very clear that
    0:12:04 the United States, we pay a far higher price for most drugs than we do in the rest of the world.
    0:12:08 For a lot of the reasons that he mentioned, the counterargument from industry would be,
    0:12:12 well, for better or for worse, the United States is subsidizing R&D for the world.
    0:12:13 Right, the research and development.
    0:12:19 So that’s one issue. Another issue is that we do have this question of who has market power and
    0:12:24 it is illegal in the United States at the moment for the government to negotiate drug prices that
    0:12:27 would be considered price controls here in this country, even though that’s not the case
    0:12:32 in many parts of the rest of the world. Number three, we have a very complex industry structure.
    0:12:34 Tell me more about that, like the players that are involved here.
    0:12:39 Sure. So there are manufacturers who, generally speaking, discover and develop the drugs in
    0:12:42 the first place and commercialize them. And probably want to make money off of it.
    0:12:46 Then you have distributors and the distributors get paid to move drugs through the channel and make
    0:12:50 sure that the drugs get to where they need to go and can be in a hospital, a pharmacy, whatever it is.
    0:12:53 There’s a middle layer here. Yeah, there’s a middle layer here, the pharmacy benefit
    0:12:58 manager that helps actually the PVMs that helps manage who gets access to the medicines,
    0:13:00 who’s eligible versus who’s not.
    0:13:03 They sort of consolidate some of the information too, right? They sort of summarize the formularies
    0:13:07 for what are the drugs, for which condition, et cetera, et cetera, and that helps influence
    0:13:12 what gets prescribed. Yeah, so the B in pharmacy benefit manager, the idea was this sort of layer
    0:13:18 of the industry arises to help the insurers, the payers, control who gets access to the drug to
    0:13:21 make sure the right people get the drug and the wrong people don’t, and to help manage
    0:13:25 the benefits spent, which that’s the idea to the benefit of the insurer. But then, of course,
    0:13:29 that layer takes a cut of the economics, and it’s a very complex thing in form of rebates
    0:13:33 and otherwise. And then you have the insurers and the payers. The payers obviously want to
    0:13:37 minimize costs. They’re, in fact, just tying it back to the news. As I understand it, they’re in
    0:13:42 support of this current bill. Because it controls the increase of the cost of the drugs, but there’s
    0:13:46 always a risk for an insurer. If you’re reducing your drug spend, is there a potential that you’re
    0:13:51 going to have more expensive interventions? As you go through the system, there are various
    0:13:56 stakeholders that all get piece of economics, but there’s been studies that have been done that
    0:14:02 show that for every dollar of drug spend, the manufacturer gets a percentage that is surprisingly
    0:14:05 low. I would never have assumed that, because right now the narrative is like they’re extracting
    0:14:09 all the value. Yeah, and the reality is that there’s value taken along the way. So that’s an
    0:14:13 amazing breakdown of who the players are and their incentives and motives and just sort of how
    0:14:16 they’re thinking about it, because obviously we’re not going to answer and fix this in one
    0:14:21 episode. Now, let’s bring it back to the current news. So how does this sort of tie back into what’s
    0:14:26 on the table right now? The proposal here is to cap the amount of spend or the amount of cost
    0:14:30 that Medicare patients pay out of pocket in any given year and dropping it pretty significantly.
    0:14:35 I think it was in the $8,000 range, and now they’re talking about the $3,100 range. Oh,
    0:14:39 wow. Big difference. So that’s one big piece. The other one, at least as I understand the original
    0:14:44 proposal, is to cap how much you can increase the prices and tie it either to inflation or
    0:14:49 other mechanism by which annual price increases can occur over time. Now, the risk, of course, is
    0:14:53 having drugs be introduced at even higher prices, because if I’m capped at how much I can grow,
    0:14:57 right, I’ll start at a higher price. That’s right. Using maybe a terribly stretch analogy of rent
    0:15:02 control and the San Francisco apartment, the rent is going to start off thousands of dollars higher
    0:15:05 because you know you can barely incrementally increase it after that if you’re going back on
    0:15:09 the market. Yeah, I think the other element to add there is walking through the chain of
    0:15:15 stakeholders from the manufacturer to when a medicine ultimately gets in the hands of a patient.
    0:15:20 There is also a lot of narrative externally on the list price to net price differential.
    0:15:26 Oftentimes, a manufacturer will set a list price for a medicine, but that’s actually not the price
    0:15:32 that is paid for by the payer or by the patient. That rebate that is given back by the pharmacy
    0:15:37 benefit manager very rarely makes it to the patient or to the payer. So a lot of inflation
    0:15:42 without any felt tangible benefits whatsoever. Exactly. And so that’s why I think some criticize
    0:15:50 that some of the complexity in the chain and the lack of transparency creates unfair pricing policies.
    0:15:54 We can obviously dive into all the solutions, but just at a quick take in the 16 minutes episode,
    0:16:00 what are some of the things that technology can do? If you’re an entrepreneur looking at this space,
    0:16:05 the opportunity for technology to drive transparency across various different steps in this process,
    0:16:11 at least hopefully, and we’re optimists here, can drive down a lot of the waste that happens in
    0:16:15 the system. One of the things that people really are challenging, one of the things that we’re
    0:16:21 excited about is value-based care contracts or outcomes-based pricing. Yes. For some of these
    0:16:26 novel one-time cure therapeutics that have entered the market, you mentioned Novartis Zolgensma,
    0:16:31 Bluebirds and Tenglo. What’s challenging there and where there’s a real technology problem
    0:16:38 is how do you get the data to actually facilitate that contract? Basically, because if it’s saying
    0:16:42 value-based, how do you know it actually is being paid on value versus just some theory that it’s
    0:16:46 going to work? It actually works and therefore you pay based on that. Exactly. Manufacturers are
    0:16:52 proposing a money-back guarantee, but the data, the infrastructure, the plumbing does not exist
    0:16:56 today to effectively arbitrate those contracts at scale. That’s where technology can help.
    0:17:01 It’s a critical point because the chain is not only complex, it’s also not transparent,
    0:17:05 and so the potential for technology to have an impact there is pretty significant,
    0:17:12 but it also requires some help from policy to essentially make transparency, if not an obligation,
    0:17:17 at least to write. If you have that, then you can help to drive out some of the inefficiencies,
    0:17:20 drive out some of the frictions that exist in the system that ultimately lead to a higher cost.
    0:17:24 Well, quite frankly, the argument that I would make here as a believer in free markets is that
    0:17:27 they only work if there is transparency of information or symmetry of information and
    0:17:31 that that’s the thing that people always forget when these debates become all about free market
    0:17:36 economics versus price controls versus X versus Y. That is the key ingredient. The irony is that’s
    0:17:39 a very thing you need, yet it’s a very thing that’s being obscured. Okay, so bottom line it for me.
    0:17:43 What’s on the horizon here? Look, it’s clear that we as a country need to have a debate on how to
    0:17:48 deal with rising cost of health care generally and specifically rising cost of drug spend,
    0:17:53 and so I think it’s important that proposals are being made. This is obviously the first step of
    0:17:57 what’s going to be a broader and ultimately very complicated conversation because we’re talking
    0:18:02 about drugs that can cost tens or hundreds of thousands of dollars a year for chronic therapies.
    0:18:06 We need to find a solution to contain those costs and to make sure that the patients are
    0:18:09 getting the right therapies and that the system becomes accessible to everybody. Yeah, that access
    0:18:14 is taken care of and that the system can support it. But what’s coming down the pipe is that we have
    0:18:20 new modalities, new therapies like gene therapies, engineered cells that are really changing the
    0:18:25 definition of what a medicine can be. I think it’s a very important thing because the outcomes,
    0:18:30 and Jay was just describing value-based contracts and all that, the outcomes of what these therapies
    0:18:34 can do are very different than what we’ve seen. Cures are a very rare thing in medicine,
    0:18:38 but some of these things start to approach things that look like cures, but they’re very expensive
    0:18:44 to make. You mentioned Zolgensma. SMA is a disease where you otherwise did not have an option,
    0:18:50 and that can be a 10-year treatment horizon that now can be potentially addressed by one cure,
    0:18:55 and the cost that that pulls out in the system from an administration standpoint
    0:18:59 is also part of the value of that medicine. So the Center for Medicare and Medicaid Services
    0:19:04 Administrator Seema Verma earlier this year highlighted the fact that the current system is
    0:19:11 not set up to execute and support these kinds of new medicines. And less than until we have a system,
    0:19:16 and this includes policy, this includes technology layers and pipes to have the data of feeds that
    0:19:22 we need to understand what’s working and what’s not, and a way to address the cost that is entirely
    0:19:26 up front and mismatch with the benefit, which is over a very long period of time. We will find
    0:19:30 ourselves, I think, in the very challenging position where we have a healthcare system that is not
    0:19:34 able to support innovation, and I think that’d be the worst thing for society. Thank you, Jorge
    0:19:38 and Jay, for joining this segment. Thank you. Thanks for having us.

    with @martin_casado @jorgeconde @jayrughani and @smc90

    This is episode #2 of our new show, 16 Minutes, where we quickly cover recent headlines of the week, the a16z way — why they’re in the news; why they matter from our vantage point in tech — and share our experts’ views on these trends as well.

    This week we cover, with the following a16z experts:

    • . mobile malware and a recent report of a new kind in the wild and security in a post-perimeter world — with a16z general partner Martin Casado;
    • drug pricing given recent proposals on the table, sharing a lay of the land for why drug pricing is so damn hard, what is a medicine, and where tech comes in — with a16z bio general partner Jorge Conde and market dev partner Jay Rughani;

    …hosted by Sonal Chokshi.


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

     This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments for which the issuer has not provided permission for a16z to disclose publicly as well as unannounced investments in publicly traded digital assets) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • a16z Podcast: The Search for the Secret Metal that Powers All Our Devices

    AI transcript
    0:00:03 – Hi, and welcome to the A16Z podcast.
    0:00:05 I’m Hannah, and this episode is all about
    0:00:08 the exploration for and mining of minerals,
    0:00:10 specifically cobalt.
    0:00:12 In this conversation, I’m joined by Kurt Haus,
    0:00:14 CEO and co-founder of Cobalt Metals,
    0:00:18 Professor John Thompson of Earth and Geosciences at Cornell,
    0:00:21 and A16Z general partner on the consumer team, Connie Chan.
    0:00:24 We explain why it is that cobalt is suddenly one
    0:00:27 of the most important and in-demand metals on the planet,
    0:00:29 and how technology is transforming
    0:00:32 how we find it and the mining industry as a whole.
    0:00:34 Along the way, we touch on a little bit
    0:00:36 of battery tech history and science,
    0:00:39 and how entire chapters of human civilization
    0:00:42 are driven by the search for and mining of metals
    0:00:45 from ancient civilizations first finding copper
    0:00:47 to the major ground shift in the 1950s
    0:00:50 with geophysics and knowledge of plate tectonics.
    0:00:52 And finally, what kinds of new data sources,
    0:00:54 technologies, and techniques we can use
    0:00:56 to find more cobalt today.
    0:00:59 Everything from geophysical and geochemical data
    0:01:01 to agricultural information to old boxes
    0:01:03 collected over centuries in the basements
    0:01:05 and attics of mining companies.
    0:01:08 All of this to satisfy the incredible new demand
    0:01:11 as we enter a new age of battery metals.
    0:01:13 Why are we even sitting around this table
    0:01:14 talking about cobalt today?
    0:01:17 What is it that’s suddenly so interesting about cobalt?
    0:01:19 I think of it as a color, as a prep, right?
    0:01:20 – Well, that’s actually right.
    0:01:23 And that was the very, very first use of cobalt.
    0:01:26 The very, very first use was in dyes,
    0:01:29 and to get a particular type of blue,
    0:01:30 that was the principal way to do it.
    0:01:32 – And when was it discovered?
    0:01:34 – The actual metal was first isolated as a metal.
    0:01:36 And I think I’m pretty sure it’s 1739.
    0:01:39 – So if you go back 15 years or so,
    0:01:42 its principal uses were in high,
    0:01:44 sort of high strength steels and things like that.
    0:01:48 So cobalt demand sort of grew gradually,
    0:01:50 but everybody listening to this podcast
    0:01:53 and presumably listening to this podcast on their device
    0:01:57 has 10 grams of cobalt in that device about.
    0:01:58 – Some might be listening from their cars.
    0:02:01 – That’s true, so good point.
    0:02:02 In which case, if they happen to be driving
    0:02:05 an electric vehicle, it could be closer
    0:02:07 to 10 or 20 kilograms of cobalt.
    0:02:09 – It’s the battery that uses the cobalt.
    0:02:11 – It makes the best batteries.
    0:02:13 Everyone knows they have a lithium,
    0:02:15 sort of a lithium-ion battery in their phone,
    0:02:17 but that’s a chemical reaction
    0:02:19 between lithium and cobalt oxide.
    0:02:22 And so the two parts of the chemical reaction are essential,
    0:02:23 and the greatest energy density,
    0:02:26 greatest rate capability,
    0:02:28 how fast you can discharge the battery,
    0:02:30 greatest cycle life, that kind of thing.
    0:02:32 That has some or all cobalt in it.
    0:02:33 – Why is that?
    0:02:36 Can we get into the science of why that’s the best battery?
    0:02:38 – The reason cobalt makes a great battery
    0:02:40 is that the battery in your iPhone
    0:02:44 is what we call a lithium intercalation cathode.
    0:02:46 That’s a fancy name, but what it means is,
    0:02:47 lithium is the mobile ion.
    0:02:51 So a battery has an anode and a cathode,
    0:02:54 and an ion that moves from the anode to the cathode
    0:02:58 to react chemically and form a new molecule
    0:02:58 that’s more stable.
    0:03:01 The cathode looks like kind of like a layered sandwich.
    0:03:04 It has cobalt oxide, then lithium,
    0:03:06 then cobalt oxide, then lithium, then cobalt oxide.
    0:03:07 – Oh, like a layer cake.
    0:03:09 – A layer cake, in a fully discharged sense.
    0:03:11 You can imagine very intuitively why that’s good,
    0:03:14 because the lithium has to get access to the cobalt.
    0:03:15 So when you fully charge it,
    0:03:17 when you push the lithium out of the cathode,
    0:03:20 the lithium can intercalate into those spaces very easily.
    0:03:23 And put simply, cobalt forms
    0:03:25 the most stable layered structures.
    0:03:27 So as you pull lithium out,
    0:03:29 it doesn’t sort of disorder or change,
    0:03:32 and other similar metals tend to change.
    0:03:36 And when they change, then you lose capacity.
    0:03:37 Your battery fades over time.
    0:03:38 Basically because it forms
    0:03:40 that really robust crystal structure,
    0:03:43 it forms the longest lasting batteries.
    0:03:45 And then it also has the sort of the greatest energy
    0:03:48 per molecule for a lithium oxide battery.
    0:03:50 – And this is by orders of magnitude.
    0:03:53 So like right next to lithium on the periodic table is nickel.
    0:03:55 And if you made a nickel oxide,
    0:03:57 lithium nickel oxide battery, it would work okay.
    0:03:58 But on your first cycle,
    0:04:02 it would have maybe 10% less energy density.
    0:04:03 Over a hundred cycles,
    0:04:06 then it would have maybe 50% less energy density.
    0:04:07 – So it really adds up.
    0:04:09 In the same age when you’re shopping for your iPhone,
    0:04:12 battery life is one of the key things you think about.
    0:04:14 – And especially with your electric vehicle.
    0:04:16 – And with your electric vehicle, right?
    0:04:18 It determines how long you can drive with a car.
    0:04:19 – And batteries,
    0:04:21 the whole battery technology world is really interesting
    0:04:23 ’cause it’s such an important part of our life now.
    0:04:25 So if you go back 50, 100 years,
    0:04:28 the lead acid battery, which is the first car battery,
    0:04:31 which is still the dominant battery
    0:04:34 for starting lights and ignition, the SLI battery.
    0:04:35 But once you’ve got an established battery
    0:04:37 that works that people trust,
    0:04:38 it’s quite hard to displace it.
    0:04:40 So you’ve got to be convinced people
    0:04:41 with any new battery technology
    0:04:44 that it’s gonna deliver the right amount of charge
    0:04:46 at many, many times.
    0:04:49 If you bought your phone and tomorrow had to go back
    0:04:51 to get a new battery, you wouldn’t be very happy.
    0:04:52 – Right.
    0:04:55 – This is where Cobalt is a key piece of that puzzle
    0:04:57 ’cause it offers a level of reliability
    0:05:00 that it’s gonna be hard to substitute.
    0:05:01 – To sum it up simply,
    0:05:03 it’s the things you really care about
    0:05:05 are rate at which you can charge and discharge it,
    0:05:07 how much energy there is per unit mass
    0:05:08 and per unit volume,
    0:05:11 and how long it lasts in a single charge
    0:05:14 and then how much that charge fades over many cycles.
    0:05:17 And for all those elements, Cobalt is superior.
    0:05:20 – So we went from using it to make a pretty color
    0:05:23 to suddenly needing it all around us.
    0:05:24 – You can almost define human history
    0:05:26 by the types of metals that we were pulling
    0:05:28 out of the ground during that time.
    0:05:31 And in fact, if you look at the 8,000 years
    0:05:34 from the beginning of the metal ages to about 1970,
    0:05:37 we produced a certain amount of metals
    0:05:38 we pulled out of the ground, called that X.
    0:05:41 In the last 50 years, we pulled out the same amount again.
    0:05:43 So throughout all human history, now we’ve pulled out two X.
    0:05:45 We reproduced it in the last 50 years.
    0:05:47 In the next 30, we’re gonna pull out another two X
    0:05:49 just on current trends, okay?
    0:05:51 It’s the mass of materials coming out of the ground.
    0:05:52 But here’s the thing,
    0:05:54 the types of metals that we’re pulling out of the ground
    0:05:58 are changing and they’re changing for both society trends
    0:05:59 and society’s needs, right?
    0:06:01 So in the next less than 100 years,
    0:06:04 we have to rebuild the entire energy infrastructure
    0:06:05 of the world.
    0:06:07 Some of that requires the types of metals
    0:06:08 that we’ve been pulling out of the ground for a long time,
    0:06:10 but some of it requires totally new metals.
    0:06:12 And we need lots of new materials.
    0:06:13 We need lots of lithium.
    0:06:14 We need lots of manganese.
    0:06:15 We need lots of cobalt.
    0:06:19 If we’re going to convert the entire automobile fleet
    0:06:20 to an electric fleet,
    0:06:23 we need vastly more cobalt than we’ve pulled out to date.
    0:06:24 And in order to do that,
    0:06:26 we need to find new sources of cobalt
    0:06:27 and that’s what we do.
    0:06:28 So how do you do that?
    0:06:29 The metal that we need is changing
    0:06:30 and now we need cobalt.
    0:06:33 How is the way we mine the way we source it changing too?
    0:06:35 And actually, let’s go back and start earlier.
    0:06:37 What does the history of mining cobalt look like?
    0:06:39 The act of exploration and discovery
    0:06:42 is fundamentally an information problem, right?
    0:06:45 And so the mineral exploration business
    0:06:47 is an incredibly old industry
    0:06:49 and it’s essentially driven and been driven
    0:06:53 by the evolution of civilization.
    0:06:55 Right, it’s as old as humanity.
    0:06:56 It started pretty much with copper
    0:06:59 and that’s because people have actually found copper,
    0:07:00 the metal sticking out of the ground.
    0:07:01 So they used it.
    0:07:02 They could make it into different things
    0:07:04 and make it into ornaments and so on.
    0:07:06 So this was the very beginnings of metallurgy
    0:07:08 as a science, as a discipline.
    0:07:11 It’s very cool because they somehow very creatively
    0:07:13 worked out how to extract metals from rocks
    0:07:16 that looked green ’cause they have copper in them
    0:07:18 but didn’t obviously show the copper
    0:07:21 until they were smelted effectively in a very hot fire
    0:07:24 and a fire that was a lot hotter than a campfire.
    0:07:25 So somehow these people had figured out
    0:07:28 how to get the temperature of the fire up to a level
    0:07:32 where it could reduce the copper bearing material
    0:07:34 and extract the metal from that and that’s amazing.
    0:07:37 So that’s six, 7,000 years ago.
    0:07:39 And that process of exploration back then
    0:07:41 just looked like kind of studying the land,
    0:07:44 understanding and reading the earth around us.
    0:07:46 I read an article recently about the Vikings
    0:07:51 and the age of iron and how the Vikings, they think,
    0:07:53 were able to identify where the iron,
    0:07:56 the bog iron was through a kind of microbial sheen,
    0:07:57 apparently.
    0:07:59 It’s all based on observation.
    0:08:02 And then sort of correlation of different factors
    0:08:05 that were purely observation and experiential.
    0:08:07 Effectively, that’s the sort of original prospect
    0:08:09 of the person who could go into the ground
    0:08:11 and recognize that this had potential.
    0:08:15 And that really was the way all exploration was done
    0:08:17 until about 1950.
    0:08:19 They went to places where they could still observe
    0:08:20 the metals or the minerals then
    0:08:22 that they knew had the metals in,
    0:08:24 even if they didn’t understand exactly why
    0:08:26 or how or what the concentration was.
    0:08:27 – But oftentimes the minerals
    0:08:29 aren’t sitting above the earth.
    0:08:30 – No, not now.
    0:08:33 They’d find it on the surface and they’d keep mining down.
    0:08:34 And originally they would mine down
    0:08:35 till they hit the water table
    0:08:37 and then they couldn’t deal with it.
    0:08:40 The Romans then started using wheels to actually de-water.
    0:08:42 So they could then go deeper.
    0:08:44 And the breakthrough in the Industrial Revolution
    0:08:45 was the steam engine,
    0:08:47 which then allowed them to make pumps
    0:08:50 that then could take the water from much, much deeper levels.
    0:08:52 So at that point then they could chase it further and further.
    0:08:54 But they didn’t know where it was going.
    0:08:55 They just followed it.
    0:08:56 – Blindly.
    0:09:00 – So the 1950s was when we started to develop technologies,
    0:09:02 remote technologies, geophysical technologies
    0:09:04 that could predict where things were going
    0:09:07 and predict where things might be.
    0:09:08 – Really recent actually.
    0:09:10 – And what were those sort of different sources
    0:09:12 of information in the 1950s that changed
    0:09:13 that we started becoming aware
    0:09:15 of these new Earth’s processes?
    0:09:16 – So two really.
    0:09:19 One was what was called the plate tectonic revolution
    0:09:21 of the 1960s to 70s.
    0:09:24 When people realized that the planet is dynamic
    0:09:26 and that the planet is descending
    0:09:29 off the west coast here of North America,
    0:09:31 the ocean plate is going beneath us
    0:09:34 and that’s giving us all earthquakes and volcanoes and so on.
    0:09:37 And simultaneously was the development of geophysics.
    0:09:40 So the ability to detect the signature of the Earth
    0:09:43 beneath the surface in terms of its physical properties.
    0:09:46 So how magnetic it is, how dense it is,
    0:09:47 how conductive it is,
    0:09:49 we started to be able to measure those things.
    0:09:51 Those measurements, the data that comes from that,
    0:09:54 correlates in some cases with the presence of metals.
    0:09:56 – How much does it correlate?
    0:09:57 How predictive was it really?
    0:09:58 – Poorly is the answer.
    0:10:00 (laughing)
    0:10:03 There were many false positives.
    0:10:06 So we generated maps of magnetic signatures
    0:10:08 and people would say there’s all these
    0:10:10 fancy looking anomalous bumps in the data
    0:10:13 and they drill them, they put holes in the ground
    0:10:15 and it turned out that one in a hundred
    0:10:16 would actually be interesting.
    0:10:18 – Incredible amount of investment and effort
    0:10:20 and tools, interesting.
    0:10:21 – And that hasn’t changed.
    0:10:22 We’ve got more and more tools now,
    0:10:26 but if statistically when we look at the chance of discovery,
    0:10:27 our odds are still very low.
    0:10:28 You know, we’re in thousands,
    0:10:30 one in thousand, one in 5,000.
    0:10:31 – Well, let’s go back to Cobalt
    0:10:33 and talk about what that process has looked like
    0:10:35 for Cobalt because it hasn’t,
    0:10:37 we haven’t, there hasn’t been a reason
    0:10:41 to invest a lot of discovery in Cobalt, right?
    0:10:42 Up until this point.
    0:10:43 – Yeah, that’s exactly right.
    0:10:44 – Besides pretty pictures.
    0:10:45 – Right, that’s right.
    0:10:46 So one of the interesting things
    0:10:49 about Cobalt in particular as a metal
    0:10:51 is that you have big copper mines
    0:10:52 that are principally there because of copper
    0:10:55 and they also have a lot of copper and a little bit of Cobalt.
    0:10:57 – And that just happens to be because Cobalt and copper
    0:10:58 tend to be–
    0:10:59 – Hang out together.
    0:11:00 – They hang out together.
    0:11:01 – Not always, but in certain circumstances they do
    0:11:04 and so it was, effectively the marginal cost
    0:11:06 to produce Cobalt out of these mines is very low.
    0:11:07 – A nice little extra perk.
    0:11:08 – It’s an extra perk, right?
    0:11:09 You would develop the mine anyway
    0:11:11 if there was no Cobalt there.
    0:11:14 So you have this sort of kind of gift to the world.
    0:11:16 We’re gonna invest in copper production
    0:11:18 and we get a little more, a little Cobalt.
    0:11:19 And same thing with nickel.
    0:11:22 You get a lot of Cobalt associated with nickel.
    0:11:25 So that byproduct production of Cobalt
    0:11:28 alongside copper and nickel was more than sufficient
    0:11:32 to supply the world up until now.
    0:11:33 – When you say more than sufficient,
    0:11:35 does that mean sometimes people didn’t?
    0:11:36 – Absolutely.
    0:11:38 – So there’s just piles of Cobalt sitting around?
    0:11:40 – Even just in the last 15 years
    0:11:42 where copper mines were developed,
    0:11:45 the Cobalt was well-known, its presence was well-known
    0:11:47 and investment decisions were made
    0:11:49 not to extract the Cobalt from the ore,
    0:11:51 to extract the copper and to throw the Cobalt
    0:11:53 into the tailings pile.
    0:11:54 – Why?
    0:11:58 – Because at the time if you did make that investment
    0:12:01 and supplied that Cobalt, it would have tanked the market.
    0:12:02 – Too much.
    0:12:05 – Because the demand was not there from the smartphones
    0:12:07 and the laptops and the electric cars yet.
    0:12:08 – Nobody needs it.
    0:12:09 – Quite literally.
    0:12:10 – Exactly.
    0:12:12 And so now the whole situation has flipped.
    0:12:15 So now all of those mine tailings
    0:12:19 that are full of Cobalt and that are known
    0:12:21 are being reprocessed or investments are being made
    0:12:22 to go reprocessed.
    0:12:24 – So everyone that was sitting on a garbage pile of Cobalt
    0:12:26 is suddenly feeling good about it.
    0:12:27 – Oh, absolutely.
    0:12:30 In fact, the two largest projects to come online
    0:12:34 in the next 18 to 24 months are exactly that,
    0:12:36 our waste pile reprocessing projects.
    0:12:40 But in order to convert the entire global vehicle fleet
    0:12:45 to electric vehicles, we need vastly more than is available.
    0:12:47 – Even just current predictions,
    0:12:48 if you include global demand,
    0:12:52 especially from Asia of electric vehicles,
    0:12:56 we’re likely gonna run out of Cobalt from known supply
    0:12:57 in less than 10 years.
    0:13:00 – Wow, we have the sudden increased demand.
    0:13:02 What are the sourcing efforts starting to look like?
    0:13:05 How is it changing how we actually find and source Cobalt?
    0:13:06 – If you look into the scientific literature
    0:13:09 and you look at gold or deposit formation,
    0:13:12 you’ll find a very rich scientific literature
    0:13:13 on how gold deposits form.
    0:13:15 You’ll find a very rich scientific literature
    0:13:17 on how copper deposits form.
    0:13:19 You will not find a rich scientific literature
    0:13:21 on how Cobalt deposits form
    0:13:22 because people haven’t looked for it
    0:13:23 and people haven’t done that.
    0:13:24 – Right, there was not the same incentive.
    0:13:25 It just wasn’t important.
    0:13:27 – So, John, what does that science look like
    0:13:29 for how to find Cobalt?
    0:13:30 How much do we know?
    0:13:32 – Not very much is the simple answer.
    0:13:35 I mean, it’s kind of starting pretty at a basic level.
    0:13:37 If we wanted cobalt, we’d have gone looking for copper
    0:13:38 and we know how to do that quite well.
    0:13:40 And we’d have to go looking for nickel.
    0:13:42 – So it’s kind of like piggyback on other knowledge.
    0:13:44 – And when we’d hope that we found some copper
    0:13:45 and oh, this is terrific.
    0:13:47 We’ve got a bit of extra cobalt.
    0:13:49 But there’s no science basis for that
    0:13:51 to what actually makes cobalt tick.
    0:13:56 So understanding what kind of liquid will transport cobalt?
    0:13:59 So if we have a fluid that moves through the earth,
    0:14:02 you know, just water dominated, maybe salty water,
    0:14:05 it moves through the earth and it interacts with a rock,
    0:14:07 will it actually extract cobalt?
    0:14:09 We know kind of how much copper it might extract,
    0:14:10 but we don’t know with cobalt.
    0:14:13 So if it did and then it keeps moving
    0:14:15 and then that liquid kind of comes up on the surface
    0:14:17 or comes into a different environment,
    0:14:18 would it precipitate cobalt?
    0:14:20 We don’t know the answer to that either.
    0:14:21 And yet we know it did that
    0:14:23 because we can find occurrences around the world
    0:14:25 which are rich in cobalt.
    0:14:27 And we can see the evidence that came
    0:14:30 from the passage of a liquid through the rock
    0:14:33 and it left the cobalt behind in cobalt minerals.
    0:14:34 – So that’s one clue.
    0:14:35 – So that’s one clue.
    0:14:36 And if we understand how that work,
    0:14:38 then can we extrapolate to other areas
    0:14:40 and predict where it might work again
    0:14:42 or where it might even work even better
    0:14:44 and give us a greater concentration of cobalt?
    0:14:47 So that’s the science kind of basis.
    0:14:49 – And what are some of the other clues
    0:14:50 that we’re starting to gather
    0:14:51 and where you wanna dive deeper
    0:14:54 into why is this happening with cobalt?
    0:14:56 – Well, it’s key to understand it’s not that rare.
    0:14:58 – When you look at the distribution of cobalt,
    0:15:01 it occurs in environments that formed from liquid rocks,
    0:15:03 so very high temperature, plus 1,000 degrees,
    0:15:06 but also it’s precipitating on the ocean floor,
    0:15:08 deep, deep on the ocean floor below 4,000 meters
    0:15:10 beneath the surface.
    0:15:13 We have the nodules, these little concentrations of metal
    0:15:15 that are precipitating out of seawater.
    0:15:17 And so at seawater temperature,
    0:15:19 that’s two degrees in the deep ocean.
    0:15:20 – And how do we know those are there?
    0:15:23 – They were found in the late 1800s on an expedition
    0:15:25 that was just dredging stuff off of the bottom
    0:15:27 for the heck of dredging stuff off of the bottom.
    0:15:28 – Oh my gosh.
    0:15:29 – We pulled up these little round balls
    0:15:30 called manganese nodules
    0:15:33 because the major constituent actually is manganese,
    0:15:35 but they contain significant cobalt.
    0:15:38 – And how interesting that that’s what exploration was back
    0:15:39 then like let’s just drag.
    0:15:42 – Yeah, let’s just pick stuff up on the ocean
    0:15:44 and see what’s there.
    0:15:45 – The result is we know cobalt can form
    0:15:46 at really high temperatures
    0:15:49 and we know it can form at really cold temperatures.
    0:15:50 That’s a huge range of conditions,
    0:15:52 range of pressures, temperatures.
    0:15:53 Now we want to get a little bit smarter
    0:15:56 and cleverer understand which of those range of conditions
    0:15:58 will give us more cobalt
    0:16:01 relative to copper or nickel or manganese
    0:16:01 or other things that make them more.
    0:16:04 – I think that’s where the data play makes so much sense.
    0:16:07 – Exactly, that takes us into now the data world.
    0:16:09 – Because rather than like comparing
    0:16:10 various exploration efforts,
    0:16:11 they’re looking at places
    0:16:13 that are fundamentally so different.
    0:16:17 Now you can track every known source of cobalt
    0:16:20 and what aspects or what qualities
    0:16:22 around that land made it particular
    0:16:23 and then pattern match.
    0:16:25 – There’s pattern matching that process
    0:16:28 and then there’s just looking at the patterns of data
    0:16:30 until and get them to tell us a story.
    0:16:33 – That almost reminds me of like the initial way
    0:16:35 of looking at the landscape with very little information
    0:16:38 and trying to pattern match the green rocks
    0:16:40 or the iron sheen or what have you,
    0:16:42 but this is like at a much higher resolution
    0:16:45 and much greater than any one human could ever do, right?
    0:16:49 – What the data world can do for us now AI machine learning,
    0:16:51 it is the 21st century prospector
    0:16:54 because it’s not biased and prospectors weren’t biased.
    0:16:55 They were just observers.
    0:16:57 So the digital world can observe and integrate
    0:17:01 and interrogate the data in ways that we humans,
    0:17:04 geologists with all our biases will never do.
    0:17:07 – And we can go back and look at all the other historical
    0:17:10 known traces of cobalt and all the reports that are written
    0:17:13 that are like in PDF form right now actually
    0:17:15 over the last several decades.
    0:17:18 – Or not even in PDF, yes, or in paper form.
    0:17:21 – So where are you pulling these different
    0:17:22 information sources from?
    0:17:23 What are they?
    0:17:25 What are the main streams of different kinds of information?
    0:17:27 – There’s a huge amount of information out there.
    0:17:30 The challenge is that it’s not well-structured
    0:17:32 or even digitized in some sense.
    0:17:34 You have geophysical data, which is that we’re talking
    0:17:36 about things like gravitational anomalies,
    0:17:40 magnetic anomalies, electromagnetic responses,
    0:17:42 things like that, it’s a whole class of data.
    0:17:45 Geochemical data is compositional data
    0:17:48 in basically a point in space
    0:17:52 and a list of concentrations at that location.
    0:17:53 Then you have mineralogical data,
    0:17:55 which is like geochemical data, but it’s more complex
    0:17:58 because it gets into not just a list of elements,
    0:18:01 but actually what molecules the elements were in.
    0:18:04 And then you have things like agricultural information,
    0:18:05 right, which are sort of indirect
    0:18:07 or topological information.
    0:18:09 – Meaning like what is the soil like here?
    0:18:11 – I mean, this is used for inference, right?
    0:18:13 It’s not necessarily direct observation,
    0:18:14 but that’s really important.
    0:18:18 Then hyperspectral data, which is just the wide band
    0:18:21 of electromagnetic emissions and reflection
    0:18:22 from the surface of the earth.
    0:18:23 – Is weather a part of that as well?
    0:18:25 – Groundwater is a great source of information.
    0:18:30 So you have very, very wide sets of data.
    0:18:33 That data has been collected over centuries really.
    0:18:35 – Right, it sounds like basically every piece of knowledge
    0:18:37 we have about the earth and the way the earth works.
    0:18:39 – That’s exactly right.
    0:18:40 To first order, every piece of knowledge
    0:18:42 about how the earth works and what about the earth
    0:18:43 is relevant.
    0:18:45 It’s just a matter of how relevant,
    0:18:47 those sort of relative weightings of importance.
    0:18:49 And so in certain jurisdictions,
    0:18:52 that data has been sort of aggregated in certain ways.
    0:18:54 And there’s a lot of it as public in certain places.
    0:18:56 It has not even been digitized.
    0:18:58 – Over what kind of time scale are you looking at?
    0:19:00 Is this all like fresh new data?
    0:19:02 Is this data from 200 years ago?
    0:19:04 When people were panning for gold?
    0:19:06 – Both, new and old.
    0:19:07 So something like–
    0:19:09 – The good thing is the rock doesn’t move that quickly.
    0:19:11 – That’s the one possible.
    0:19:13 – So 200 years ago is not really that.
    0:19:15 – That’s so fun.
    0:19:16 – Unlike a lot of, it’s actually interesting.
    0:19:19 Unlike a lot of data analytics and data science plays,
    0:19:22 we are looking at effectively a static system.
    0:19:23 I mean, of course the earth is dynamic,
    0:19:25 but on a time scale we’re looking at it,
    0:19:26 it’s effectively static.
    0:19:30 That’s a very different data science problem,
    0:19:31 but we’re dealing with sparse data
    0:19:34 and then we’re dealing with highly, highly disparate data.
    0:19:37 So we have a program of trying to aggregate
    0:19:38 all these different data sources
    0:19:40 and then do two different things on it.
    0:19:43 From one side, we have our basic science approach,
    0:19:46 which is sort of how these ore bodies formed,
    0:19:49 cobalt or any other material we might be looking for,
    0:19:51 and then looking for those sorts of indicators.
    0:19:53 And then you have the really exciting thing,
    0:19:56 which is the data, rather than us asking the data questions,
    0:19:58 the data tells us stuff, right?
    0:20:00 So this is where your machine learning
    0:20:02 or statistical association modeling becomes important, right?
    0:20:05 Because the data itself can make predictions
    0:20:07 based on the patterns that it sees.
    0:20:10 And that’s where you eliminate the human bias
    0:20:13 and the non-systematic approach of historic exploration.
    0:20:15 – Yeah, and just like to tie that back to again,
    0:20:18 like the demand for cobalt is so new.
    0:20:20 So there’s lots of reports out there
    0:20:23 where they’ll say there’s known cobalt in these places,
    0:20:24 they just didn’t go mine them.
    0:20:27 If you even get all those reports and digitize them
    0:20:28 and look on a map, oh, you know,
    0:20:31 all those reports are clustered in these areas.
    0:20:33 That already surfaces some interesting sites.
    0:20:37 – And probably enough, if you go back 30, 40 years,
    0:20:39 a lot of the people out exploring
    0:20:41 were very good at identifying minerals,
    0:20:43 and better than we probably are now,
    0:20:46 because we rely on a lot of extra tools to do it for us now.
    0:20:47 And they recorded that presence of that mineral.
    0:20:50 So now you’re not looking through all these old texts
    0:20:52 for the word cobalt, because they didn’t write cobalt down.
    0:20:55 They wrote down the name of a scooterotorite,
    0:20:58 which is a very, you know, as a particular code arsenic.
    0:21:00 So yes, they would have found that interesting,
    0:21:02 but not from a commercial perspective.
    0:21:04 They just thought it was cool.
    0:21:05 They found another mineral,
    0:21:06 because they were just like being a birdwatcher.
    0:21:08 They were mineral watchers, so they recorded that.
    0:21:10 So now you’ve got to go through the data
    0:21:12 and find those references to that kind of thing.
    0:21:15 – I just want to drill one level down just for like fun color.
    0:21:17 Where do those reports live now?
    0:21:19 Where are these types of data coming from?
    0:21:21 I mean, the modern data must be easier to access,
    0:21:23 but the old data– – Boxes.
    0:21:25 Boxes and boxes and boxes and boxes and paper.
    0:21:26 – In warehouses. – Warehouses.
    0:21:28 – Dusty basements. – Basements.
    0:21:31 – How do you even get access to all these?
    0:21:31 – It’s hard.
    0:21:33 I mean, some of the mining companies
    0:21:34 are 100-year-old companies,
    0:21:36 and they have 100-year-old data.
    0:21:38 And so they have boxes and boxes sitting there.
    0:21:41 Some would be well-archived and cataloged,
    0:21:43 and some is completely unknown.
    0:21:45 And inside those boxes could be anything.
    0:21:47 It could be actual good information,
    0:21:48 a mention of a mineral,
    0:21:50 or it could be some mention of a conversation
    0:21:51 between two people.
    0:21:54 And in the conversation, they made mention that,
    0:21:57 “Oh, when I was in the hills, I found this rock,
    0:21:58 and it has this mineral in it,
    0:22:00 and that happens to be a cobalt mineral.”
    0:22:03 – 20 years ago, if you went to a new city,
    0:22:05 and you wanted to find a business in a new city,
    0:22:07 you had to get the yellow pages for that city,
    0:22:09 and you had to get a paper map for that city,
    0:22:12 and you had to look up the address in the book,
    0:22:15 and then you had to look on the map for that location.
    0:22:17 And a lot of what mineral exploration does now
    0:22:18 is exactly that.
    0:22:21 It’s very site-specific.
    0:22:23 You kind of collect all the data for a new project
    0:22:24 in a new area at a new time.
    0:22:28 But it’s relatively easy to image the surface of the earth
    0:22:29 and the infrastructure of the earth
    0:22:30 and the way Google Maps did,
    0:22:33 and to catalog all the businesses.
    0:22:36 The problem we deal with is data sparsity, right?
    0:22:37 So in some locations,
    0:22:40 we have tremendous amounts of surface data density
    0:22:43 and meaningful amounts of subsurface data density.
    0:22:46 And in other locations, it’s very data poor.
    0:22:49 And so then we have to use really sophisticated statistics,
    0:22:52 really, to try to figure out and predict
    0:22:53 what is in those materials,
    0:22:55 what is in those areas where there is no data.
    0:22:58 How do you actually deal with that incredible variety
    0:23:00 and huge amounts of data in some areas
    0:23:02 and very little, very old data in other areas?
    0:23:04 It’s about making predictions, right?
    0:23:07 So it’s about using places where there is a high density
    0:23:10 of data and you can train and make predictions
    0:23:11 and then make those predictions in areas
    0:23:13 where there isn’t high densities of data
    0:23:16 and then go out and validate it by collecting new data.
    0:23:18 It’s interesting because in some ways
    0:23:20 it feels incredibly modern and new,
    0:23:22 but in other ways it also feels like a kind of old fashioned way
    0:23:24 of exploring again.
    0:23:25 Actually, a lot of this reminds me
    0:23:28 of like their original idea of venture capital,
    0:23:31 which is when kings and queens would fund
    0:23:34 these exploration efforts to look for natural resources
    0:23:36 or look for new land or whatever they were looking for.
    0:23:39 – The whole idea of exploring the earth
    0:23:42 to encourage people to look for the materials that we need
    0:23:45 such that society can improve and do new things.
    0:23:47 That’s an old concept.
    0:23:49 That’s what developed California ultimately,
    0:23:52 was that influx of people looking for gold.
    0:23:55 And governments also fairly early, 150 years ago,
    0:23:57 started mapping the rocks on the surface
    0:23:59 because they knew if they map rocks
    0:24:02 that somebody would recognize associations
    0:24:04 and realize that that might have potential
    0:24:05 and therefore they’d go exploring,
    0:24:07 therefore they’d find things and that would then open up
    0:24:09 and create economic activity and so on.
    0:24:12 It’s a very old cycle we’re repeating,
    0:24:13 but more efficient and more effective.
    0:24:15 – Because now one of those explorers is a computer.
    0:24:18 – Yeah, it’s also gonna help us actually mine
    0:24:21 more efficiently and more effectively and more cleanly.
    0:24:23 And that’s really important because to me,
    0:24:25 there’s no point in us going electric
    0:24:27 and having electric cars using cobalt for batteries
    0:24:30 and so on to do that if we create a big mess
    0:24:31 in terms of providing those materials.
    0:24:34 So we’ve not only got to find it better,
    0:24:36 we’ve also got to then exploit it and develop it
    0:24:38 in a way that’s more efficient and cleaner
    0:24:39 and doesn’t have the kind of problems
    0:24:41 that we’ve seen all over the world.
    0:24:44 – Well, I think it’s fantastic to think about the way
    0:24:46 that the searches and exploration for these metals
    0:24:50 have driven sort of entire chapters of human civilization.
    0:24:53 And if we think about that, the age of copper,
    0:24:55 the age of iron, if we think now we’re entering
    0:24:57 the age of cobalt, what are some of the ripple effects
    0:25:01 that we’re gonna see as we begin to more smartly mine
    0:25:05 and access this new incredibly important mineral?
    0:25:08 – Trying to solve climate change and other major issues
    0:25:10 that requires very specific use of commodities
    0:25:12 that we’re not so familiar with, like cobalt.
    0:25:15 And so that changes the way we need to think about them
    0:25:17 and the way we therefore also need to exploit them.
    0:25:20 And the exploitation part is to be more selective.
    0:25:22 We’ve been, we’ve bulk mined everything.
    0:25:23 So we make big, big holes in the ground
    0:25:26 in order to get iron ore or copper out of the ground.
    0:25:28 And if we want to be really clever,
    0:25:31 we’ve got to only find higher concentrations
    0:25:33 because higher concentrations are more efficient.
    0:25:36 But we also now need to try and be very selective
    0:25:37 about how we mine them.
    0:25:38 – Have much higher certainty.
    0:25:40 – Yeah, so, and it’s great if we go back
    0:25:43 and reprocess the tailings, which as we’re doing for cobalt.
    0:25:45 And actually the Romans were the first people
    0:25:48 who started reprocessing waste rocks to do that.
    0:25:50 They did a couple of cycles of this kind of stuff.
    0:25:52 So that’s not a new idea either.
    0:25:53 But it’d be much better to be a really efficient
    0:25:56 at the outset and extract as much metal as we can
    0:25:58 from the less and less volumes of rock
    0:26:01 instead of moving more and more rock to get, you know,
    0:26:03 to get metal. – And from a consumer perspective,
    0:26:05 this can result in much better batteries.
    0:26:08 Because right now even the amount of cobalt
    0:26:11 in the battery is kind of a financial decision.
    0:26:11 – Oh really?
    0:26:12 – And sourcing this decision.
    0:26:14 – A financial and sourcing decision, right.
    0:26:17 Like if these companies could put more cobalt
    0:26:19 than they put in today in their batteries,
    0:26:20 it would still be a better battery.
    0:26:22 So if we want batteries or iPhones
    0:26:25 that last one, two weeks without a charge.
    0:26:27 – Yeah, we need more cobalt.
    0:26:28 – Yeah.
    0:26:29 – You know, there must be a cobalt craze, right?
    0:26:31 Like everyone, everyone and their mom
    0:26:33 suddenly wants to go mining cobalt.
    0:26:35 – That’s the other cobalt issue
    0:26:37 is that a lot of it comes from the DRC.
    0:26:40 – Over two thirds of the world’s supply.
    0:26:42 And again, remember, cobalt’s not a rare metal.
    0:26:45 So the fact that two thirds of our supply
    0:26:48 comes from the DRC, the Congo right now
    0:26:48 is largely a function
    0:26:51 of where those copper and nickel mines historically were.
    0:26:54 – And it’s mined at a scale of local people
    0:26:56 who don’t aren’t regulated,
    0:26:59 don’t necessarily do it in an appropriate manner
    0:27:01 and use child labor and may have links
    0:27:03 to all sorts of other potential problems.
    0:27:05 It’s basically done by local people
    0:27:07 and DRC in other parts of the world.
    0:27:11 They’re doing it because they are impoverished
    0:27:14 and they feel they can probably make a better living
    0:27:16 by scraping up the material
    0:27:19 than plowing a little piece of land.
    0:27:20 – Well, this highly valuable material.
    0:27:21 – Highly valuable material.
    0:27:24 – So it’s these small teams that are taking the gamble
    0:27:29 and using shovels and very basic tools to go look for this.
    0:27:30 – Correct.
    0:27:32 – So that’s actually how it’s happening right now still
    0:27:34 is just small groups of people
    0:27:37 with eyeballs and shovels in the dirt.
    0:27:40 Consumers care about where their products came from now.
    0:27:42 They care about the ingredients.
    0:27:44 They care about how they were made.
    0:27:47 They care about if this came from a local farmer.
    0:27:49 So they will eventually start also caring
    0:27:52 about where their batteries came from.
    0:27:54 – In the DRC where this is done,
    0:27:56 they are mining material where,
    0:28:00 which was originally a copper cobalt deposit
    0:28:04 that then suffered thousands of years of weathering.
    0:28:07 So rain came down and dripped through the rocks
    0:28:10 and it actually separated the copper from the cobalt.
    0:28:12 So the cobalt stayed near the surface
    0:28:14 and deeper down it gets more copper rich.
    0:28:15 And the mineral that they mine now
    0:28:18 is it’s got this great name called heterogenite,
    0:28:20 which as you might guess,
    0:28:21 is something to do with being heterogeneous.
    0:28:22 It looks all over the place.
    0:28:23 It’s really messy stuff.
    0:28:26 And they can just literally dig that up and put it in bags.
    0:28:27 But unfortunately,
    0:28:29 that also concentrate quite a bit of thorium,
    0:28:30 which is radioactive.
    0:28:34 So now we have artisanal miners, local people and kids
    0:28:36 who are mining bags for this stuff,
    0:28:37 which is slightly radioactive.
    0:28:38 It’s not super radioactive,
    0:28:40 but it’s radioactive enough to cause concern.
    0:28:41 They don’t know that.
    0:28:43 They’re just interested in getting bags full
    0:28:46 and getting paid for the bag of dirt that they scrape out.
    0:28:49 Some people estimate as many as 100 million people
    0:28:53 on the planet involved in some kind of activity
    0:28:54 like this at this scale.
    0:28:55 Not just cobalt.
    0:28:56 Not just cobalt.
    0:28:59 Gold diamonds, other coltan, other minerals.
    0:29:03 Okay, so let’s talk about what this new kind of endeavor
    0:29:07 of exploration and mining and knowledge aggregation,
    0:29:10 what does that mean on the company building side?
    0:29:11 Who do you need?
    0:29:13 What kind of people do you need
    0:29:16 to sort of represent all those different elements?
    0:29:17 It’s a fantastic question.
    0:29:21 And basically it’s two very different classes of people
    0:29:23 and they’re both essential.
    0:29:26 Our company is effectively half made up
    0:29:29 of economic geologists, geochemists,
    0:29:30 mineral explorationists,
    0:29:33 people who have spent their careers
    0:29:34 looking in sort of the conventional manner
    0:29:36 for mineral deposits of all kinds.
    0:29:39 And then the other half is data scientists, right?
    0:29:41 And so one of my co-founders,
    0:29:44 has got his PhD in quantum computing.
    0:29:46 And the other one was the chief reservoir engineer
    0:29:49 for ConocoPhillips for many years.
    0:29:52 Oil and gas has been incredibly sophisticated
    0:29:54 in how they use technology
    0:29:56 because there’s a very clear financial reason
    0:29:58 to go find oil and gas.
    0:29:59 Right, right.
    0:30:02 But that same sophistication has not brought
    0:30:04 over to mineral and metal exploration.
    0:30:07 We relatively well understand the environment
    0:30:08 in which we find oil and gas
    0:30:10 and we have very good sophisticated tools
    0:30:12 to then help us do that.
    0:30:15 So the mining business is playing cash up on discovery
    0:30:17 and it’s playing cash up on exploitation as well.
    0:30:19 And so just in the last 10 years,
    0:30:23 everything now in mining is being sensors all over it.
    0:30:25 Data is being gathered in the mining process.
    0:30:27 Autonomous vehicles are coming into mining so on.
    0:30:30 And that’s why the team makeup I think is so interesting
    0:30:32 because you have data scientists,
    0:30:35 you have people who are truly experts in cobalt
    0:30:36 and they already know
    0:30:39 and have this gut feeling of where to look.
    0:30:41 And then you have people from oil and gas
    0:30:43 who can take that sophistication
    0:30:45 and kind of bring them up to date.
    0:30:46 Okay, so we’re entering a new era
    0:30:50 not just about sort of the importance of cobalt
    0:30:53 but also about new ways of mining as a whole,
    0:30:56 transforming a whole industry and a whole model
    0:30:59 of how we find and explore in the earth.
    0:31:03 So what changes as a result of that entire model
    0:31:04 shifting so dramatically?
    0:31:06 That’s a fantastic question.
    0:31:08 I think when you think about,
    0:31:10 when you think about like the metallurgic epochs, right?
    0:31:14 The sort of copper age, the bronze age, the iron age,
    0:31:18 the steel age, giving rise to the industrial revolution
    0:31:20 and then petroleum that’s we’re basically at,
    0:31:24 we’re still in a petroleum age from a material standpoint.
    0:31:26 I would say we’re entering the battery materials age.
    0:31:29 And so battery materials will be the sort of,
    0:31:32 the backbone of energy infrastructure
    0:31:33 in the next 100 years.
    0:31:36 And that requires a staggering amount of new material
    0:31:38 and different materials than we needed in the past.
    0:31:41 Cobalt being a salient one, but not the only one.
    0:31:44 I think that the tools that we’re developing specifically
    0:31:46 to develop, to look for cobalt
    0:31:47 actually have a lot of generality to them.
    0:31:50 And ultimately I think we’ll probably be looking
    0:31:53 for a lot of things other than cobalt
    0:31:58 to feed the need of the battery materials age broadly.
    0:32:00 So a new kind of exploration
    0:32:01 for a new age of new materials.
    0:32:03 When you create the Google Maps,
    0:32:04 you don’t just know where that stores,
    0:32:07 you know where everything else is too.
    0:32:09 And funnily enough, it’s different, but it’s the same.
    0:32:13 It’s still source to material, to technology,
    0:32:15 to people’s desire to change the world.
    0:32:16 And that’s the way it’s been
    0:32:18 when it was the sword 5,000 years ago
    0:32:21 to electric vehicle now, it’s that same process.
    0:32:24 But what we’re doing is gonna speed it up,
    0:32:27 make it more efficient, use the data more effectively.
    0:32:29 So we’re bringing all our tools that we have now
    0:32:32 to do the same thing as it was done 5,000 years ago.
    0:32:33 – That’s wonderful.
    0:32:35 Thank you so much for joining us on the A16Z podcast.
    0:32:36 – You’re welcome, thank you.

    with Kurt House (@kurtzhouse), John Thompson, Connie Chan (@conniechan) and Hanne Tidnam (@omnivorousread)

    The exploration for and mining of certain metals has driven huge epochs of human civilization, from copper and iron to gold and diamonds. In this conversation, Kurt House, CEO and co-founder of KoBold Metals; John Thompson, professor of earth and geosciences at Cornell and longtime advisor to the mining industry; and Connie Chan, general partner for consume, talk with Hanne Tidnam about why it is that cobalt is suddenly one of the most important metals on the planet.

    Because this metal makes today’s best batteries for phones, electric cars, and more, we have gone from little to enormous demand — with that demand expected to only increase. This conversation covers the way technology is transforming how we find cobalt, and the mining industry as a whole. Along the way we touch on the science behind why exactly it is that cobalt is so damn good in batteries; what we know about what makes cobalt as a metal ‘tick’, where it’s currently mined, and where it’s most likely to be found; what data and knowledge used to drive mining; and what the new data sources, technologies, and techniques are today, from geophysical/ geochemical data, to agricultural information, to old boxes collected over centuries in the basements and attics of mining cos…. all of this to satisfy the incredible spike of demand for this material, as we enter a new age of battery metals.

  • 16 Minutes on the News: Neuralink & Brain Interfaces, TikTok, FaceApp, iHeartRadio

    AI transcript
    0:00:02 – Hi, everyone, welcome to the A6NZ podcast.
    0:00:03 I’m Sonal.
    0:00:05 Sonal Choksi, our editor-in-chief,
    0:00:07 and I’m excited to share a new show from us today.
    0:00:10 16 Minutes, a short news podcast,
    0:00:12 where we cover recent headlines of the week,
    0:00:13 the A6NZ way.
    0:00:14 Why are they in the news?
    0:00:15 What’s hype?
    0:00:16 What’s real from our Vantage point?
    0:00:19 And what are our experts’ quick takes on the trends?
    0:00:21 Today’s episode is a little over 16 minutes,
    0:00:22 covering TikTok with General Partner
    0:00:24 for Consumer Connie Chan,
    0:00:26 FaceApp with Operating Partner for Security,
    0:00:28 and former CISO@Box, Joel de la Garza,
    0:00:29 iHeartRadios Direct Listing
    0:00:31 with Operating Partner Jamie McGurk.
    0:00:35 But we began with A6NZ Bio General Partner, VJ Pande,
    0:00:37 on the recent headlines around one of the companies
    0:00:40 co-founded by Elon Musk, Neuralink,
    0:00:43 and go over that news for the first half of this episode.
    0:00:45 – Elon Musk this week announced advances in BCIs,
    0:00:48 or brain computer interfaces, or neural interfaces,
    0:00:50 and it’s something that people have been talking about forever.
    0:00:52 And while they did acknowledge it’s a long road,
    0:00:54 he even hinted, and this is where it gets a little crazy,
    0:00:57 but sci-fi cool, he even hinted at the option
    0:00:59 of merging with AI in the future.
    0:01:01 What’s interesting is they announced a sewing machine,
    0:01:03 which is basically a robot that sews
    0:01:06 in delicate flexible electrodes called a neural lace,
    0:01:08 which by the way is not a marketing term
    0:01:09 that Elon Musk invented.
    0:01:12 It’s actually a term from the culture sci-fi series
    0:01:14 from Ian Banks, which was written
    0:01:16 from the late 80s to 2000s.
    0:01:18 The processor is an application-specific
    0:01:20 integrated circuit, and basically it monitors
    0:01:23 brain activity, decodes it, and ideally in the future,
    0:01:25 way future claim is that you could even potentially
    0:01:28 translate machines to not just read,
    0:01:30 but actually even write to the brain.
    0:01:32 But the paper they release, which you can download,
    0:01:34 it’s called an integrated brain machine interface platform
    0:01:36 with thousands of channels, was not peer reviewed,
    0:01:37 it’s a white paper.
    0:01:39 So I think we wanna figure out, Vijay,
    0:01:40 like what’s hype, what’s real here,
    0:01:43 especially given the trend of brain computer interfaces,
    0:01:45 like where are we really in this journey?
    0:01:46 – Well, you know, if you think
    0:01:47 about like what this technology can do,
    0:01:48 there’s different styles.
    0:01:50 Like so one style is to be non-invasive.
    0:01:52 That sounds appealing, ’cause you don’t have to like,
    0:01:54 literally go into your brain.
    0:01:56 But the reality is there’s just very little information
    0:01:58 you can get out if you’re non-invasive.
    0:01:59 Now, of the invasive categories,
    0:02:01 there’s one maybe slightly less invasive technique
    0:02:03 where actually they go through your femoral artery,
    0:02:05 which is the artery on your leg, near your femur,
    0:02:07 and it’s a well-known path to go from there
    0:02:09 all the way into your brain.
    0:02:11 And they insert through the femoral artery
    0:02:12 something that would go into your brain.
    0:02:14 So this is invasive, but you’re not drilling holes
    0:02:15 in your head.
    0:02:18 I don’t know how reliable you can depend
    0:02:19 on where it’s gonna stay there.
    0:02:21 What Neuralink’s doing is literally drilling
    0:02:26 multi-millimeter holes and then sewing wires
    0:02:27 directly into your brain.
    0:02:28 Like flexible electrodes.
    0:02:29 Flexible electrodes.
    0:02:32 And so this has the greatest chance for bandwidth
    0:02:34 and getting real information out and in.
    0:02:36 It’s almost like a direct connection.
    0:02:39 I think, you know, all of us have sort of a,
    0:02:41 ooh, the ouch kind of reaction to that.
    0:02:42 So they make analogy to Lasik,
    0:02:45 which if we were, let’s say, 50 years ago,
    0:02:46 and I told you that, hey, look,
    0:02:48 I’m gonna have these lasers
    0:02:49 and they’re gonna fix my eyes.
    0:02:52 And by cutting them and reshaping the eyeball
    0:02:54 on the lens, I’m gonna do that on the ball.
    0:02:55 I think everyone would think that’s insane.
    0:02:57 – That’s actually super interesting analogy.
    0:02:59 So Lasik, when it was new, it sounded very invasive,
    0:03:00 but now it’s like cookie cutter.
    0:03:02 – Now, I mean, it’s still, I don’t know
    0:03:03 if everyone like loves the idea of Lasik,
    0:03:05 but it’s pretty standard, you know?
    0:03:08 And so it sounds like there’s a huge adoption issue
    0:03:10 or concern, but really I think the question is,
    0:03:11 what can it do?
    0:03:12 – Okay, so where are we in the technology now
    0:03:14 for what it can do and where do you,
    0:03:16 given your vantage point in the bio world,
    0:03:19 think BCIs or brain computer interfaces are interesting.
    0:03:21 – Yeah, it’s interesting to think about where you can start
    0:03:22 because start with a population
    0:03:24 that really probably is in dire need.
    0:03:26 People that are paraplegic, quadriplegic,
    0:03:28 their lives are obviously very limited
    0:03:30 compared to what they were at birth.
    0:03:31 – In terms of movement.
    0:03:32 – In terms of movement.
    0:03:35 And really just in terms of access to the rest of the world,
    0:03:37 because their brains are just like ours,
    0:03:40 but they can’t move their limbs and it’s just really tragic.
    0:03:41 A natural place to start would be,
    0:03:42 and I think where they’re starting,
    0:03:44 is just in communication.
    0:03:45 And it’s not just typing,
    0:03:47 but it’s really being able to use a computer.
    0:03:49 And you think about what that means,
    0:03:51 that’s the difference between being in the modern world
    0:03:53 and being isolated from the modern world.
    0:03:55 That would be a huge game changer.
    0:03:57 – And is it only for paraplegics and quadriplegics
    0:03:58 or are there other like sort of
    0:04:00 neurological movement disorders where it could play?
    0:04:02 – I think in time, I think they’ll,
    0:04:05 would you shift from cases where it’s sort of a easy,
    0:04:08 it’s so hard to avoid puns like no brainer,
    0:04:10 easy, no brainer kind of a thing to where,
    0:04:14 okay, maybe it’s less obvious, but become more accepted.
    0:04:16 – Maybe, who knows, 20, 30, 100 years from now,
    0:04:18 we could get to the Lasik point.
    0:04:19 But let’s talk about the timing.
    0:04:21 The company’s been around for two years.
    0:04:23 Five years is roughly the FDA process
    0:04:25 for them to get to human trials with five patients,
    0:04:26 or so they claim.
    0:04:27 They said the road is long.
    0:04:29 So given the evolution of BCIs,
    0:04:31 and then as a topic that’s been around forever,
    0:04:33 where do you see, not prediction,
    0:04:36 but where are we in the evolution of this entire journey?
    0:04:39 – It’s clearly very early in this journey.
    0:04:41 What’s interesting though is that we’re actually talking
    0:04:45 about even if it’s just a trial, putting this in patients.
    0:04:47 – ‘Cause right now I think it’s only in rats implanted.
    0:04:48 – And in monkeys.
    0:04:50 – And that’s right, he claimed on stage,
    0:04:51 I think it surprised his president,
    0:04:52 who’s like, “What, are we talking about this now?”
    0:04:54 And he realized this, which is so funny
    0:04:55 and so typical musk.
    0:04:58 – And so to be in humans, that’s a pretty major job.
    0:05:00 – Is it, ’cause I was gonna say,
    0:05:02 don’t people argue that our DNA is very similar
    0:05:02 to that of monkeys?
    0:05:03 – Oh yeah, no, but I’m just thinking
    0:05:05 from a cultural point of view, not from a technology.
    0:05:07 The thing is that actually humans are probably easier
    0:05:09 than mice because mice brains are really little.
    0:05:11 So actually ironically, I think that part would be easier,
    0:05:12 but the reality is now you’re talking about people,
    0:05:14 and you don’t wanna mess around with people.
    0:05:16 – Okay, so the swimming social acceptance
    0:05:17 is a separate issue altogether.
    0:05:21 Technologically, and this is the heart of what you love
    0:05:22 when science becomes engineering.
    0:05:23 – Yes.
    0:05:25 – Where is the engineering reality of this?
    0:05:27 – Where the engineering comes in is that,
    0:05:29 I think much like, we’ve seen Moore’s Law
    0:05:31 and other things on the computer side,
    0:05:33 once you can make this interface,
    0:05:35 then the advances on the computer side
    0:05:36 get to translate over.
    0:05:39 So for instance, machine learning is a very, very natural way
    0:05:41 to take the signals out of our brain
    0:05:43 and then use that to interpret what you mean
    0:05:44 and what’s going on.
    0:05:45 And so as machine learning gets better and better
    0:05:48 and that’s sitting on Moore’s Law and other areas of compute,
    0:05:49 that will just come along for the ride.
    0:05:52 The other one is I suspect the sewing will get better and better
    0:05:54 and that you’ll have more and more electrodes in there
    0:05:56 and be able to sort of pinpoint other areas.
    0:05:58 And so year after year after year,
    0:06:01 if it only gets, let’s say 20% better every year,
    0:06:03 that’s a dramatic change over 10 years.
    0:06:04 – So bottom line it for me though,
    0:06:07 because getting that the social thing can happen,
    0:06:08 getting that engineering,
    0:06:11 it can be empowered by Moore’s Law,
    0:06:13 still not sure where it feels a little nutty
    0:06:16 that there’s literally electrodes floating around
    0:06:18 in our juicy, gooey brain.
    0:06:20 And that’s pretty much like a mess if you think about it,
    0:06:21 like reality of a hardware.
    0:06:23 – But you know, people have artificial hearts.
    0:06:24 – Oh, that’s a good point.
    0:06:26 – People who have Parkinson’s often have devices
    0:06:28 that are actually in their skulls
    0:06:30 that are put there to sort of mediate that.
    0:06:33 So there’s actually a lot of precedent for this.
    0:06:36 I think in all those cases, the alternatives are pretty dire.
    0:06:37 – I mean, right now,
    0:06:39 if they don’t have like transmitters right now,
    0:06:40 they actually get from their rats,
    0:06:42 I think they’d take it out by a USB-C sticks.
    0:06:44 So in this case, you probably for a while,
    0:06:45 I assume you’re gonna be wired tethered.
    0:06:47 But again, for this population,
    0:06:50 it’s better than they have limited mobility, unfortunately.
    0:06:51 – Right, they already have wheelchairs
    0:06:53 and devices that they’re tethered to already.
    0:06:54 Any final thoughts?
    0:06:57 – Yeah, you know, I think this is like a great example
    0:06:59 of something we talk about in the firm
    0:07:02 is sometimes really great ideas look like bad ideas.
    0:07:03 And what makes them great
    0:07:06 is that they’re just so inherently controversial
    0:07:08 and it’s so inherently paradigm shifting.
    0:07:10 And I don’t know what could be more controversial
    0:07:13 than paradigm shifting and drilling holes in your head
    0:07:15 to access the internet or something like that.
    0:07:17 Now, also bad ideas look like bad ideas.
    0:07:19 So time will tell and there are many other players.
    0:07:21 And that’s what partially makes this particularly exciting
    0:07:22 is that there’s gonna be, I think,
    0:07:24 in time, an ecosystem of alternatives.
    0:07:25 – By the way, DARPA tweeted,
    0:07:26 “They’re the ones who pioneered
    0:07:28 “the sewing machine technology with UCSF
    0:07:30 “and funded it as part of their thing.”
    0:07:32 So what Musk is doing is actually using that technology.
    0:07:34 But the funnier part is this paper.
    0:07:36 So I came out of academia, I’m an editor,
    0:07:38 I care a lot about bylines.
    0:07:39 I think it’s crazy that the author said,
    0:07:43 “Elon Musk and Neuralink, he didn’t list his authors.”
    0:07:45 Like, do you think that’s okay if you run a lab?
    0:07:48 – Yeah, I mean, I think especially if you wanna reach
    0:07:50 the academic audience, that’s not the way to do it.
    0:07:51 I don’t know if an average person cares
    0:07:53 about the individual authors in there,
    0:07:54 but if I were in the company,
    0:07:57 I’m sure I would love to sort of have my contributions.
    0:07:58 – Yes, exactly.
    0:07:59 Well, maybe when they do a peer-reviewed paper,
    0:08:01 this is how I justified it to myself.
    0:08:03 They might then do that paper with the actual authors,
    0:08:05 whereas this was like a marketing white paper.
    0:08:07 – You could also choose to interpret it
    0:08:07 in a more positive way,
    0:08:09 which is that he wants to really acknowledge
    0:08:10 the whole company.
    0:08:12 – Ah, it could be the other interpretation.
    0:08:14 – There’s generous and non-generous interpretations of this.
    0:08:15 – I like your glass half full view
    0:08:17 of the world of VJ Pande.
    0:08:18 Thanks for joining. – Yeah, thank you.
    0:08:19 – So the next item on our list,
    0:08:22 TikTok has actually been in the headlines plenty of times,
    0:08:24 but it’s the third most installed app worldwide
    0:08:27 since Q1 of this year behind WhatsApp and Facebook messengers.
    0:08:31 It has 1.2 billion MAUs, monthly active users or something
    0:08:32 in the last reading.
    0:08:34 So given that phenomenon is happening
    0:08:35 and it’s been happening for a while,
    0:08:38 the news this week was about them having
    0:08:40 a huge influence at VidCon,
    0:08:42 which builds itself as the world’s largest celebration
    0:08:43 of digital video and online creators.
    0:08:46 Basically a huge ask conference for a video.
    0:08:47 It’s sponsored by YouTube,
    0:08:49 but ironically it was not dominated by YouTube.
    0:08:52 It was actually dominated by TikTok stars,
    0:08:54 according to Taylor Lorenz, a writer at The Atlantic.
    0:08:55 This is actually the first time
    0:08:58 that TikTok had such a huge presence at VidCon,
    0:09:00 but on top of it, the other recent news
    0:09:03 is that there’s talk of banning it in India,
    0:09:06 which is its biggest overseas market.
    0:09:08 The question here, Connie, for you is,
    0:09:09 what is going on with TikTok?
    0:09:11 Tell us really quickly, what is TikTok?
    0:09:14 Frankly, the ability to do short 15 second videos
    0:09:15 is a very familiar model.
    0:09:17 Vine tried that, many people have tried that.
    0:09:19 – It’s a series of short video apps,
    0:09:21 but the difference between that and say like a YouTube
    0:09:24 is rather than search for anything, there’s no search bar.
    0:09:27 The app completely dictates what you see
    0:09:28 by using AI algorithms.
    0:09:30 – It’s purely AI driven.
    0:09:32 There’s no preference selection,
    0:09:34 except by what you choose to watch.
    0:09:35 – Yeah, I mean, if there’s a TikToker
    0:09:37 that you really love, you can follow them.
    0:09:39 But when you initially start,
    0:09:41 that whole entire feed is dictated by the platform.
    0:09:45 So it chooses things that are high quality or high impact,
    0:09:46 and it surfaces that.
    0:09:49 And that’s why it was such a big deal at VidCon,
    0:09:50 because you had all these people
    0:09:52 who had trouble becoming famous on YouTube,
    0:09:55 because YouTube’s been around for so long right now.
    0:09:58 It was so much easier to become an influencer 10 years ago
    0:09:59 than it is today.
    0:10:00 But on TikTok, it’s different,
    0:10:04 because you create one really hit piece,
    0:10:07 it can through AI be shown to a ton of people worldwide,
    0:10:09 because it’ll trigger the algorithm
    0:10:11 to share it with a lot of people.
    0:10:13 And that’s how you can gain followers really quickly.
    0:10:15 Whereas on YouTube, unless you’re searched
    0:10:16 or unless a friend shares it,
    0:10:18 it’s much harder to get surfaced.
    0:10:19 The article talked about how someone
    0:10:22 who tried to become famous on YouTube
    0:10:25 struggled for a really long time getting followers.
    0:10:27 But on TikTok was able to amass a following far greater
    0:10:29 and a much shorter period of time.
    0:10:31 – So this particular segment is focused
    0:10:34 on our friend Taylor’s piece in the Atlantic on this.
    0:10:36 She has an open-ended question at the end though,
    0:10:37 which I think is worth answering,
    0:10:39 which is how are they gonna make money?
    0:10:40 – The answer to me is really obvious,
    0:10:45 because TikTok is the English version of a Chinese app,
    0:10:46 same company, right?
    0:10:47 This is just the American– – All by Byte Dan.
    0:10:49 – English version, all by Byte Dan’s.
    0:10:51 And then the Chinese one is called Dohing.
    0:10:54 And it has a bunch more features and monetization methods
    0:10:56 that you just don’t see in the English version yet.
    0:10:59 And if you just imagine that stuff translating in America,
    0:11:01 which I think it perfectly can–
    0:11:04 – Yeah, yeah, I mean, a lot of it is around e-commerce.
    0:11:08 A lot of it is around becoming a super app actually even,
    0:11:11 allowing people to find restaurants or even book hotels.
    0:11:13 You have leaderboards of top brands.
    0:11:16 Basically commercials you can instantly buy, right?
    0:11:20 In the US we’ve talked about when is this interactive TV
    0:11:21 world ever gonna happen.
    0:11:22 I don’t think it’s gonna happen on the TV.
    0:11:23 It’s gonna happen on the mobile.
    0:11:25 And short videos are a great way to do it,
    0:11:27 because short videos are in essence commercials
    0:11:28 you wanna watch.
    0:11:29 They can become commercials you wanna watch.
    0:11:30 – That’s such an interesting idea.
    0:11:32 What’s fascinating to me, because in China
    0:11:35 you have a lot of these TikTok or Dohing short videos,
    0:11:39 and you can purchase directly there with like three taps.
    0:11:42 Right after the video loops twice, a little thing pops up.
    0:11:44 You can click in, you can buy it,
    0:11:46 and it gets delivered to you.
    0:11:48 I’m talking like buying physical things.
    0:11:50 Fruit is a huge category.
    0:11:51 – What?
    0:11:52 – I’m not kidding.
    0:11:54 Fruit, random gadgets, like for the fruit,
    0:11:57 the grower who’s growing oranges,
    0:11:59 he’s showing you his orange farm,
    0:12:00 or he’s squeezing the orange juice.
    0:12:02 So you see how juicy it is,
    0:12:04 and then you can just buy a box of oranges.
    0:12:05 – That’s a thing.
    0:12:06 Oh my God.
    0:12:06 – That’s a huge thing.
    0:12:07 – That’s fantastic.
    0:12:09 The fruit meme is way better than a 10X engineer meme,
    0:12:10 I gotta say.
    0:12:12 Well Connie, thank you for joining this segment.
    0:12:15 All right, so we’re doing the next segment on FaceApp,
    0:12:17 which is an app that is in the headlines this week.
    0:12:20 First of all, what it does, it basically morphs your face.
    0:12:22 So if you’re a woman, you can change your gender
    0:12:23 into a man, vice versa.
    0:12:25 It can show you how you age,
    0:12:26 like how you look when you’re old.
    0:12:28 And of course people are freaking sharing this,
    0:12:30 ’cause how interesting to share it.
    0:12:32 Now I personally am too vain to share something like that,
    0:12:33 so I would not even share that.
    0:12:36 The reason it’s in news is not because it’s going viral,
    0:12:37 ’cause that’s not news.
    0:12:40 The news is that there are claims of Russia
    0:12:43 collecting facial recognition data based on this.
    0:12:46 And it’s so concerning that a US senator
    0:12:49 wrote a letter to the FBI and FTC asking for investigation
    0:12:52 into its potential national security threat,
    0:12:54 and its risk to the privacy of Americans,
    0:12:55 given the fears of election hacking.
    0:12:57 The privacy policy basically says,
    0:12:59 you’re allowed to have a perpetual, irrevocable,
    0:13:01 non-exclusive, royalty-free, worldwide, fully paid,
    0:13:05 transferable, sub-licensible access to your photo,
    0:13:07 but that’s kind of what all apps already do.
    0:13:09 So what I really wanna talk to you about Joel,
    0:13:11 especially as a security expert,
    0:13:13 I wanna get your take on should people be worried,
    0:13:14 the people who downloaded this,
    0:13:16 or is this just app business as usual?
    0:13:18 – Well, I’m a strong believer in the fact
    0:13:20 that you should never waste a crisis, right?
    0:13:22 And so any opportunity we have to get privacy
    0:13:24 front of mind in people is really important
    0:13:26 because consumers just don’t really appreciate
    0:13:27 or understand privacy.
    0:13:30 That said, I think that you actually really,
    0:13:32 risk is a really funny thing,
    0:13:33 and it varies from person to person.
    0:13:35 And so does the average teenager
    0:13:36 need to care about this?
    0:13:37 Probably not.
    0:13:40 If you are a Democratic or Republican politician
    0:13:42 that is in the public space,
    0:13:44 it’s probably a bad idea that you give your access
    0:13:46 to your photos to anybody, right?
    0:13:47 – Why?
    0:13:48 I don’t understand the distinction there, to be honest.
    0:13:50 – Well, there may be photos in there
    0:13:52 as a high-profile individual
    0:13:54 that may make you susceptible to things like blackmail.
    0:13:56 When you’re a public official,
    0:13:58 when you’re working in the national security space,
    0:14:00 when they say something as a threat to national security,
    0:14:02 they don’t always mean that like,
    0:14:04 they’re gonna get the launch codes and take our weapons.
    0:14:07 They often mean that you’re gonna get some kind of information
    0:14:09 that you can use as leverage over a public official.
    0:14:12 And if you look at most of the national security investigations
    0:14:14 that happen in this country,
    0:14:15 they’re usually over someone trying
    0:14:17 to get negative information,
    0:14:20 or they’re over some form of kind of information leakage,
    0:14:21 right?
    0:14:23 – So that helps explain the national security side.
    0:14:25 I’m very patriotic, and of course,
    0:14:27 I’m worried about people hacking elections or other things.
    0:14:29 It did strike me as kind of xenophobic, actually,
    0:14:32 to just blandly accuse an entire country
    0:14:34 of anything that comes out of Russia and China
    0:14:35 and all these other countries is dangerous.
    0:14:37 Like, that just feels like a little bit of fear mongering.
    0:14:38 – I think the important thing
    0:14:39 that we should be talking about,
    0:14:41 rather than saying that Russia, China,
    0:14:42 and these countries are evil,
    0:14:45 that’s just kind of a ridiculous position to take, right?
    0:14:47 I think the real discussion we should be having
    0:14:50 is that every country conceives of privacy in a different way.
    0:14:51 – What’s the US is?
    0:14:53 – Well, in the US, generally,
    0:14:57 we’re in this weird place where convenience or features
    0:14:58 or user experience, right,
    0:15:01 will always trump privacy and security.
    0:15:02 So if I can provide you with a widget
    0:15:05 that gives you 15 minutes of joy,
    0:15:07 there’s some amount of private data
    0:15:08 that you’ll let me extract from you.
    0:15:11 And so I think the fundamental problem here
    0:15:15 is that US consumers generally undervalue their private data,
    0:15:17 whereas I would say German or European
    0:15:20 or people that have very strong data protection cultures
    0:15:21 have a much higher price on their data.
    0:15:23 But these apps are global.
    0:15:24 I was going to say these glass,
    0:15:27 ’cause it’s like global apps, these apps are global.
    0:15:29 And so is their infrastructure.
    0:15:30 Like in the case of FaceApp,
    0:15:33 specifically the servers are in the US,
    0:15:35 or so they claim in their response to the concerns.
    0:15:38 They also claim that images are deleted within 48 hours
    0:15:39 from the upload date.
    0:15:42 So I guess my question for you is,
    0:15:44 as a user in a practical way,
    0:15:46 how should someone who’s not a politician
    0:15:47 with a high profile,
    0:15:49 how should someone really think about
    0:15:50 whether they should trust these apps or not?
    0:15:53 I mean, there’s the no brainer kind of answer
    0:15:54 to that question, which is that if you have stuff,
    0:15:55 you don’t want other people to see,
    0:15:57 don’t give them access to apps
    0:16:00 that let them get access to that information.
    0:16:03 And so generally, I think, be conscious and cognizant
    0:16:05 of the fact that these apps are taking information,
    0:16:06 they may be taking information
    0:16:08 that you’re not fully aware of.
    0:16:10 The way that these companies present their terms of service
    0:16:12 is really designed so that they get people
    0:16:14 to kind of buy in and accept that transfer.
    0:16:15 – Quite frankly, I don’t know anybody
    0:16:17 who really fucking reads them.
    0:16:18 I just accept.
    0:16:20 I’ve never read a policy.
    0:16:21 – I must shamefully admit
    0:16:22 that I am one of those people that does.
    0:16:24 I’m also gonna be home alone on Friday,
    0:16:28 but the fact of the matter is that this language
    0:16:30 and this legalese is just done to confuse consumers.
    0:16:33 And so exercise some level of practical caution.
    0:16:36 Understand that access to your private information
    0:16:37 is actually really important.
    0:16:39 And as we move into this new world
    0:16:40 and you look at these new apps,
    0:16:43 these are essentially becoming massive data collection efforts.
    0:16:44 – And just wait till we add Neuralink
    0:16:47 and BCIs into this whole equation.
    0:16:48 Well, thank you for joining, Joel.
    0:16:52 So let’s do the last segment of the news on direct listings.
    0:16:54 Our next agency expert is Jamie McGurk,
    0:16:57 who runs our corporate development function
    0:16:59 and is a former investment banker.
    0:17:02 We recently put out a post all about direct listings,
    0:17:04 which explains what they are, how they work,
    0:17:06 and especially given this new trend of companies
    0:17:09 like Spotify and Slack having done them.
    0:17:12 So the news here, though, is that iHeartRadio,
    0:17:15 which this shocked me because first of all,
    0:17:17 I’m into podcasting and they’re an audio company
    0:17:19 and they’ve been around for a while
    0:17:20 and they just announced a direct listing
    0:17:21 and that shocked the hell out of me.
    0:17:23 So like that’s the news, like what’s going on?
    0:17:25 – No news, actually.
    0:17:26 – Okay, you’re telling me
    0:17:28 we shouldn’t bother recording this episode now?
    0:17:30 – So I guess what people don’t realize is
    0:17:32 this product has been around for a long time.
    0:17:34 There were two primary use cases previously
    0:17:36 for doing a direct listing.
    0:17:38 One was companies emerging from bankruptcy
    0:17:40 and the other was companies being spun off
    0:17:41 of larger companies.
    0:17:41 – Ah, interesting.
    0:17:44 – And so iHeartRadio falls into the former category
    0:17:45 emerging from bankruptcy.
    0:17:48 So the direct listing product has been
    0:17:51 more or less repurposed by Spotify and Slack
    0:17:55 in recent history as an alternative to the IPO.
    0:17:57 They don’t suffer the dilution of a traditional IPO
    0:17:59 and there’s no lockup period.
    0:18:01 So traditionally you would have a 180 day lockup period
    0:18:03 in a traditional IPO and that goes away.
    0:18:08 So there’s strong momentum for a new way of going public.
    0:18:09 – I mean, basically the point of direct listing
    0:18:11 is that the company’s not raising capital.
    0:18:12 – They’re not raising capital
    0:18:14 and they’re not doing so at an artificially low valuation
    0:18:16 that exacerbates the dilution
    0:18:18 that they would otherwise get from fundraising.
    0:18:21 – Right, but just in the big picture why this matters,
    0:18:22 why do you think it’s gonna be such a big trend
    0:18:24 in terms of the importance of it?
    0:18:26 – In our blog post we talked about several different features
    0:18:27 of the direct listing
    0:18:30 and why we think that it’ll be more popular.
    0:18:31 You know, I think the short soundbite
    0:18:34 is that there’s a lot of things broken
    0:18:36 about the legacy IPO process.
    0:18:38 Who really benefits?
    0:18:39 Is it in the company’s best interest to raise capital
    0:18:41 or to go public in this way?
    0:18:42 – Yeah, by the way, a lot of those are structural things
    0:18:44 that are due to lack of technology
    0:18:47 and transparent information and just time and old policies.
    0:18:49 – Doing things the way that things have always been done.
    0:18:51 So it’s more of an inertia argument
    0:18:54 as to maybe why the legacy IPO has persisted
    0:18:56 as long as it has.
    0:18:57 You know, it works at raising capital
    0:18:59 and it works as entering the public markets.
    0:19:01 It just so happens there is a better way.
    0:19:02 That’s the trend that we see.
    0:19:03 That’s what you and I wrote about.
    0:19:05 – So to bring it back to iHeartRadio,
    0:19:07 then why this is different Spotify and Slack
    0:19:09 versus the iHeartRadios of the world?
    0:19:11 – So I think iHeartRadio got a lot of attention
    0:19:14 because it fell in close time proximity to Slack.
    0:19:15 It also has a business model
    0:19:17 that is very similar to Spotify.
    0:19:19 I think they drafted off the PR headlines of those two
    0:19:20 about the direct listing,
    0:19:23 but the emerging from bankruptcy use case
    0:19:24 is a well-worn path.
    0:19:26 It just so happens that they had similarities
    0:19:28 to two of the recent more, you know,
    0:19:30 the newer use case direct listing.
    0:19:31 – Thank you, Jamie, for that.
    0:19:33 And just to be clear to everyone listening,
    0:19:34 please note that the content here
    0:19:36 is for informational purposes only,
    0:19:38 should not be taken as legal business tax
    0:19:39 or investment advice
    0:19:41 or be used to evaluate any investment or security,
    0:19:43 including the ones that we mentioned.
    0:19:44 It’s not directed at any investors
    0:19:47 or potential investors in any A6 and Z fund.
    0:19:49 And honestly, any investments or portfolio companies
    0:19:52 mentioned, referred to or described in this episode
    0:19:54 are not representative of all A6 and Z investments.
    0:19:56 And so there can be no assurance
    0:19:58 that the investments will be profitable
    0:19:59 or that other investments made in the future
    0:20:01 will have similar characteristics or results.
    0:20:03 You can find a full list of investments
    0:20:05 at asixandz.com/investments
    0:20:07 and more details on our disclosures
    0:20:08 at asixandz.com/disclosures.
    0:20:12 And thank you everyone for joining our news segment today.

    with @vijaypande @conniechan @jpm25 and @smc90

    Introducing our new podcast, 16 Minutes, a short news podcast where we cover the top headlines of the week, the a16z podcast way — why are these topics in the news; what’s real, what’s hype from our vantage point; and what are our experts’ quick takes on these trends?

    This is the first episode of the show, and this week we cover the below topics with the following experts:

    • Neuralink’s recent news/ event/ whitepaper and the trend of brain-computer interfaces — with a16z bio general partner Vijay Pande
    • TikTok video influencers and AI-driven media and commerce — with general partner, consumer, Connie Chan
    • FaceApp and privacy beyond national security — with operating partner, security, Joel de la Garza
    • iHeart Radio and direct listings — with operating partner, corporate development, Jamie McGurk

    …hosted by Sonal Chokshi.


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

     This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments for which the issuer has not provided permission for a16z to disclose publicly as well as unannounced investments in publicly traded digital assets) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • a16z Podcast: How To Get The Most From Your Board

    AI transcript
    0:00:05 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice or be used to evaluate any investment or security and is not directed
    0:00:14 at any investors or potential investors in any A16Z fund.
    0:00:19 For more details, please see A16Z.com/disclosures.
    0:00:20 I’m Frank Chen.
    0:00:26 Today I’m here with Scott Cooper and we are now in part three of three of our de-mystifying
    0:00:28 Silicon Valley.
    0:00:31 This part is all about living with your investor.
    0:00:35 As Scott will point out, the average length of time that you will work with a venture
    0:00:42 investor, 8, 10, 12 years, is longer than the average marriage, terrifying statistic.
    0:00:46 And so you want to make sure that you understand how to work and pick with an investor that
    0:00:49 you can live with over a long period of time.
    0:00:53 And so we’re going to talk about ways that you can think about getting the most out of
    0:00:59 your venture investor and board member and how to handle situations from the bad situations
    0:01:04 where you have to wind down the company to the awesome situations where we hope you find
    0:01:07 yourself, which is you’re doing an IPO for your company.
    0:01:09 So let’s dig right into it.
    0:01:13 Let’s talk a little bit about, fundamentally, what do I want from my investor?
    0:01:16 And usually they’ll live basically as my board member.
    0:01:17 Yeah.
    0:01:18 Right?
    0:01:19 Like what are the big things I’m looking for?
    0:01:20 Yeah.
    0:01:21 So look, I think, you know, certainly you want a board member and all the things that a board
    0:01:25 member entails, which is hopefully they are a good coach, a good mentor, a good sounding
    0:01:29 board for you, hopefully they’re good stewards of corporate governance and help you kind of
    0:01:31 think through important strategic decisions for the company.
    0:01:35 But then I think more importantly, you know, and this extends beyond often just the general
    0:01:40 partner who’s sitting on your board, you want some value from them that allows you to help
    0:01:41 you accelerate the growth of the business.
    0:01:46 I mean, ultimately, you and the venture capitalists are along for the same ride, which is you’re
    0:01:51 both trying to achieve an outcome that yields a very important, longstanding, hopefully independent
    0:01:52 and publicly traded company.
    0:01:57 And so, you know, whatever the venture capitalists can do to help you with that, whether it’s
    0:02:01 making customer introductions or helping you understand, you know, how and when to add
    0:02:06 a CFO or a head of sales or, you know, how best to kind of navigate, you know, the PR
    0:02:09 and marketing world and who are the right press relationships to have.
    0:02:13 All those things are, I think, fair game where, you know, kind of good VCs find ways in which
    0:02:17 they can be valuable to entrepreneurs in that regard.
    0:02:22 So one of the jobs of the board is that they can fire me as the CEO.
    0:02:23 Yes.
    0:02:24 Okay.
    0:02:26 So now I’ve got this weird incentive, which is on the one hand, I want that partnership.
    0:02:27 Yeah.
    0:02:28 I want to get great advice.
    0:02:32 And on the other hand, like if I share too much or like I, you know, too open about my
    0:02:35 vulnerabilities or my shortcomings, like I could get fired.
    0:02:38 And so how should I think about transparency, trust?
    0:02:39 Exactly right.
    0:02:42 It’s a little bit like the relationship, you know, probably your youngest has with you
    0:02:43 as a parent, right?
    0:02:44 Which is okay.
    0:02:45 I want to be truthful.
    0:02:46 Right.
    0:02:48 I want to tell them what I’ve wrong, but I know there’s consequences for doing that, right?
    0:02:53 So yeah, look, I think, so you’re absolutely right, which is, look, the fundamental power
    0:02:55 the board does, of course, is to be able to hire a private CEO.
    0:02:58 Now we talked about this in a different session.
    0:03:02 It’s also changing these days, which is often the boards are not controlled by the venture
    0:03:06 capitalist, but controlled by the CEO and, you know, kind of, you know, other common shareholders,
    0:03:09 in which case the board really can’t, you know, the venture capitalist can’t, you don’t
    0:03:10 really do anything.
    0:03:14 They would have to actually really generate consensus with a much broader set of folks.
    0:03:19 So I think some of those risks of kind of, you know, a VC being, you know, kind of random
    0:03:23 or, you know, kind of, you know, not thinking through these things and, you know, and doing
    0:03:26 that is much, that risk is much lessened today.
    0:03:27 Technically they can’t out-vote me.
    0:03:28 That’s exactly right.
    0:03:29 Right.
    0:03:31 They would have to kind of, you know, co-opt other members of your kind of, you know, constituents
    0:03:33 to do so.
    0:03:37 But that notwithstanding, I think even in the scenario where that’s not the case, I think
    0:03:38 you’re right.
    0:03:42 In some cases, look, you have to, you still have to build a relationship, though, where,
    0:03:46 you know, you are willing to share enough information to, you know, to kind of, you know, get their
    0:03:48 advice and get their help.
    0:03:52 Yeah, in some cases, maybe that means you’re vulnerable, but I think in most cases, I think
    0:03:56 most VCs would say, hey, look, if there’s, if you can tell us stuff and we can help you
    0:04:00 fix it and help you address it, then, you know, there’s no reason, it doesn’t necessarily
    0:04:03 mean that every time you do something wrong, you know, you get punished and you basically
    0:04:04 find yourself out of a job.
    0:04:06 So I think most people are pretty rational about this, but you’re right.
    0:04:12 There is this kind of strange dichotomy of kind of, you know, having somebody who’s also
    0:04:17 your boss essentially be your consigliary as well.
    0:04:23 And then sort of as I build the company, I’m going to basically grow the board from, you
    0:04:24 know, people who invest in money, right?
    0:04:27 So I have a Series A investor who takes a board seat, then the B investor takes a board
    0:04:28 seat.
    0:04:32 So now I’ve got like a whole cat herding exercise to go through.
    0:04:37 And there are situations in which the economic interest of my investors, A’s and B’s and
    0:04:38 C’s, can diverge.
    0:04:39 Absolutely.
    0:04:42 Like I might get into a situation where somebody’s heading into a fundraise.
    0:04:43 They need a liquidity event.
    0:04:44 Yeah, yeah, yeah.
    0:04:48 They need to put up some dollars and so like now they’re pressuring me to sell the company.
    0:04:49 Yeah, yeah, yeah.
    0:04:50 Right?
    0:04:53 Whereas the A and B investors might be like, no, no, no, we’re like, let’s go for a bigger
    0:04:54 outcome.
    0:04:55 Yeah.
    0:04:56 So how do I manage these situations?
    0:04:59 Those are tough issues in managing, I think, again, as a CEO, it’s really important for
    0:05:02 you to kind of understand exactly what those incentives are.
    0:05:06 And you mentioned it, hey, maybe I, as the VC, need to go fundraise a new fund and so
    0:05:10 I need to show my LPs that I’m smart and I’m making some money and we get an acquisition
    0:05:11 offer for your company.
    0:05:14 And for me, it’s a good outcome, but maybe it’s not a good outcome for you and others.
    0:05:20 Now the good news is, as a board member, you are a fiduciary to those shareholders.
    0:05:24 And so you do have legal constraints on your ability to be completely self-serving.
    0:05:26 But still, even within that, you have to think about it.
    0:05:31 And so this is, you know, oftentimes you’ll see, you may have heard of this term called
    0:05:35 a waterfall analysis, which is oftentimes it’s a mechanism by which often the lawyers
    0:05:39 will do it for you for the company and they’ll say, hey, look, if you sell the company at
    0:05:42 this price, here’s what the A people will get, here’s what the B people get, here’s what
    0:05:44 you and your employees get.
    0:05:48 And it’s good in those situations to look at that because that will help you understand
    0:05:51 if you do have this kind of divergence of interest among folks.
    0:05:55 You know, again, I think, as with all things, look, the best thing you can do is hopefully
    0:05:58 you’ve stacked your board with good people who are rational and who respect things like
    0:06:00 fiduciary duties.
    0:06:03 And you can have a meaningful conversation around that.
    0:06:04 Yeah.
    0:06:08 In theory, the board is supposed to be exercising duty of care.
    0:06:15 In theory, they’re not supposed to put their own interests ahead of all of the, but there
    0:06:19 are situations where you will get this sort of self-serving behavior.
    0:06:25 Yeah, well, you kind of find this weird situation and is often times when company, we talked
    0:06:29 about liquidation preference in one of our prior sessions, where a company is getting
    0:06:31 sold for at or around the liquidation preference.
    0:06:34 This is where you tend to kind of get these issues that come up, right?
    0:06:39 Because the VCs are, you know, if they’ve got $30 million of liquidation preference,
    0:06:44 they’re probably indifferent between a $30 million sale and a $35 million sale and a
    0:06:46 $40 million sale because, you know, I’m just making up these numbers.
    0:06:49 But let’s assume in those cases, they’re still going to get the same amount of their
    0:06:53 liquidation preference because the price isn’t high enough to actually cause them to convert
    0:06:55 and take their normal equity ownership.
    0:06:57 And so you do get these weird scenarios.
    0:07:01 Now, again, as I said, the good news is most of the time, you know, people still act rationally.
    0:07:05 There are a couple cases, though, that we’ve seen where the courts have kind of said, “Hey,
    0:07:08 we don’t like the behavior we’re seeing from the VCs because you kind of didn’t take
    0:07:12 care of the common shareholders, which is really your main job here.”
    0:07:18 And so, you know, I don’t want to put everybody to sleep on this webcast here, but, you know,
    0:07:21 there’s a whole chapter on this in the book which kind of helps you understand how we
    0:07:22 got there.
    0:07:24 And then, importantly, what are the kinds of things that you can do to make sure that
    0:07:27 you don’t run afoul of those problems?
    0:07:31 So the take home message for me as the startup CEO is like, “I need to understand all of
    0:07:37 the incentives and the timeframes of the people who are on my board so I can try to understand
    0:07:38 why are you saying what you’re saying?”
    0:07:39 That’s exactly right.
    0:07:41 Yeah, and look, it goes, again, you know, it goes back to, you know, where we started
    0:07:42 the conversation.
    0:07:46 Our first session when we started talking was, you know, incentives drive behavior for
    0:07:47 better or worse.
    0:07:48 Right?
    0:07:52 You know, you know, we, again, you and I spent time in the enterprise world where, look,
    0:07:55 if you want to change the way you sell your product, the best thing to do is change the
    0:07:57 quota structure for your sales reps, right?
    0:08:00 And that’s not, you know, a denigrating statement.
    0:08:03 It’s just the way that, look, incentives may have a matter and people respond to incentives.
    0:08:06 And just like that, you know, venture capitalists are people, too.
    0:08:09 And so, they respond to the incentive structure they have, and the more you understand that,
    0:08:14 the more I think you can finally cut through and actually have a rational dialogue.
    0:08:15 Great.
    0:08:19 Now, I want to do some sort of play acting with you on three scenarios.
    0:08:23 So scenario one is things aren’t going well, we’re going to have to do something tough
    0:08:27 like raise a down round or a bridge, and then a scenario where, hey, yeah, we’re getting
    0:08:30 acquired and, you know, we’re going to clear the liquidation preferences.
    0:08:31 It’s going to be happy.
    0:08:32 Yeah.
    0:08:34 And then the super happy scenario where we’re going public.
    0:08:35 All right.
    0:08:36 So let’s, advice for each one of those.
    0:08:37 All right.
    0:08:38 Tough times.
    0:08:39 Yeah.
    0:08:40 It’s not going the way I expect.
    0:08:41 I have to raise a bridge.
    0:08:42 Yeah.
    0:08:43 Maybe I have to raise a down round.
    0:08:44 How should I think about this?
    0:08:45 Yeah.
    0:08:46 This is hard.
    0:08:49 I talk about this in the book a lot, but I’d say the most important thing I think to think
    0:08:52 about here is, and this is where I do think having good relationship with your VC is critically
    0:08:55 important, is having a real open, honest discussion, right?
    0:08:59 So sometimes, unfortunately, despite your best efforts and, you know, despite our best
    0:09:03 efforts, hopefully to be supportive of you, maybe the market’s just not there or the product’s
    0:09:07 not taking, you know, for whatever reason, you know, look, you gave it 110% and it’s
    0:09:08 just not there.
    0:09:13 And, you know, it’s interesting when I’ve had those conversations with entrepreneurs,
    0:09:16 I was kind of, I was, you know, dreading going into that conversation because I was worried
    0:09:18 that, you know, it was going to be a contentious discussion.
    0:09:21 And more times than not, they actually come out and they say, you know what, I’m kind
    0:09:25 of relieved because I was thinking the same thing you were, which is I was doing this
    0:09:31 because I thought my job to you as the VC was to just run through walls no matter what.
    0:09:34 And honestly, I don’t know that spending another three, four years doing this is likely to yield
    0:09:35 a better outcome.
    0:09:38 It doesn’t always happen that way, but more often than not, I’d say that happens.
    0:09:42 And so I think in those cases, look, it’s perfectly respectable to say, hey, look, we
    0:09:44 all gave it our best and it didn’t work.
    0:09:47 And the right thing to do is let’s wind it down in a reasonable fashion so that we can
    0:09:51 hopefully, you know, take care of our employees and take care of our vendors and do all the
    0:09:53 things we can.
    0:09:57 If you still feel like, you know, the alternative is true, which is, hey, yes, maybe we got
    0:10:01 the product wrong or maybe the market’s developed more slowly, but you know what, like, I’m committed
    0:10:05 as an entrepreneur and I really believe this market is still here in the survival business.
    0:10:08 Then, you know, kind of, I talked about this in the book, but things like what you call
    0:10:11 like a recapitalization, which is kind of almost a reset, right?
    0:10:14 Which is we say, hey, look, we raised a bunch of money, we spent it, it didn’t yield what
    0:10:18 we want, but we’re all still believing this thing and I want to go spend the next 10 years
    0:10:20 of my life trying to do this.
    0:10:22 Then let’s set the company up for success, right?
    0:10:26 And it’s unpleasant, the word recap is obviously has such a negative connotation, but in that
    0:10:30 respect, it’s actually a positive thing, which is we’re going to figure out, okay, how do
    0:10:34 we kind of make the company attractive for potentially new investors to come back in
    0:10:38 by cleaning up some of these things like liquidation preference we’ve talked about, resetting the
    0:10:42 price to a point that actually reflects the progress of the business.
    0:10:44 But importantly, and this is where I think entrepreneurs need to make sure they’re aligned
    0:10:49 with their VCs, for you as an entrepreneur and your employees to also make sure that
    0:10:50 you get reset as well, right?
    0:10:55 So there’s no sense in any of us putting more money in the company if it turns out all of
    0:10:59 your stock options are underwater and you’ve got no financial incentive and then tomorrow
    0:11:01 everybody’s going to walk away from the business, right?
    0:11:04 So this requires kind of give and take on both sides, which is, you know, the VCs will
    0:11:07 give up a lot of the rights that they otherwise had.
    0:11:11 But importantly, the give that the VCs, you know, need to do to make this successful is
    0:11:15 to kind of re-insent the team as well and make sure that you all are, you know, shooting
    0:11:18 for the same ultimate outcome.
    0:11:21 So there’s a lot of emotional freedom, just sort of listening to you talk, right?
    0:11:26 Because even if we have to wind it down, we can have the conversation and then realizing
    0:11:29 that like half your portfolio is going to go belly up anyway, right?
    0:11:32 I don’t have to feel like, oh my god, I’m like the world’s biggest failure, right?
    0:11:34 Which is like you’re kind of expecting this.
    0:11:35 I think that’s right.
    0:11:36 Yeah.
    0:11:39 But it’s, you know, it’s more, obviously look, it’s more emotional and more personal
    0:11:41 for you as the entrepreneur, of course, right?
    0:11:45 Because you’ve, you know, this has been your life’s dream.
    0:11:46 But you’re right.
    0:11:47 So you shouldn’t feel sorry for the VCs, right?
    0:11:51 And I certainly never, would never suggest that you should feel sorry for the VCs because
    0:11:52 you’re right.
    0:11:54 We expect that that kind of risk is what’s inherent to the business.
    0:11:57 The more important question is really, do you still believe in the market?
    0:12:01 Do you still want to pursue this or also do you feel like, hey, it was a good idea, but
    0:12:05 just for a variety of reasons, didn’t materialize in the way we thought and the more rational
    0:12:07 thing to do is go do something else?
    0:12:08 Got it.
    0:12:09 Great.
    0:12:10 Let’s move on to scenario two.
    0:12:11 Right.
    0:12:14 So we’re getting an acquired and an attractive price, yay, it’s not quite an IPO, but it’s
    0:12:15 not a wind-down.
    0:12:16 Yeah.
    0:12:17 It’s not a recap.
    0:12:21 So what are things that are important to think about as we’re going through this process?
    0:12:24 So maybe let’s start with sort of how, you know, how are we getting value?
    0:12:27 Is it cash or private stock or public stock?
    0:12:28 Yeah.
    0:12:29 Yeah.
    0:12:30 So there’s lots of things to think about, right?
    0:12:32 One is you’re right, which is look, what’s the economic interest we’re getting here?
    0:12:36 And, you know, sometimes, as you said, that could be you might be getting paid in cash,
    0:12:38 sometimes you might get stock of the other acquirer.
    0:12:42 And so depending on the scenario, right, you may want to do some homework if you’re getting
    0:12:45 stock to understand what do I think about that stock, what do I think about the prospects
    0:12:49 of that company, because your economic future is now going to be tied to the success of
    0:12:51 that business as well.
    0:12:54 I think the most important thing, though, to think about, obviously price is important,
    0:12:56 so I don’t want to belittle that.
    0:13:01 But the next most important thing to think about is what is the go-forward business going
    0:13:02 to look like, right?
    0:13:05 Are you being acquired because they really love your product and love your vision and
    0:13:09 now you’re going to go be the general manager of some new unit in the company and have the
    0:13:13 ability to affect the vision that you had hoped you would affect as a standalone company,
    0:13:17 but now inside of a bigger, you know, better resource, better capitalized company?
    0:13:18 That’s wonderful.
    0:13:21 Obviously if you’re signed up to do that and your employees are signed up for that, or
    0:13:25 are they saying, hey, you know what, we really like those engineers, but all these sales guys,
    0:13:27 all these product guys, you know, we don’t need them.
    0:13:31 And so like we’re going to, you know, incent the engineers to stick around, but quite frankly,
    0:13:34 we want you to lay off everybody else before you kind of, you know, come over.
    0:13:37 So those are, I think those are the most important things, which is kind of, you know, what is
    0:13:38 going to happen to the employees?
    0:13:40 What does the go-forward business look like?
    0:13:44 And you know, again, I know we all get excited and we like to talk about the price because
    0:13:48 of course it’s a lot more fun and sexy to talk about money, but it’s, I think, I think,
    0:13:52 you know, managers and CEOs make their reputations quite frankly in these types of situations
    0:13:55 where, you know, they are thinking first and foremost about kind of the prospects for their
    0:14:01 employees and their team members, you know, kind of, you know, not secondary to the actual,
    0:14:02 you know, value of the company, right?
    0:14:03 So who’s getting a job?
    0:14:04 Who’s not getting a job?
    0:14:05 That’s right.
    0:14:07 What are the terms of the stock options?
    0:14:08 That’s exactly right.
    0:14:10 What’s the financial incentive look like, right?
    0:14:12 Are they going to give you new stock options in the new company or are they just going
    0:14:15 to take the ones you had and move them over?
    0:14:18 Sometimes people do what are called retention bonuses, right, where they say, hey, you know
    0:14:22 what, like, for the first two or three years of the deal on each of the one-year anniversaries
    0:14:25 of the deal, if you’re still here, we’re going to give you maybe a cash bonus or we’re going
    0:14:27 to give you a stock bonus.
    0:14:30 So all those things that kind of allow you to kind of get a better sense of what is that
    0:14:34 go-forward structure going to look like and is that something that you as a CEO believe
    0:14:39 you can sell to your employees to say, hey, look, you know, we gave it a shot, we did well,
    0:14:42 and now here’s an opportunity for you to both enjoy financial reward as well as feel like
    0:14:47 you’re enjoying the reward of being in a bigger company and having access to more resources.
    0:14:52 I hear that sometimes in these cases and also with the recaps or the down rounds, there
    0:14:54 are these things called management carve-outs.
    0:14:55 Yes.
    0:14:56 What are they?
    0:14:57 Yes.
    0:14:58 Should I be looking for one?
    0:14:59 Is that a good thing, a bad thing?
    0:15:01 Yeah, sometimes you’ll see, yeah, management carve-out, management buyout, MBO sometimes
    0:15:02 is what they’re called.
    0:15:07 Yeah, so the basic idea is typically sometimes what happens is, and it goes back a little
    0:15:10 bit to this liquidation preference discussion we’re having, is the company might be doing
    0:15:15 well, but there may be so much money invested in the company that even in a nice acquisition,
    0:15:19 a lot of that money ends up going towards people like me, the VCs, as opposed to you
    0:15:22 and the people who are going to actually go have to run this business now.
    0:15:26 And so oftentimes what the VCs will do is say, “Hey look, we want to incent you to kind
    0:15:30 of be motivated to try to find a buyer for this business if we all agree that that’s
    0:15:32 the right outcome for the company.”
    0:15:35 And so essentially the VCs will say, “Look, let’s carve out some of the money that might
    0:15:40 have otherwise gone to the VCs or in some cases other common shareholders and make a
    0:15:44 pool that effectively becomes a bonus pool for the executives and/or the people who are
    0:15:46 responsible for the acquisition.”
    0:15:49 And that’s a perfectly fair and reasonable thing to do.
    0:15:52 We do it, you know, in many cases in that scenario.
    0:15:56 And then in addition, on top of that, sometimes the acquire themselves will also put an additional
    0:16:01 incentive pool in place and say, “Okay, as we talked about post the acquisition, maybe
    0:16:05 on the first and second and third year anniversaries or something, we will also contribute to a
    0:16:08 pool that will inset longer term retention for people.”
    0:16:09 Got it.
    0:16:16 So the management carve out pre the transaction is about, “Look, this is the way the waterfall
    0:16:17 would have worked.”
    0:16:18 That’s right.
    0:16:20 And that’s the portion of it and basically giving it a choice.
    0:16:21 That’s exactly right.
    0:16:22 Yeah.
    0:16:23 So think of the just time periods, right?
    0:16:26 Which is kind of, you know, let’s reallocate some of the dollars to the existing shareholders,
    0:16:29 you know, and then post and post, you know, acquisition as we talked about.
    0:16:33 It’s just an incentive structure to kind of create a long-term, it’s like new options.
    0:16:34 That’s exactly right.
    0:16:35 Yeah.
    0:16:36 Got it.
    0:16:37 Good.
    0:16:38 Well, let’s talk about the happy scenario.
    0:16:39 We’re going public.
    0:16:40 All right.
    0:16:41 We don’t want to end on a depressing note.
    0:16:42 Yeah, of course.
    0:16:43 Exactly.
    0:16:44 Here we go.
    0:16:45 This is what Silicon Valley does, is create IPOs.
    0:16:53 So maybe talk a little bit about picking an investment bank and what are some of the incentives
    0:16:54 they have.
    0:16:55 Yeah.
    0:16:56 And they bring the bear.
    0:16:58 And are they always aligned with my existing investors or can they be?
    0:16:59 Yeah.
    0:17:00 Yeah.
    0:17:01 Sort of differently.
    0:17:02 Yeah.
    0:17:04 The investment banks, you know, you’ve heard of these names, Goldman Sachs, JP Morgan, Morgan
    0:17:05 Stanley.
    0:17:08 You know, their main job is to kind of, you know, help you prepare for the IPO and make
    0:17:10 sure all the documentation of things ready.
    0:17:13 And then to basically kind of shepherd you through the process by introducing you to
    0:17:17 all the relevant institutional investors who will hopefully go on to kind of, you know,
    0:17:19 be the long-term shareholders for your business.
    0:17:21 And so, you know, they do that.
    0:17:22 They’re professionals.
    0:17:23 They do this all the time.
    0:17:25 So, you know, you certainly generally don’t go through that process without an investment
    0:17:26 banker.
    0:17:31 Where the conflicts potentially come up is, you know, they’ve got kind of two clients,
    0:17:36 right, which is you’re their client for this transaction, but, you know, a firm like Fidelity
    0:17:42 or T-Row Price or BlackRock, who is a institutional investor who buys, shares all the time in lots
    0:17:47 of IPOs and also trades, shares through the desks that the firms have.
    0:17:48 They’re also a client of the bank, right?
    0:17:49 And so, there’s this tension.
    0:17:54 You see this in the pricing for when IPOs are priced, where your incentive as the entrepreneur
    0:17:58 is I want the price to be as high as possible because that means I raise more money for
    0:18:01 less dilution, right?
    0:18:04 But I don’t want to be too high where obviously the stock trades, you know, kind of poorly
    0:18:05 the next day.
    0:18:08 And, you know, the financial investor has the opposite incentive, of course, which is
    0:18:12 I’d like to buy it as cheap as possible so that I have the maximum amount of upside in
    0:18:13 the stock.
    0:18:16 And so, this is where I think sometimes, you know, sometimes fairly and sometimes unfairly
    0:18:21 I think that bankers, you know, are accused of potentially kind of favoring the institutional
    0:18:25 investors because they are the repeat players for the business at the expense sometimes of
    0:18:26 the company.
    0:18:30 Having done this once, you know, I was a banker, you know, earlier in my career and having
    0:18:34 seen the process, I, you know, there’s always some, you know, I think true to that, but
    0:18:38 I think more likely these are just more art than science, quite frankly, and it’s really
    0:18:42 hard to know based on the demand signals that they get exactly where to price the stock.
    0:18:46 And so, you know, sometimes they get it right, sometimes they don’t, I think it’s probably
    0:18:49 a little bit unfair to assume that there’s all kind of nefarious, you know, activity
    0:18:51 at work here.
    0:18:53 And what do I want to get out of my board in this situation?
    0:18:56 Are they basically sort of at this point not that important?
    0:19:00 Yeah, the board really starts to shift as you go public from being kind of, you know,
    0:19:03 more active and probably more, you know, in some cases, more valuable in the business
    0:19:07 to more of, quite frankly, a governance and a legal board in that sense, right, which is
    0:19:11 making sure that the process is good, making sure that you’re doing your audit committee
    0:19:12 and all the other things.
    0:19:16 So it’s not that boards are irrelevant as a public company, but I would say the nature
    0:19:20 of where boards spend their time starts to shift towards more compliance related activities
    0:19:24 versus kind of, you know, potentially forward business looking activities.
    0:19:25 Great.
    0:19:26 Fantastic.
    0:19:28 Well, Scott, thank you for spending so much time demystifying this entire process.
    0:19:32 I appreciate it and I hope this is helpful and I hope people will find, you know, they
    0:19:35 can go buy the book and, you know, dig deeper into a lot of these topics.
    0:19:39 Yes, there’s one big takeaway from having written the book and then been on the circuit
    0:19:40 promoting it.
    0:19:42 Like, what’s the big takeaway you would want entrepreneurs to take?
    0:19:46 Yeah, look, I think the biggest thing, and we hit on a lot of this, is, you know, look,
    0:19:49 understand, you know, who your partner is, as I mentioned, you know, somewhat facetiously,
    0:19:51 but it’s true, you know, these are marriages, right?
    0:19:55 You’re going to be with these companies for eight, 10, 12 years.
    0:19:58 And so, you know, I don’t want to over strain the analogy, but the concept of dating and
    0:20:02 understanding them really is relevant here, which is, you know, you wouldn’t get married
    0:20:05 without really understanding your spouse and who they are and what makes them tick.
    0:20:09 And I think in many respects, that is the equivalent of the dating process in the venture capital
    0:20:13 game is know what their incentives are, know what they’re interested in, and, you know,
    0:20:14 make sure you’re aligned.
    0:20:15 Great.
    0:20:16 All right, congratulations.
    0:20:21 You’ve made it to the very end of part three of our three-part series with Scott Cooper.
    0:20:25 Hopefully, you’ve got a really good sense of what goes on inside our heads when you meet
    0:20:30 with us because you understand what our incentives are, how we work, and how we’re trying to help
    0:20:34 you build a big, great, durable software business.
    0:20:40 We hope that this encourages you to continue your entrepreneurial journey, that it demystifies
    0:20:41 part of the process.
    0:20:44 Look, we’re in this together.
    0:20:47 Entrepreneurs and investors are here to change the world together.
    0:20:49 And yeah, there’s going to be tension on the line.
    0:20:51 There’s going to be times when we disagree.
    0:20:56 But fundamentally, we need to be about being side by side entrepreneur and investor because
    0:20:59 that’s the way that we get to change the world.
    0:21:02 So, we encourage you on your entrepreneurial journey.
    0:21:07 And if you’ve got a company that you’re building that seems like a good fit for the types of
    0:21:10 investments we make, the house is open, and we’d love to meet.
    0:21:18 [BLANK_AUDIO]

    In this final of a 3-part series (which originally aired as YouTube videos) on working with venture investors, a16z Managing Partner Scott Kupor shares best practices for working with your board as it grows from just you, your co-founders and first investor all the way through the time when you are recruiting independent board members in preparation for going public.

    Want to learn more? Read Scott’s book ”Secrets of Sand Hill Road: Venture Capital and How to Get It” (https://a16z.com/book/secrets-of-sand-hill-road/).


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

    This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • a16z Podcast: How To Raise Money From A Venture Investor

    AI transcript
    0:00:05 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice or be used to evaluate any investment or security and is not directed
    0:00:14 at any investors or potential investors in any A16Z fund.
    0:00:19 For more details, please see A16Z.com/disclosures.
    0:00:20 I’m Frank Chen.
    0:00:23 Today I’m here with Scott Cooper and we’re doing a three-part series.
    0:00:27 You’ve landed in part two, which is all about fundraising.
    0:00:32 What we’re going to do is dig into the mechanics of how you work with a VC during the fund
    0:00:36 raise process, how you interpret the terms of the term sheet, and hopefully this will
    0:00:42 give you a sense of how you can actually have a meaningful dialogue with a venture capitalist.
    0:00:47 We produce this video for the same reason that Scott wrote this book, which is as venture
    0:00:49 investors we do this day in and day out.
    0:00:54 We will see thousands of entrepreneurs will write dozens of term sheets, whereas you may
    0:00:56 end up doing this once in your life.
    0:01:01 And so we wanted to help you understand some of the terms and the art and the science that
    0:01:02 go into fundraising.
    0:01:05 All right, so let’s get right into it.
    0:01:06 Why do I need to be a Delaware C-Corp?
    0:01:11 Like what’s special about Delaware and what makes other entities hard to fund from a VC’s
    0:01:12 point of view?
    0:01:16 Yeah, so there are lots of varieties of, you know, kind of organizations of business you
    0:01:17 can do.
    0:01:19 There’s C-Corps, there’s things called partnerships.
    0:01:24 The main reason why you do a C-Corp and why it’s in Delaware, quite frankly, is there’s
    0:01:26 a lot of just legal precedent there.
    0:01:29 Delaware had kind of made themselves kind of the home of businesses many, many years
    0:01:30 ago.
    0:01:34 And so it makes people like us and lawyers feel comfortable because we know that there’s
    0:01:39 hundreds of years of, you know, kind of legal precedent that says, hey, if this thing happens,
    0:01:40 this is what happens.
    0:01:41 And things are fairly well settled.
    0:01:45 So you could certainly go other places, but Delaware is pretty good.
    0:01:46 The C-Corp does a lot of things.
    0:01:49 I think the main advantage of a C-Corp is it allows you to have lots of shareholders.
    0:01:53 And so if you’re going to grow over time, you’ll want to do that.
    0:01:56 It allows you to have kind of different classes of shareholders, right?
    0:01:59 So one of the things we’ll talk about probably is the fact that you as an entrepreneur might
    0:02:03 hold what are called common shares, whereas the VC investors might hold what are called
    0:02:04 preferred shares.
    0:02:08 And Delaware has a very well-established legal framework for us to have different shares
    0:02:11 that have different types of rights associated with them.
    0:02:14 And then ultimately, if you go public, you know, kind of the way public investors are
    0:02:17 used to, you know, investing in and taking public C-Corps.
    0:02:21 And so it’s a much easier and quite frankly, just more seamless way to think about kind
    0:02:24 of starting with ultimately quite frankly, where you want to end up.
    0:02:25 Got it.
    0:02:26 So the rails are well-defined.
    0:02:27 That’s right.
    0:02:29 And I don’t have to, like, place my own trails with a machete.
    0:02:30 That’s right.
    0:02:31 You can do a trail on this one, right?
    0:02:32 Exactly.
    0:02:33 Right.
    0:02:34 Every now and then we do get some entrepreneurs who come in here and want to do it.
    0:02:38 And they’ve got lots of interesting reasons, but so far I haven’t heard a really compelling
    0:02:39 one.
    0:02:40 Fourteen reasons.
    0:02:41 I need to be an LLC.
    0:02:42 Exactly.
    0:02:43 Right.
    0:02:44 Okay.
    0:02:45 Good.
    0:02:46 All right.
    0:02:47 Let’s pretend I’m still working at a company.
    0:02:48 Yeah.
    0:02:49 Let’s call it BigCo.
    0:02:50 Yeah.
    0:02:51 And I haven’t incorporated yet.
    0:02:55 I need to make sure that whatever I do is protected, my old company is going to come
    0:02:56 after me, right?
    0:02:57 Yeah.
    0:03:01 This is one of those things where I would say a little foresight can go a very, very
    0:03:02 long way.
    0:03:07 So what the VCs will worry about when you come to pitch them is you’ll say, “Hey, I’m
    0:03:08 working at BigCo.
    0:03:11 And oh, by the way, in my spare time on nights and weekends, I developed this wonderful new
    0:03:15 product and now I’d love you, Ms. VC, to kind of fund it for me.”
    0:03:18 And the first question that’s going to go off our heads is, “Okay, wait a second.
    0:03:22 Do you actually own that technology or could there be some theory under which your existing
    0:03:25 employer says, “Hey, I may own that stuff?”
    0:03:30 You may remember this whole case that happened with Uber and the company called Waymo, right?
    0:03:35 Where Waymo was part of Google and then a number of people left and ended up at Uber.
    0:03:39 There was this whole question about whether kind of the principle of that company had
    0:03:44 basically taken some kind of proprietary knowledge outside of Google and kind of given it to
    0:03:45 Uber.
    0:03:48 And the challenge with these cases is you’re kind of proving the negative, right?
    0:03:54 So in that case, Anthony Lewandowski, who was the person, he had to prove that he didn’t
    0:03:55 take anything, right?
    0:03:58 As opposed to them proving that he did take something in many respects.
    0:04:01 Now, the law doesn’t actually work that way, but in practice and perception, that’s the
    0:04:02 way it works.
    0:04:07 So our best advice on this stuff is, look, if you’ve got a great idea, number one, don’t
    0:04:10 ever use your work laptop for any of these things, right?
    0:04:12 So have some physical separation.
    0:04:15 And when you really get to the point where you feel like, “Okay, now it’s really, this
    0:04:20 is a real thing, either take a leave of absence from your company, quit your company, do whatever
    0:04:21 you do.”
    0:04:24 Because the last thing you want to do is find that you’ve come up with this wonderful idea,
    0:04:28 but you’ve just been sloppy and all of a sudden you just can’t find a way to commercialize
    0:04:30 it anymore.
    0:04:31 Got it.
    0:04:35 And then let’s get into the question of how much money should I raise?
    0:04:38 And there’s a couple of Twitter questions around it.
    0:04:41 So beginning with, do I even mention a check sign?
    0:04:43 Should I come with an ask or do I let the VC tell me?
    0:04:44 Yeah.
    0:04:45 Yeah.
    0:04:46 Let’s talk about the broad question.
    0:04:51 So the simple answer to how much money to raise is, how much money do you need to accomplish
    0:04:54 the objectives that you will need to accomplish to be able to raise the next round?
    0:04:57 And I know in some ways that sounds funny, but kind of the best advice I think we give
    0:05:02 entrepreneurs is, if you’re raising your Series A round today, you should be at that point
    0:05:06 in time thinking about, “What’s the pitch I’m going to give the Series B investors?”
    0:05:09 And then essentially work backwards and say, “Okay, for the Series B investors to be compelled
    0:05:14 by what I’m doing, what milestones, what objectives will they need to be able to see?
    0:05:16 Therefore how much money will I need to do that?
    0:05:18 How much time will I need to do that?”
    0:05:22 And that’s kind of the way to kind of back into your amount of money.
    0:05:27 And the answer to the Twitter question is, “Look, absolutely, you should tell the VC’s
    0:05:30 what you want and you should be able to articulate for X amount of dollars.
    0:05:31 This is what I can do.”
    0:05:36 And oh, by the way, if you gave me X plus 50%, I could do this much more.
    0:05:40 And part of the exercise, I think, for you and your VC partners to do is to say, “Okay,
    0:05:44 what is the right amount of money that doesn’t dilute us too much today, but gives us kind
    0:05:48 of enough degrees of freedom that when we go for that next round of financing, somebody
    0:05:53 will come in and put more money in at a higher price, hopefully, than kind of we did this
    0:05:54 first round.”
    0:05:55 Got it.
    0:06:00 So if I’m raising a Series A of financing, I need to start this whole sort of mental process
    0:06:02 with, “What’s the Series B investor want to see?”
    0:06:03 That’s exactly right.
    0:06:04 That’s how you start.
    0:06:08 And I think that’s the best mental framework to think about it because if you remember,
    0:06:12 if you think about from the perspective of the VC, who’s going to do the Series A, that’s
    0:06:15 what they’re worried about is, “Okay, do I believe this person can accomplish enough
    0:06:18 so that we can continue this ride?”
    0:06:23 And for you as the CEO, you care about that too because the best thing you can do is to
    0:06:27 have this very nicely, monotonically increasing valuation and share price over time.
    0:06:32 I tell the story of the book, which I know you’ll remember when we were at Loud Cloud.
    0:06:35 And Ben Horowitz and I spent a bunch of time raising this very large round.
    0:06:40 We raised $120 million and an $820 million post-money valuation.
    0:06:44 And so we walk into this all hands thinking that we’re heroes and everybody’s going to
    0:06:46 clap for us and tell us how smart we are.
    0:06:51 And we get this very muted silence and it turns out that everybody was upset, not because
    0:06:52 we didn’t raise at a very high valuation.
    0:06:54 In fact, our last round was about 60 million.
    0:06:59 So we raised at whatever that number is, 12, 13, 14 times our last round.
    0:07:04 But the company down the street from us, Storage Networks, had raised at a billion-dollar valuation.
    0:07:11 And so I tell people that story just because so much of company success and employee engagement
    0:07:15 is a function of these external benchmarks that people think about.
    0:07:19 And so that’s why thinking ahead to the next round is important because as much as you
    0:07:23 want to focus on accomplishing the objectives for your business, you also want to set yourself
    0:07:27 up so that you can continue to show progress to your employees by demonstrating that kind
    0:07:32 of a new investor values the company at a higher level than your prior investor did.
    0:07:33 Interesting.
    0:07:37 So that’s the perfect segue to this other Twitter question, which is, how often do you
    0:07:41 find that founders pushing too hard on high valuations end up hurting themselves?
    0:07:46 And so maybe talk about structurally, what happens if you get too high a valuation in
    0:07:47 this round?
    0:07:50 Because on the face of it, it’s kind of like, look, too high a valuation means I suffer the
    0:07:51 less solution.
    0:07:52 I own more of this company.
    0:07:53 Victory.
    0:07:54 Right?
    0:07:55 Like why is that not always victory?
    0:07:56 I agree.
    0:08:01 But honestly, this is a very hard thing as a VC to talk about because look, the immediate
    0:08:04 reaction from an entrepreneur, understandably so, is, well, of course you want the valuation
    0:08:08 to be lower because that’s right, it’s in your own financial interest to pay as little
    0:08:10 as possible and own as much as my company.
    0:08:15 And I won’t fight that argument, which is that’s true, but let me at least try to make
    0:08:18 the pro case for why I do think entrepreneurs should care about this.
    0:08:22 And I think it goes back to kind of the story I just mentioned, which is, if you think about
    0:08:26 running the business, you’re the CEO, you’re telling your company, okay, hey, good news,
    0:08:29 we just raised $5 million from Andrews and Horowitz, okay?
    0:08:31 Now, here’s all the things that we’re going to accomplish.
    0:08:34 Here’s your objectives, here’s what we’re going to do in terms of hiring, here’s what
    0:08:39 we’re going to do in terms of customer acquisition, and hopefully you’re executing all those, right?
    0:08:45 And so 18 months comes down the road and you say, great, we’ve accomplished all those objectives.
    0:08:48 I’ve been telling my employees, they’re right on track, and then all of a sudden I go out
    0:08:52 to raise money and I run into this buzz saw where a new investor says, hey, congratulations
    0:08:53 on all that.
    0:08:58 But by the way, I think you actually overvalued your company at that last round, and so even
    0:09:04 though all of your metrics have doubled from where you had said they were, I’m only willing
    0:09:07 to pay 50% more for the company or something like that, right?
    0:09:10 And there’s reasons why that may happen that are outside your control, right?
    0:09:15 So maybe the market has changed and we just now value companies differently, and of course,
    0:09:17 there’s nothing you can do about that.
    0:09:21 But what you can do is at least derisk the situation and say, okay, if I accomplish the
    0:09:26 things that I set out to accomplish, do I believe the market will reflect that in how
    0:09:27 they value the business?
    0:09:31 And it’s really hard as a CEO to imagine going up and doing it all hands when you’ve
    0:09:35 been telling everybody all along, everything’s great, and now you have to kind of tell them,
    0:09:39 oh, by the way, it’s not that great based on some external metric.
    0:09:43 And even though it’s only one metric, these are important data points that unfortunately,
    0:09:47 for better or worse, do have psychological impact on how the employees feel about their
    0:09:50 progress, on how you think about recruitment and retention of employees.
    0:09:56 So it’s a hard balancing act, of course, to happen, but in general, the idea of kind
    0:10:01 of having a stock price that goes up and down all the time is more probably kind of disheartening
    0:10:06 to the company than kind of something that where the progress of the business also is
    0:10:08 reflected in the progress on valuation.
    0:10:11 Yeah, it’s hard because there’s sort of an emotional moment, which is I’m negotiating
    0:10:13 this round of financing.
    0:10:14 That’s right, exactly.
    0:10:17 And I want to preserve as much ownership as I can, and it’s harder to think about the
    0:10:18 long-term consequences.
    0:10:19 Absolutely.
    0:10:20 Right, yeah.
    0:10:21 It’s a very hard thing.
    0:10:24 And look, as I said, this is a hard tension between entrepreneur and venture capitalist
    0:10:29 because in one level, the incentives are different, which is at the point of time I’m investing
    0:10:30 as a venture capitalist, yes.
    0:10:35 If I could invest less money for more ownership, that’s better for me.
    0:10:39 Where we are aligned is that it’s not good for either one of us if we end up in these
    0:10:43 situations down the road where kind of we can’t raise more money or we can only raise
    0:10:47 more money at a substantially lower value than we thought because that has both emotional
    0:10:50 and economic implications for both of us.
    0:10:51 Got it.
    0:10:55 Let’s talk a little bit about the form of investment.
    0:10:59 And so you can raise a priced equity round or you can raise a convertible note where
    0:11:00 there’s no price.
    0:11:03 So you have a recommendation in the book and maybe walk me through it.
    0:11:06 Yeah, so I talk in the book a lot about convertible notes.
    0:11:09 You’ll hear this term if you’ve been in the YC world of something called a safe, which
    0:11:14 is basically just a fancy way of saying it’s a piece of debt that ultimately converts into
    0:11:18 equity at some predetermined price in the future.
    0:11:20 They’re very good because they’re very simple.
    0:11:22 There’s very low legal costs for doing them.
    0:11:27 The paperwork’s very easy and all that is good and I’m all for efficiency and cost.
    0:11:31 The failure case that I’ve seen, unfortunately, with a number of entrepreneurs is in some
    0:11:35 respects because in number one, it’s so easy to raise money on a safe.
    0:11:39 You often find people do what are called rolling closes, which is usually on a priced round
    0:11:41 we’re like, this is your date, right?
    0:11:43 Get your money in by June 30th or else you’re out of this deal, right?
    0:11:48 And the safes have this very nice convention, which is I can close one on June 30th and
    0:11:51 I can kind of do one on July 31st, I can kind of keep doing it.
    0:11:53 And that’s very good and convenient.
    0:11:58 The problem is never along that way does the entrepreneur see the actual capitalization
    0:12:03 table of what is it going to look like when all those safes convert into equity.
    0:12:07 And so several times we’ve had entrepreneurs come in here and it’s kind of sticker shock
    0:12:12 when we give them an offer on the A round and then we actually kind of build the capitalization
    0:12:16 table out of that and they realize that they inadvertently sold more of the company than
    0:12:20 they had realized based upon this kind of concept of these rolling closes of notes.
    0:12:26 So I’m not against safes, I would just say if you do it, this is kind of a failure case
    0:12:27 that I think happens.
    0:12:32 And I think you can accomplish the same efficiency goals with there’s a thing called series seed,
    0:12:34 which is a very, very lightweight way of doing an equity deal.
    0:12:38 So I just would encourage entrepreneurs to make sure if they go that route, they really
    0:12:43 do pay attention and understand how much of the company they’ve sold and don’t kind of
    0:12:48 find themselves kind of all of a sudden frightened one day when they realize kind of how much
    0:12:51 money they may have given away in the company.
    0:12:52 It’s very tempting, right?
    0:12:56 Because the reason that you do a rolling close with these safes is, oh, I found the perfect
    0:12:57 advisor.
    0:12:58 That’s right.
    0:13:00 Or I found the perfect early customer who wants to invest.
    0:13:02 Or I found somebody else, right, a friend or family.
    0:13:04 And so it feels convenient.
    0:13:05 Yeah, it’s convenient.
    0:13:06 Right.
    0:13:11 Yeah, arbitrarily why we should have these kind of specific hard closes at different
    0:13:12 times.
    0:13:13 But yeah, it is convenient.
    0:13:14 And again, it’s got a lot of value.
    0:13:15 So I don’t want to suggest it’s never the right thing.
    0:13:21 But I think it’s something to be aware of and make sure that you consider as an entrepreneur.
    0:13:23 So let’s imagine I go through this process.
    0:13:24 I’ve assembled my pitch deck.
    0:13:27 I’ve got an offer and now I’m evaluating offers.
    0:13:32 Yay, I’m in this enviable position evaluating term sheets.
    0:13:36 So you talk a little bit in the term sheet about sort of the economic parts versus the
    0:13:37 governance parts.
    0:13:40 And so maybe let’s talk about each of them in turn.
    0:13:47 So on the economic parts of my term sheet, maybe let’s talk about what is this thing
    0:13:49 called, liquidation preferences?
    0:13:50 What is this?
    0:13:53 Yeah, there’s a whole several chapters in the book on this.
    0:13:54 So I’ll give you the 30 second version.
    0:13:58 So the simple way to think about liquidation preference is just the order in which money
    0:14:00 comes out of the company.
    0:14:03 So a liquidation is a fancy way of saying hopefully not an actual liquidation where
    0:14:06 we’re saying now the company, but hopefully a sale of the company.
    0:14:08 But it could certainly be the former as well.
    0:14:12 And so what that means is who gets their money and in what order.
    0:14:16 And generally what happens in venture fencing is the money that I invest as a venture capitalist
    0:14:21 has what’s called a liquidation preference on it, which means my money comes out first
    0:14:24 relative to the monies that would be owed the common shareholders, which is typically
    0:14:26 where the founders and the team.
    0:14:27 That’s right.
    0:14:34 A simple example, if I invest $10 million and let’s say we sell the company for $10 million,
    0:14:38 typically I will have $10 million worth of liquidation preference, which means all 10
    0:14:43 of that money comes back to me and unfortunately for you and your employees, you have nothing.
    0:14:45 And so that’s kind of the simple way to think about it.
    0:14:53 It’s fairly common in venture deals, but typically it is kind of capped by just the amount of
    0:14:56 money that the venture investors have put into the company.
    0:15:01 And what’s kind of the most entrepreneur friendly liquidation preference formula that I should
    0:15:02 live with?
    0:15:05 There’s so many different kinds of liquidation preference.
    0:15:08 Participating prefer non-3x, right?
    0:15:09 So what’s the most entrepreneur friendly?
    0:15:12 The most entrepreneur friendly and the one that I think generally predominates quite
    0:15:16 frankly, particularly in Silicon Valley is what you would call a 1x non-participating
    0:15:17 liquidation preference.
    0:15:21 If you break that apart, 1x just means one times the money we put in, right?
    0:15:25 So I don’t get two times my money, I don’t get three times my money, I get my $10 million
    0:15:27 in that example we talked about.
    0:15:31 And then non-participating means I don’t get to do what’s called double dipping.
    0:15:35 And what double dipping means is not only do I get to take my liquidation preference
    0:15:41 off, but then I also get to share in the proceeds that reflect my percentage ownership of the
    0:15:42 company, right?
    0:15:48 So in an example where let’s just say I put in $10 million and I own 25% of the company
    0:15:54 or something like that, if I had participating preference, I would get my $10 million first
    0:15:56 and then there’d be 10 left over, right?
    0:15:57 Because we sold it for 20, there’s 10 left over.
    0:16:02 Then I would also get 25% of that additional $10 million, fundamentally, you know, and
    0:16:06 I say this the book, like I think that’s very unfair to the entrepreneurs and to the common
    0:16:10 shareholders because liquidation preference is really intended to protect your downside.
    0:16:11 And so it’s not obvious to me-
    0:16:12 Something’s gone wrong.
    0:16:13 Yeah, right.
    0:16:16 Once you’ve kind of gotten your money out, it’s not obvious to me why you should also
    0:16:20 participate in the upside and obviously take money away from the founders or the employees.
    0:16:21 Yeah.
    0:16:26 So when I hear my friends complaining about deals with structure, I guess this is an example
    0:16:29 of deals with structure, like unfair liquidation preferences.
    0:16:35 Right, unfair liquidation preferences, other structures sometimes you see is things, there’s
    0:16:39 something called anti-dilution protection, which is again a basic way to say, “Hey, look,
    0:16:44 if we later in the future raise money at a lower price than we raise today, it kind of
    0:16:47 trues up the venture capitalist to a certain extent.”
    0:16:52 And there’s a very common one, which is called weighted average anti-dilution, which is fairly
    0:16:55 common, but there’s also a very egregious form of that, which you sometimes hear called
    0:16:56 a ratchet.
    0:16:59 And what a ratchet is, is really a complete price reset.
    0:17:04 So it says, “Hey, if today I bought shares at $2 a share, and tomorrow you sell shares
    0:17:09 at $1 a share, my $2 price converts to the $1 price,” meaning I literally get double
    0:17:12 the number of equity ownership in the company than I thought.
    0:17:18 And so you’ll see structure like that is sometimes happens when kind of people are trying to balance
    0:17:20 off valuation with some of these other rights.
    0:17:23 And that’s really a lot of what I try to point out in the book, is that it’s very hard to
    0:17:26 look at these in isolation because they all have some kind of economic value.
    0:17:30 So if you’re going to push on valuation, you might expect a venture capitalist to push
    0:17:32 on some of these structure items.
    0:17:35 And so the big advice that we always give entrepreneurs, and I echo this in the book,
    0:17:38 is the simpler you can keep it the better.
    0:17:42 And so if you’ve got one deal that’s got a lot of structure at this price, ask the
    0:17:47 question for a lower price, what would a deal that’s a clean deal that doesn’t have all
    0:17:52 the structure look like, that’s often quite frankly the advice that we give to entrepreneurs.
    0:17:58 So I can actually get myself in trouble by sort of taking the highest post money because
    0:18:02 of all of this structure and how does the money come out in these scenarios.
    0:18:05 Yeah, I think there’s two risks that you always have to think about when you do the structure.
    0:18:09 One is just, you’re potentially postponing the inevitable, right, which is you don’t
    0:18:13 really know what the impact of these things will be until you have that next financing
    0:18:14 event, right.
    0:18:18 And so, look, the world may be perfect and you may never have to, you know, everything
    0:18:21 may go up and to the right, which we all hope, but that’s not always the case.
    0:18:25 And so, you know, a great example of this was, this is public information, but when Square
    0:18:29 went public, they went public at $8 a share.
    0:18:32 Their last round of financing was at $16 a share.
    0:18:36 And those $16 investors had this full ratchet that we were talking about.
    0:18:41 So, those $16 shareholders basically got issued two times the number of shares to bring their
    0:18:42 price down to eight.
    0:18:47 And so, all the existing shareholders obviously bore the brunt of that incremental, you know,
    0:18:48 dilution from those shares.
    0:18:49 So that’s kind of thing number one.
    0:18:53 Thing number two is just, and this is why we always say keep it simple, is everything
    0:18:56 you do today has the risk of creating precedent for the future.
    0:18:58 And so, you may think, hey, look, you know, you and I are buddies.
    0:19:01 This is, you know, I’m giving you these special rights because we’re friends.
    0:19:05 But when that next investor comes in and looks at the paperwork from the previous round and
    0:19:09 sees that you gave that stuff to the other investor, you know, the likely outcome is
    0:19:10 they’re going to want the same thing.
    0:19:13 And now you start to kind of get the cumulative effect of some of these things, which can
    0:19:15 be, you know, pretty harmful at one time.
    0:19:16 Right.
    0:19:19 So, every subsequent investor is going to kind of want the same deal with a prior investor
    0:19:20 or better.
    0:19:21 Yeah, exactly.
    0:19:22 Right.
    0:19:23 You have to think into the future.
    0:19:24 That’s exactly right.
    0:19:25 You have more than one shareholder.
    0:19:26 Yeah.
    0:19:27 And you just don’t know how much negotiating leverage you’ll have at that time.
    0:19:30 So, you don’t want to set yourself up to kind of start by having to defend or walk
    0:19:33 away from a deal that you did prior.
    0:19:34 Got it.
    0:19:38 So, we’ve come back to the idea that, like, when I’m raising the Series A, I need to really
    0:19:42 think about Series B and Series C and Series D, right, sort of like the sequence of investors
    0:19:43 that I’m going to need.
    0:19:44 That’s right.
    0:19:50 I should sort of think through the entire financing plan before I start fundraising for
    0:19:51 the Series A.
    0:19:52 I think that’s right.
    0:19:55 Yeah, look, I mean, you know, you want to kind of project as much foresight as you can,
    0:19:58 recognizing that, look, markets may change, you know, kind of the financing environment
    0:19:59 may change.
    0:20:01 Those are things out of your control.
    0:20:04 What’s in your control, at least, is to have a thoughtful plan for if I accomplish these
    0:20:09 things, is that likely to lead to, you know, a favorable financing situation.
    0:20:13 And if I make sure that I don’t kind of load up my terms with all kinds of crazy bells
    0:20:16 and whistles, hopefully I set myself up for success.
    0:20:17 Right.
    0:20:19 So, it sounds like on the economic side of the term sheet, let’s keep it simple.
    0:20:20 Yeah.
    0:20:23 It’s sort of the big advice and think about the subsequent investors.
    0:20:24 Absolutely.
    0:20:27 I mean, so don’t do something abnormal early because that’s just going to bite you later.
    0:20:31 Let’s talk a little bit about governance, the governance side of the term sheet.
    0:20:35 So maybe the first question is, I heard that Google and Facebook have these dual class voting
    0:20:38 shares and then, like, the founders have ultimate control.
    0:20:39 That sounds good to me.
    0:20:41 Like, don’t I always want that?
    0:20:43 I want 10 times the voting share.
    0:20:44 Right, exactly.
    0:20:45 Does anybody else?
    0:20:47 We do get some entrepreneurs, even, in the private markets who come ask us for that.
    0:20:51 So, the important thing, I think, to think about in these, the idea, by the way, behind
    0:20:55 dual class shares, for people who don’t know, is that literally shares have differential
    0:20:56 voting rights.
    0:21:00 Like, in the Facebook and Google cases, you’re right that Mark Zuckerberg and Larry Page
    0:21:03 and other founders have kind of, you know, a high vote stock, which means they have more
    0:21:07 influence on corporate matters and then everyone else has a low vote stock.
    0:21:12 The reason those exist in the public markets is out of concerns of kind of potential misalignment
    0:21:15 between long-term versus short-term incentives in the market, right?
    0:21:19 And so, in a company like Facebook, let’s use that, you know, Mark probably has all
    0:21:23 kinds of product ideas that he wants to execute over the next three, five, 10 years.
    0:21:24 Those will all take time.
    0:21:25 They will cost money.
    0:21:29 There could be quarter-to-quarter gyrations in his expenses and revenue as a result of
    0:21:31 these product plans.
    0:21:34 And the main reason why somebody like that puts in dual classes, because he wants to
    0:21:39 be able to make sure that if there are investors who are more short-term oriented, they can’t
    0:21:42 out-vote him and say, “Hey, look, I don’t like your product strategy because of kind
    0:21:44 of these short-term gyrations.”
    0:21:48 The reason why those tend not to exist in the private markets is we’re all completely
    0:21:50 aligned, which is none of us have liquidity, right?
    0:21:54 So, we can’t, you know, in general, in many times we are prevented from selling our shares
    0:21:55 legally.
    0:21:59 So, there’s no liquid market, and we have a time horizon that’s consistent with the
    0:22:01 entrepreneur’s time horizon, right?
    0:22:04 You know, we don’t care, you know, obviously we don’t care about what they do quarter-to-quarter
    0:22:07 other than to the extent it just represents them not being able to manage the business
    0:22:09 in a way that makes sense.
    0:22:14 And so, that’s why you tend not to see them in private markets.
    0:22:17 What we’ve done with many of our companies is as they get closer to going public, we
    0:22:21 have agreed with them that, okay, having these dual-class shares when and if you go public
    0:22:26 is a good thing to do, but we haven’t done that, obviously, in the private markets.
    0:22:27 Got it.
    0:22:32 So, my first board members will likely be sort of either my co-founders and then my
    0:22:33 early investors.
    0:22:34 Right.
    0:22:38 At some point, we’re going to go on a quest for an independent board member, and how should
    0:22:39 I think about that?
    0:22:40 When do we do that?
    0:22:41 Why do I need one?
    0:22:42 Who should I look for?
    0:22:43 Yeah.
    0:22:47 So, most boards you’re right are, in fact, most boards at the beginning don’t have independent
    0:22:48 board members.
    0:22:49 You’re right.
    0:22:52 So, if you’re a co-founder and then typically as part of a venture capitalist coming into
    0:22:56 your company as an investor, you will generally give them a board seat.
    0:23:00 The reason I think independence are important is you want to have kind of balance on the
    0:23:01 board.
    0:23:05 And so, one of the phenomenon that we’ve seen over the last 10 years is a change in the
    0:23:08 board structure in that it used to be that the venture capitalist would outnumber the
    0:23:14 common shareholders, and that was of concern to many founder CEOs because it gave the venture
    0:23:17 capitalist kind of the unilateral right in many cases to be able to remove the CEO if
    0:23:19 they didn’t like them.
    0:23:23 Over the last 10 years, that’s really shifted, and more of our boards have more common shareholders,
    0:23:29 more founder and employee-led board members than they have preferred shareholders.
    0:23:34 And that’s understandable and fair given some of the kind of changes we’ve had in governance.
    0:23:39 The idea, though, behind an independent is can we find someone who is kind of not representing
    0:23:42 either just the founders and not representing the preferred shareholders, but someone who’s
    0:23:45 going to take a more neutral and expansive view of the business?
    0:23:51 And so, I think it’s hard to probably do it early in your days, but as the board grows,
    0:23:56 maybe as the board gets to four or five people, having an independent or two will be valuable.
    0:23:59 And I think most people who’ve done it have gotten great value out of it, and oftentimes
    0:24:04 they’ll look for an industry expert in the domain they’re in, or maybe they’re looking
    0:24:08 for, hey, we need more sales and marketing help, and so let’s bring in someone who has
    0:24:10 kind of expertise from an organizational perspective.
    0:24:13 So those are the characteristics we tend to see with independence.
    0:24:19 And as I approach an IPO, if all goes well, it seems like it’ll be expected that I have
    0:24:20 an independent board member.
    0:24:21 That’s exactly right.
    0:24:22 One of the checklist items for going public.
    0:24:23 That’s right, yeah.
    0:24:24 So you’ll see this with companies, right?
    0:24:26 When they go public, there are the different exchanges.
    0:24:32 NASDAQ and NYSE have what they call listing rules, which require some number of independence.
    0:24:35 They require some number of financial experts to be able to sit on things like the audit
    0:24:36 committee.
    0:24:39 So it becomes much more prescriptive as you go, and so you’ll often see a company kind
    0:24:44 of, you know, T-minus one or two years leading up to an IPO start to kind of augment their
    0:24:47 boards to satisfy these listing standards.
    0:24:48 Got it.
    0:24:51 Let’s talk a little bit about pro-rata rights.
    0:24:54 So there’s going to be this element in the term sheet that says, here are what my existing
    0:24:59 investors can be expected or are allowed to invest in subsequent rounds.
    0:25:02 So how should I have that conversation with an investor?
    0:25:05 What kind of pro-rata rights do I want them to have, and so on?
    0:25:09 So it’s pretty typical when you do a fundraise that, you know, kind of one of the things that
    0:25:13 we as venture caps will ask for is exactly this right, and what it means is it’s the
    0:25:17 right for us to invest additional dollars in the next round of financing in order to
    0:25:20 preserve the economic ownership that we already have in the company, right?
    0:25:25 So if I own 25% of the company today, this gives me the right to hopefully put more money
    0:25:29 in later such that my 25% kind of stays, you know, in and around that.
    0:25:30 At a higher price?
    0:25:31 Because I’ve made progress?
    0:25:32 At a higher price, right?
    0:25:34 So in general, it’s a very good thing.
    0:25:39 Now, pro-rata rights become more challenging in the very, very good case, which is a nice
    0:25:43 place to be, but, you know, if you are just executing phenomenally well and you’ve got
    0:25:47 a new investor, you’re going to raise money and a new investor comes in and says, “Hey,
    0:25:51 I want to put a bunch of money in, but for me to make my business model work, I need
    0:25:53 to own a certain percentage of the company,” right?
    0:25:57 Because if you go back to where we started from our last session, so much of what the
    0:26:01 venture capitalist incentive is, can I get a Facebook, can I get a Google, and, you know,
    0:26:03 there’s kind of two big cardinal sins in this business.
    0:26:06 One is you miss one of those companies, you don’t invest in them.
    0:26:09 The other is that you invest in it, but you don’t own enough of it so that when it gets
    0:26:12 to be Facebook, it still doesn’t meaningfully change your economics.
    0:26:16 And this pro-rata thing is kind of an example of the latter where that new investor may
    0:26:19 come in and say, “Hey, look, I’m going to give you all this money, but I still only
    0:26:24 own 3% or 4% of the company, and so, hey, I want you to go back to your existing investors
    0:26:27 and tell them, ‘Don’t do your pro-rata, but let this new investor do it.’”
    0:26:30 Now, admittedly, it’s a good problem to have, right?
    0:26:32 Because it means we’ve got people who are bound, you know, kind of pounding down the
    0:26:34 door to let us in.
    0:26:36 But that does create tension.
    0:26:40 You often see this even in the series A to seed side of things, that seed investors feel
    0:26:44 like many times that they get compromised, and that the A round investors are trying
    0:26:46 to kind of prevent them from doing pro-rata.
    0:26:50 So it’s a very common thing to have, but I think it’s something where it puts you as
    0:26:54 a CEO in a situation where you may have to manage kind of conflicting incentives among
    0:26:55 your investors.
    0:26:58 And so, you know, you just need to kind of go in eyes wide open, and hopefully you’ve
    0:27:02 got a good enough dialogue with your existing investors where you can say, “Hey, let’s figure
    0:27:05 out some compromise here that makes sense where everybody can feel like they can walk
    0:27:08 away happy from the table.”
    0:27:10 And what should I expect from my existing early investors?
    0:27:14 So somebody invest in my A, should I expect them to be along for the ride and do their
    0:27:18 pro-rata in the B and the C and the D all the way?
    0:27:21 Yeah, you know, different firms have different philosophies on this.
    0:27:25 You know, the way we do it here is, if we’re the A round investor, our general thinking
    0:27:29 is that, you know, unless something dramatic happens with the company, you know, we should
    0:27:32 expect that we’re going to participate pro-rata in the next round of financing.
    0:27:35 We think, I think that’s kind of generally the convention in the industry.
    0:27:38 On that, though, the answer for most firms, and we treat it the same way, is it’s kind
    0:27:42 of an independent decision at that point in time because, you know, the dollars can get
    0:27:45 very, very big and, you know, kind of, you have to think about, you know, how much do
    0:27:47 I own at what kind of cost basis.
    0:27:51 So I think it’s an important conversation, actually, to have with your VC when you take
    0:27:55 money from them because you certainly don’t want to kind of, you know, miss set expectations,
    0:27:58 you know, between the two of you, and you also want to be able to make sure when you
    0:28:03 go raise money that you’re not creating some signaling effect otherwise where the new investors
    0:28:07 are expecting your existing investor to participate and the fact that they don’t do it, they read
    0:28:08 as a negative signal.
    0:28:12 That can happen sometimes if you haven’t kind of had this conversation and, you know, already,
    0:28:14 you know, set the right expectations up front.
    0:28:15 Yeah.
    0:28:18 So I need to be clear with you as soon as you put your money in.
    0:28:22 I can count on you for the next round, or maybe the round after that, but like we should
    0:28:23 just be on the same page.
    0:28:24 That’s exactly right.
    0:28:25 Yeah.
    0:28:26 Great.
    0:28:27 Good.
    0:28:28 So last few questions on sort of governance.
    0:28:32 Let’s talk about stock restrictions, like what are they, how should I think about them?
    0:28:33 Yeah.
    0:28:37 So this is one that’s come up more often because of this phenomenon now that companies are
    0:28:38 staying private longer, right?
    0:28:42 So it used to be not a big deal because companies about, you know, six years or so from founding
    0:28:44 was kind of the median time to going public.
    0:28:46 Now we’re talking 10, 12 years.
    0:28:49 And so the things that you want to think about as a founder is two things.
    0:28:53 Number one is, what are my investors going to do?
    0:28:56 And so often you will see that investors will have restrictions on their ability to sell
    0:29:00 shares and those come in lots of different flavors, which we won’t go into detail, but
    0:29:01 you can read about on the book.
    0:29:03 And then the other question is, what do you do about employees, right?
    0:29:07 Because you’re probably going to have employees who will have fully vested their shares, some
    0:29:09 of whom will have left the company.
    0:29:11 And you know, this is one is a tough one to navigate, right?
    0:29:15 Because on one level as a CEO, you know, I think you want to, you know, you want to
    0:29:19 get flexibility to your employees, particularly the ones who are still, you know, at the company,
    0:29:21 right, doing great work.
    0:29:25 The thing you want to be careful about though is making sure that those shares don’t kind
    0:29:29 of take up demand that would otherwise exist for people to buy shares from the company,
    0:29:32 where the cash would come into the company, and therefore allow you to kind of raise money
    0:29:33 and grow the business, right?
    0:29:37 So if you think about this at some level, there may be a finite amount of dollars that
    0:29:40 all the investors are willing to put in this company.
    0:29:44 And if you have employees share sales competing with sales that you’re making as the company
    0:29:48 to try to raise money to put in your own coffers, there can be a kind of a tension there.
    0:29:54 And so more generally these days, we see fairly restrictive provisions here, which is most
    0:29:58 companies try to kind of, you know, say, “Hey, look, if you’re going to sell as an employee,
    0:30:02 you need the consent of the company,” or something like that, so that you kind of have more control
    0:30:07 over the timing and also the volume, potentially, of these purchases.
    0:30:12 Thinking about employee incentives, since this is sort of part of the discussion, my
    0:30:17 friends who are doing longer vesting schedules or back-loaded employee options instead of
    0:30:22 sort of, you know, one 48th over four years, they’re doing, you know, 10, 20, 30, 40, right,
    0:30:26 to incent people to stay longer, how should I think about those types of incentives?
    0:30:27 Yeah.
    0:30:29 You know, there’s lots of discussions on this right now.
    0:30:32 The short answer is I’m not sure there’s yet a real change in convention.
    0:30:35 I think most people are still doing the pretty straight four years.
    0:30:40 The big change that you may have heard about from some people is normally when you leave
    0:30:44 the company and you’re vested, you typically have about 90 days to either exercise your
    0:30:47 shares or you have to forfeit them.
    0:30:51 And because of this elongation of companies staying private, a lot of companies now have
    0:30:54 extended that period and they say, “Hey, look, we’re going to give you a year or two years
    0:30:58 or something because we recognize there’s not a liquid market in the form of an IPO
    0:31:02 to be able to sell them and we know it’s expensive for you to come out of pocket to have to exercise
    0:31:03 your options.”
    0:31:07 So, there’s probably more creativity, I would say, happening on that side, less creativity
    0:31:11 on fundamentally rethinking whether we should have just a different investing schedule overall
    0:31:14 that reflects, you know, kind of the fact that companies are staying private longer.
    0:31:15 Got it.
    0:31:19 So, if I wanted to be as sort of maximally employee-friendly as possible, I’d be extending
    0:31:22 the time that people can choose to exercise their contracts.
    0:31:23 That’s exactly right.
    0:31:24 Yeah.
    0:31:27 And, you know, the only thing that, you know, and we’ve talked about this in some of our
    0:31:32 blogs, the only thing to think about there is that means that those shares, you know,
    0:31:36 those shares will be what’s called an overhang, meaning that, you know, kind of they’re sitting
    0:31:37 out there.
    0:31:40 You don’t really know if they’re going to get exercised or not, but, you know, sometimes
    0:31:43 in the alternative, people might not have exercised them.
    0:31:46 Those shares can be returned to the company and the company could use them, obviously,
    0:31:48 to issue new options to people.
    0:31:52 So, there’s a, you know, a very emotional, understandably so, and a very kind of deep
    0:31:53 debate on this.
    0:31:57 But, yes, in the perfectly employee-friendly case, you would extend it out as long as possible
    0:31:59 to give people the maximum time period.
    0:32:00 Got it.
    0:32:01 Great.
    0:32:04 Thanks for talking to us about all of the economic and governance terms.
    0:32:08 The term sheet can be very intimidating, so I’m glad you sort of went through it and
    0:32:09 demystified it.
    0:32:10 Thanks, Frank.
    0:32:11 All right.
    0:32:12 Congratulations.
    0:32:16 You’ve survived to the end of part two, where we talked about understanding fundraising
    0:32:19 and the terms that go into a term sheet.
    0:32:23 Hopefully this gives you a sense of all of the mysterious terms you’ve now seen, maybe
    0:32:28 for the first time, when a term sheet has arrived.
    0:32:31 Next up, we’re going to do part three of our series.
    0:32:35 And part three is all going to be about living with your venture investor over a long period
    0:32:36 of time.
    0:32:41 So, you might actually have the same person on your board of your company for 10 years,
    0:32:49 and so Scott has great tips for how to understand the bends in that relationship and how it
    0:32:55 will change over time, and we’re going to dig right into three concrete scenarios that
    0:32:59 you might end up encountering, one in which you are winding down your company, one in
    0:33:03 which you’re selling your company, and one in which you are actually going public.
    0:33:06 Congratulations, and we’ll see you at part three.

    So you’ve decided raising venture capital is the best fundraising strategy for your startup. Now what?

    In this second of a 3-part series, a16z Managing Partner Scott Kupor shares actionable fundraising advice based on his experience of seeing thousands of startup pitches and working on all of a16z’s investments.

    Want to learn more? Read Scott’s book ”Secrets of Sand Hill Road: Venture Capital and How to Get It” (https://a16z.com/book/secrets-of-sand-hill-road/).


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

    This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • a16z Podcast: How To Understand And Choose A Venture Investor

    AI transcript
    0:00:05 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice or be used to evaluate any investment or security and is not directed
    0:00:14 at any investors or potential investors in any A16Z fund.
    0:00:19 For more details, please see A16Z.com/disclosures.
    0:00:22 I’m Frank Chen and today I’m delighted to be here with Scott Cooper.
    0:00:23 Thank you for having me.
    0:00:26 Scott and I have known each other for 15 years, maybe longer.
    0:00:27 Maybe longer.
    0:00:28 Yeah.
    0:00:32 In the Hard Things book because we were both in that loud cloud and we’ve been here at
    0:00:33 Andreessen Horowitz.
    0:00:34 This is our 10th year?
    0:00:35 Yeah.
    0:00:36 Yeah.
    0:00:38 Is this the longest you’ve ever held a job?
    0:00:39 It is now.
    0:00:40 I think about it.
    0:00:41 Right.
    0:00:42 It is for me.
    0:00:43 A lot of thought-offs were if you include the HP acquisition.
    0:00:44 That’s true.
    0:00:45 Like if you add all those together.
    0:00:46 Yeah, but almost, yeah.
    0:00:47 10 years at a single entity.
    0:00:50 It’s like the longest for me.
    0:00:52 So Scott is our managing partner.
    0:00:55 He was the first employee at Andreessen Horowitz.
    0:00:56 He is also my boss.
    0:00:59 So this is great that you’re here.
    0:01:05 Somehow in the midst of a fundraise and managing the firm, you went off and wrote a book.
    0:01:08 And so we’ll talk a little bit about that today.
    0:01:10 I try to stay busy.
    0:01:11 Right?
    0:01:12 Yeah.
    0:01:13 So here’s what we’re going to do today.
    0:01:20 I’m going to pretend to be a startup CEO who is raising money and I get a free reign
    0:01:25 that asking any question I want about the fundraising process about how I should think
    0:01:28 about how much to raise and who I’m working with.
    0:01:31 And Scott has promised to candidly answer all these questions.
    0:01:34 So this should be a huge treat for people who are thinking about raising money for their
    0:01:36 own startup.
    0:01:41 We also have some questions from Twitter that we’re going to interleave into this conversation.
    0:01:43 So it’s not just me.
    0:01:48 Scott hosted a Twitter ask me anything this morning and we had some questions come up
    0:01:52 that we wanted to treat with a little more depth.
    0:01:53 And there were some questions we couldn’t get to.
    0:01:54 Yeah.
    0:01:57 We got all into a package here.
    0:02:01 The three segments that we’re going to use to talk about the startup journey are basically
    0:02:03 the chapters in a startup.
    0:02:07 So we’re going to talk about how do I figure out which venture capitalist I want to work
    0:02:08 with?
    0:02:09 How do I raise money?
    0:02:11 And then how do I build my company?
    0:02:15 So after the fund raise, the venture capitalist typically takes a board seat and then our
    0:02:16 relationship changes.
    0:02:18 So we’ll sort of ask questions about that too.
    0:02:19 So you ready?
    0:02:20 Sounds like fun.
    0:02:21 You ready?
    0:02:22 All right.
    0:02:23 Let’s do it.
    0:02:24 Fantastic.
    0:02:25 So how do you pick a VC to work with?
    0:02:27 Like, why does the world need VCs?
    0:02:29 This was also a question that we got on Twitter.
    0:02:34 How are the VCs helping the world address the most urgent problems that the world has?
    0:02:35 Yeah.
    0:02:36 So it’s funny.
    0:02:40 So there was a time where the world needed VCs because the VCs had the money.
    0:02:44 And so if you needed to actually raise money, that was definitely the way to go.
    0:02:48 And that was kind of most of actually the first 30, 40 years of venture capital from
    0:02:51 kind of early 1970s to mid 2000s, I think was characterized by that.
    0:02:55 People will scarce the VCs had it and therefore you went to the VCs to get the money.
    0:02:56 Yeah.
    0:02:57 And so the banks wouldn’t lend it to you.
    0:02:58 That’s right.
    0:02:59 Yeah, definitely.
    0:03:00 Yeah.
    0:03:01 So I mean, think of it if we even back up a step, right?
    0:03:02 Think of VC almost.
    0:03:07 I think of it as it’s capital, it’s risk capital that kind of has to exist because there aren’t
    0:03:10 alternative forms of financing that will actually finance those types of businesses.
    0:03:11 So you’re right.
    0:03:15 You know, we do have these things called banks and they do things called loans.
    0:03:17 And there are plenty of businesses where people might say, “Hey, great.
    0:03:20 That’s a perfectly good way to finance the company.”
    0:03:24 The problem with loans is number one is obviously there’s some risky categories like startups
    0:03:26 in general that they generally don’t like.
    0:03:28 And then two is it’s not permanent capital, right?
    0:03:31 So the idea of a loan, of course, is you have it for a period of time.
    0:03:34 You pay some interest on it and then you got to obviously give it back.
    0:03:39 And the theory of VC financing is number one, to finance those very risky assets, but also
    0:03:42 to be able to kind of be what we call permanent capital in the business, right?
    0:03:44 So that you never have to give it back to me.
    0:03:48 I hope, of course, that you go public or something happens and I earn a return on that money,
    0:03:51 but you know, you don’t have to think, “Hey, five years from now, just when my business
    0:03:54 is starting to get going, do I have to kind of come out of pocket and basically repay
    0:03:55 that money?”
    0:03:57 Got it.
    0:03:59 So let’s follow the money trail.
    0:04:05 So if we need VCs to fund things that banks won’t fund, where do we get our money?
    0:04:09 So we are lucky enough to have what we call limited partners.
    0:04:12 And there’s a bunch of categories, probably the most prevalent and the easiest examples
    0:04:14 are university endowments.
    0:04:18 So we’re sitting here on Sand Hill Road, Stanford is just down the road from us.
    0:04:23 So Stanford has an endowment where graduates have over time given money to, and the goal
    0:04:26 of that endowment is how do I earn a return on that money?
    0:04:29 Because I need to be able to help subsidize the high costs of college education and make
    0:04:32 sure that the professors are all taken care of.
    0:04:37 And so they build a whole portfolio of which venture capital is one component.
    0:04:40 But venture capital is a very important component for them because it’s kind of their major
    0:04:43 high risk, high growth, high returning asset category.
    0:04:48 So if you look at Stanford, you look at Yale, what they’re saying is, “Hey, look, I need
    0:04:52 to earn 25%, 30% annualized returns on this money.
    0:04:55 Venture capital is one way where I can put a portion of my money there.”
    0:04:58 All they’d put some money in stocks and bonds and things of that sort as well.
    0:05:02 But basically, they effectively think of it as they lend us the money.
    0:05:06 We take that money, invest in great entrepreneurs like yourself, and then hopefully some years
    0:05:09 down the road, we give them the money back with some interest.
    0:05:14 And the surprising thing is that they have a pretty big stake in private equity and venture
    0:05:15 capital, right?
    0:05:16 Yeah.
    0:05:17 If they think about portfolio.
    0:05:20 If they think about their portfolio construction and sort of how much a Yale or Stanford would
    0:05:23 actually allocate to private equity.
    0:05:24 Yeah.
    0:05:27 So we talked about this a little bit in the book, but Yale was really kind of the founder
    0:05:30 of what a lot of people call kind of the modern endowment theory model.
    0:05:35 And the whole idea behind that is to have lots of different asset classes to provide
    0:05:36 diversity.
    0:05:38 And an asset class just means something to which you invest in, right?
    0:05:40 So it could be real estate.
    0:05:43 It could be literally like timber or oil and gas.
    0:05:44 It could be public stocks.
    0:05:45 It could be bonds.
    0:05:48 It could be venture capital and private equity, obviously, or a component of it.
    0:05:52 And what Dave Swenson, who’s the person who kind of has run the Yale endowment for I think
    0:05:57 almost 30 years now, his basic innovation was he said, “Look, if I could find places
    0:06:01 where there is imperfect information in the markets, there’s an opportunity for managers
    0:06:04 in those markets to hopefully earn excess returns that you otherwise might be able to
    0:06:07 earn if you’re just investing in public stocks.”
    0:06:11 And so he said, “Look, what people like Yale and other endowments have is we have the benefit
    0:06:15 of time,” which is the goal is for Yale to be existing in perpetuity.
    0:06:19 And every year, of course, he has to give some money to the university to kind of pay
    0:06:20 for annual expenses.
    0:06:26 But he’s got a $30 plus billion kind of endowment that can live for the next 100 plus years.
    0:06:30 And so that allows him to kind of invest in things like venture, which will take a long
    0:06:31 time for them to realize.
    0:06:36 But in return, that gives him exposure to hopefully imperfect markets that give him an opportunity
    0:06:39 for return that’s much higher than other assets.
    0:06:45 So he might have, for private equity and venture, venture’s probably almost 18, 20% of his assets.
    0:06:50 And then if you layer on other private assets, he probably has kind of 40 plus percent, maybe
    0:06:53 even 50% of his assets in the private markets.
    0:06:55 And that’s a little bit higher than others.
    0:07:00 But the idea is he’s just looking for abnormal returns, and he thinks the private markets
    0:07:01 is a great place to get it.
    0:07:02 Yeah.
    0:07:03 So 40% seems super high.
    0:07:08 That’s great news for an entrepreneur, because not only does David Swenson have a lot of
    0:07:12 Yale’s management money tied up in this asset class, but people who have emulated Yale’s
    0:07:15 portfolio strategy have also poured in money.
    0:07:18 And so as a result, you’re a direct beneficiary.
    0:07:19 That’s exactly right.
    0:07:22 David Swenson saying 40% of my money needs to go into private equity.
    0:07:23 Yeah.
    0:07:31 And there’s a historical anomaly here, which was before the kind of mid-1970s, institutional
    0:07:36 asset managers like Yale actually were prohibited from being able to invest in assets like venture
    0:07:38 capital that were considered too risky.
    0:07:42 And there were a lot of changes that came along the way, but basically there was this
    0:07:46 thing called the Prudent Man Rule, which came in and said, “Hey, we think it’s actually
    0:07:50 reasonable for pensions and other people to invest in these assets, as long as they do
    0:07:51 it, of course, in a reasonable way.”
    0:07:56 And that really opened up the floodgates in the mid- and late-1970s to venture in private
    0:07:59 equity as a broad institutional asset class.
    0:08:02 And you’re right, we’ve been the beneficiary of that for the past 40 years.
    0:08:03 Yeah.
    0:08:04 Great.
    0:08:05 So there’s a pull of money.
    0:08:11 David is chasing, and all the fund managers like David, is they’re chasing asset sort
    0:08:17 of outsized returns uncorrelated with public stock market or sort of other asset classes.
    0:08:18 So how does it work?
    0:08:21 How did the great venture funds make their money?
    0:08:24 And let’s talk a little bit about sort of batting average and slugging percentage.
    0:08:25 Yeah, sure.
    0:08:26 Yeah.
    0:08:29 So we use this baseball analogy inside the book.
    0:08:35 But the basic way to think about a venture portfolio is about half, 40% to 50% of what
    0:08:38 we do, we’re going to get wrong.
    0:08:41 And there’s this very euphemistic word that we have in this business, which I know you
    0:08:44 and I’ve talked about called, you have an impaired asset, which is a very polite way
    0:08:47 of basically saying you lost all your money, right?
    0:08:49 But it sounds much better to say it’s impaired.
    0:08:53 So you’ve got 40%, 50%, that’s for all intents and purposes is zero.
    0:08:55 And then you’ve probably got 20% to 30%, where you make a little bit of money, right?
    0:08:57 You might get your money back.
    0:09:00 You might make two times your money, three times your money.
    0:09:01 That’s a lot more fun.
    0:09:02 But if you do the math, right?
    0:09:07 If you’ve got 50% at zero and call it 30% at 2X, you can tell you’re still not even
    0:09:08 back to one yet, right?
    0:09:09 You’re still kind of…
    0:09:10 You’ve not filled the pothole…
    0:09:11 That’s exactly…
    0:09:13 …that you’ve created for yourself by wiping out 40% of your portfolio dollars.
    0:09:17 So basically what that means is the way this business works, the difference between success
    0:09:22 or failure in this business means you’ve got 10 or 20% left of your investments that need
    0:09:25 to basically generate 90% of your returns.
    0:09:31 And so you have to find a Facebook or a Google or a Twitter or an Instacard or Airbnb where
    0:09:35 you can earn 10, 20, 50, 100 times your money.
    0:09:37 So it’s a very kind of skewed distribution, right?
    0:09:40 So unlike kind of a normal distribution, right?
    0:09:44 Where things are kind of normally distributed around a bell curve, you will hear people
    0:09:47 talk about the concept of a power law curve for venture capital, right?
    0:09:52 Which basically just means you have very small number of N companies that will drive the
    0:09:56 very, very large portion of returns and then this very long tail, quite frankly, of companies
    0:09:59 unfortunately that won’t move the needle on your economics.
    0:10:00 Got it.
    0:10:03 So let’s turn that into concrete advice for me as the startup CEO.
    0:10:08 So what type of business is going to be attractive to somebody who’s optimizing their portfolio
    0:10:09 for sort of slugging percentage?
    0:10:11 Yeah, so that’s the right way to think about it, right?
    0:10:16 So what you as an entrepreneur need to understand is what are the incentives that I have based
    0:10:21 upon the incentives that my investors have given me, which is exactly that, which is to
    0:10:25 continue the baseball analogy, I need to swing for the fences, I need to try and hit a home
    0:10:26 run, right?
    0:10:30 And so for you to determine whether venture capital is right for you, you have to decide,
    0:10:31 okay, is that what I’m signed up for, right?
    0:10:34 Is there, is the market I’m going after big enough to be able to sustain a company like
    0:10:35 that?
    0:10:38 And then even if it is on a personal level, is that the kind of business you want to
    0:10:39 grow, right?
    0:10:42 So maybe you decide, hey, you know what, I can build a really nice business here and
    0:10:46 in two years, Google will come along and buy it for 30 or 40 or 50 million dollars and that’s
    0:10:49 a life-changing event for me and my family.
    0:10:51 And that’s a perfectly fine outcome.
    0:10:55 There’s no normative, you know, kind of reason why you shouldn’t do that, but that’s probably
    0:10:59 not the kind of alignment of interest that you would have if you took venture capital.
    0:11:02 The venture capitalists would probably be disappointed with that outcome and they would
    0:11:06 want you to kind of be playing for a much bigger opportunity and a bigger long-term vision.
    0:11:07 Got it.
    0:11:11 So the reason that they come to my board meetings and say faster growth, higher margins is right
    0:11:15 because they’re trying to get the company to be as valuable as possible because they
    0:11:20 need like a huge Facebook style return to cover up for all the mistakes they made.
    0:11:21 That’s exactly right.
    0:11:24 So, you know, unfortunately, we don’t necessarily know which of the companies at the beginning
    0:11:29 are going to turn out to be in that upper right quadrant of returns and so everything
    0:11:34 is kind of option value from a venture capitalist perspective and so they will be encouraging
    0:11:38 you to kind of try to ultimately find ways to get your company into that return profile.
    0:11:39 Okay.
    0:11:43 So it’s important for me to understand that as I go fundraising the VC, which is there’s
    0:11:47 going to be a situation where our interests don’t align if I don’t want to build one
    0:11:48 of these enormous companies.
    0:11:49 That’s right.
    0:11:50 Yeah.
    0:11:56 So, does it matter when I go raise money with a fund and here I want to talk about
    0:11:57 the J-curve, right?
    0:11:58 Sure.
    0:12:00 So maybe explain the J-curve and then let’s talk about whether it’s important that I
    0:12:01 understand that.
    0:12:02 Sure.
    0:12:05 So the J-curve, and you’ll see a beautiful picture of it in the book, is literally looks
    0:12:09 like a J, which means you basically kind of have this dip and then, you know, it comes
    0:12:10 up, right?
    0:12:15 And so the concept of the J-curve is that in the early years of a fund, we are investing
    0:12:16 money.
    0:12:20 And the faster, if you’re a limited partner in my fund, you have negative cash flow.
    0:12:23 So I’m asking you to give me money so that I can go and invest in what I hope is going
    0:12:26 to be the next Facebook or Google or Twitter.
    0:12:30 And so from your perspective, you are in the bottom shallow end of that J-curve where you
    0:12:32 are negative in terms of the cash.
    0:12:37 We hope after three, four, five years, you kind of cross the X-axis to start to generate
    0:12:39 positive returns from a cash perspective.
    0:12:45 So what that means is it’s mostly relevant for limited partners.
    0:12:47 It has probably less relevance for an entrepreneur.
    0:12:51 The only relevance for an entrepreneur is you want to have a general sense of where in the
    0:12:56 fund you are and the investor is when you take their money.
    0:13:00 So for example, if these funds tend to be 10-year lives, right?
    0:13:05 So at the early days of the fund, if I invest in you and then two years from now, you have
    0:13:08 to raise money again or four years from now, I probably still have some money left over
    0:13:12 in my fund because I’m at the relative early stages of the fund.
    0:13:16 Whereas, you know, if you come in and you’re five or six of my fund, I might have already
    0:13:20 invested 90% of the capital and so when your next round of financing comes up, maybe I’m
    0:13:21 out of money, right?
    0:13:25 And so the J-curve probably is less relevant for you, but this concept of kind of where
    0:13:29 are you in the time diversity of the fund is a relevant thing as an entrepreneur for
    0:13:33 you at least have a sense of so you know kind of how long staying the financial power might
    0:13:35 be of that venture partner.
    0:13:36 Got it.
    0:13:40 So sort of the further along you are, the more risky it is for me and that you might run
    0:13:43 out of money for my next round.
    0:13:44 That’s right.
    0:13:46 And then all the other investors will start asking, “Hey, why is Andries and Horowitz not
    0:13:47 filling up this round?”
    0:13:48 That’s exactly right.
    0:13:52 And hopefully if we’re doing our job well, we will raise another fund, right?
    0:13:56 So we might have money now from a new fund to invest, but you know, none of that’s guaranteed
    0:13:57 of course.
    0:14:01 And so it’s just something to think about, you know, kind of at the margin as you consider
    0:14:03 your venture partner.
    0:14:06 You get money from your limited partners like University Endowments.
    0:14:10 The general partners, do they also invest money in the firm?
    0:14:12 And do I need to know how much they’ve invested?
    0:14:13 Do I care?
    0:14:14 Yeah.
    0:14:15 Or do I not care?
    0:14:19 Yeah, I think to answer your second question, you know, I’m not sure you care that much.
    0:14:21 The general partners typically do invest.
    0:14:26 It ranges anywhere from, you know, on the low end, 1% of the fund will come from dinner partners.
    0:14:28 Some funds, it will be as high as 5%.
    0:14:29 So it’s meaningful.
    0:14:33 Again, it’s a little bit more the LPs care about it because they want to make sure, hey,
    0:14:37 you’ve got some kind of, you know, stake in the game here and you’re not, you know, just
    0:14:40 relying on other people’s money, but you also actually have, you know, kind of your own
    0:14:41 money at risk as well.
    0:14:46 And as funds tend to get older and more mature firms, I should say, and, you know, hopefully
    0:14:50 the partners have done well and they’ve accrued some financial profits themselves, then, you
    0:14:55 know, you tend to kind of see that 1% kind of shift up more over time as, you know, increasingly
    0:14:58 larger percentages of the, you know, financial well-being of those partners goes into the
    0:14:59 fund.
    0:15:00 Yeah.
    0:15:05 So in theory, a general partner who has, who has to fund 5% of a fund has more skin in
    0:15:06 the game.
    0:15:10 I’m saying, as an entrepreneur, I shouldn’t overweight that factor when I’m raising money.
    0:15:12 I wouldn’t overweight it too much.
    0:15:16 Number one, you certainly don’t, there’s no public place for you to find it, quite frankly.
    0:15:18 You can always ask your venture capitalist about it.
    0:15:21 You might be one of the few people, though, who’ve ever asked them that question.
    0:15:24 It does go, you know, I think where it’s relevant as an entrepreneur is it goes a little bit
    0:15:29 to kind of the staying power of the firm and how likely are they to be able to raise another
    0:15:30 fund, right?
    0:15:34 So the more the LPs feel like they’re aligned and, you know, kind of, you know, they have
    0:15:37 some skin in the game, the more likely, you know, of course, the LPs will also think this
    0:15:40 is a long-term partnership that we want to continue investing in.
    0:15:44 That’s probably, again, the only kind of potential, you know, impact as an entrepreneur that that
    0:15:47 piece of information might provide, you know.
    0:15:51 Now aside from how much of their own personal money they have in a fund, there’s also this
    0:15:57 notion you introduce in the book of GPs with economic interest only versus GPs with governance
    0:16:00 interest in sort of the management company around the fund.
    0:16:01 Does that matter to me?
    0:16:05 Do I need to pick only one or the other or am I indifferent?
    0:16:08 I think the most important thing, I think there is some relevance, but I’d say the most
    0:16:12 important thing is more of a meta point, which is, you know, you and I both come from the
    0:16:14 enterprise software world, right?
    0:16:18 And for any of your viewers here who are used to enterprise selling, there’s always this
    0:16:22 concept of enterprise selling of kind of, you know, who is your economic buyer, you
    0:16:26 know, who is your kind of champion, your sponsor, the organization, and, you know, ultimately
    0:16:27 who’s the decision maker, right?
    0:16:31 And so the way I would think about venture capital is in the same, was in the same way,
    0:16:34 which is there may be different partners who play different roles as it relates to your
    0:16:36 fundraising process.
    0:16:41 So ultimately part of your job is to map the firm and understand, okay, what is the decision
    0:16:42 making process?
    0:16:46 So at some firms, for example, maybe, you know, there are certain senior partners who always
    0:16:49 have to sign off on the deal to get something done.
    0:16:52 You know, here at Injuries and Horowitz, we do things differently, which is as long as
    0:16:57 people follow the process, you know, consistently, you know, any single general partner has the
    0:17:01 ability to ultimately make a decision to invest and go on the board of a company.
    0:17:04 But understanding that’s important, you know, understanding, kind of, you know, if there
    0:17:05 are differences.
    0:17:11 So some people, you know, kind of use the term general partner to encompass, you know, different
    0:17:15 job categories, you know, for example, here at Injuries and Horowitz, a general partner
    0:17:18 to us means you can write a check and you can sit on the board.
    0:17:22 And so if you understand that based on the different firms you’re acting with, you’ll
    0:17:25 understand kind of the selling process in a way that I think will make it more effective
    0:17:27 for you to try to close your deal.
    0:17:28 Yeah.
    0:17:29 So it is like enterprise sales.
    0:17:30 Yeah.
    0:17:31 To identify who you’re working with.
    0:17:32 Yeah.
    0:17:33 What budget do they have?
    0:17:34 Who owns the budget?
    0:17:35 That’s exactly right.
    0:17:36 Right.
    0:17:37 Yeah.
    0:17:39 Rather than sort of narrowly asking the question, do they have governance rights in the management
    0:17:40 company?
    0:17:41 Yeah.
    0:17:42 Yeah.
    0:17:43 Yeah.
    0:17:45 I mean, that’s more, quite frankly, sometimes, that’s more a symptom of how the firm is set
    0:17:46 up.
    0:17:49 But I think if you understand the decision-making process, then that will incorporate all the
    0:17:51 information you really need to know.
    0:17:57 And then comparing contrasts for me a little of the, I’m going to do Silicon Valley financial
    0:17:59 investors like us versus sort of other categories.
    0:18:04 So maybe talk a little bit about how our corporate venture capital general partner is
    0:18:06 incented and is it different?
    0:18:08 Like they probably don’t have limited partners, right?
    0:18:11 Because the capital probably comes from their corporation.
    0:18:15 And so what other incentive differences are there and how should I think about when do
    0:18:17 I put those guys on the cap table if ever?
    0:18:18 Yeah.
    0:18:20 So corporate venture capital actually over the years has grown a lot.
    0:18:23 So kind of, you know, it was never that prominent.
    0:18:26 I don’t know the exact numbers today, but something like 15, 20 percent of deals often
    0:18:27 have a corporate partner in them.
    0:18:30 So it’s grown a lot over the last 10 years.
    0:18:32 And so the answer to your question is, look, they vary a little bit.
    0:18:37 So some of them, you know, like a Google Ventures, for example, is a corporate VC.
    0:18:40 You know, Google is their only limited partner in that sense.
    0:18:41 And so, yeah, you’re right.
    0:18:42 They don’t have to go raise money.
    0:18:46 Some corporate venture firms do have some external LPs, but most of them are kind of
    0:18:49 captive to the corporation they do.
    0:18:52 So it does change the incentive structure for them, right?
    0:18:55 Because oftentimes they’re not purely financial investors, right?
    0:18:57 So they clearly don’t want to lose money, and they’d like to obviously earn a living
    0:18:59 on the profits from the business.
    0:19:03 But ultimately it’s a diversification strategy for the firm to say, hey, look, there’s new
    0:19:06 technologies that could come up and impact our business.
    0:19:09 This is a way for us to kind of keep an eye on that technology.
    0:19:13 Oftentimes it’s a pipeline for business development or even M&A opportunities.
    0:19:16 And so I think there’s good and valid reasons to take corporate venture capital.
    0:19:21 The big advice that we often give our companies is the thing you want to be careful about
    0:19:25 is you don’t want to sell your business to a corporate before you’ve actually received
    0:19:27 an acquisition premium for that.
    0:19:31 And what we mean by that is, right, if I allow them to invest at a point where they own so
    0:19:35 much of the company, that quite frankly it almost makes it impossible whether legally
    0:19:40 or just from an external perception perspective that nobody else could ever buy my business,
    0:19:43 you know, I’ve essentially kind of almost sold the company without quite frankly getting
    0:19:46 paid what you would expect to get paid for the company.
    0:19:51 So I think they can be great partners with kind of more limited economic interests.
    0:19:55 You want to make sure they don’t have any rights, right, that would kind of cause, again,
    0:20:00 other companies that might be interested in the company over time, either from a partnering
    0:20:03 or an acquisition perspective to kind of be scared away.
    0:20:06 But in that context, they can be very good partners.
    0:20:11 So in my seat as the startup CEO, it sounds like the optimal ordering if I’m trying to
    0:20:16 build like the biggest possible company that I can is try to find a financial investor
    0:20:20 first who doesn’t, who’s not trying to buy me, right, they’re just trying to give me
    0:20:25 fuel so I can build and then later maybe find a corporate investor or a set of corporate
    0:20:28 investors who can go together into a round.
    0:20:29 I think that’s right.
    0:20:33 Or I think the third alternative is you could couple a corporate investor with financial
    0:20:38 investors but probably just size them appropriately, right, where you might want to have the financial
    0:20:42 investor have a slightly bigger stake and, again, make sure that the corporate investor
    0:20:48 doesn’t have rights that might kind of deter future corporates from partnering or potentially
    0:20:50 being an acquisition partner.
    0:20:52 Keeps my flexibility as open as possible.
    0:20:53 That’s right.
    0:20:54 Option value high.
    0:20:55 Yeah.
    0:20:56 So, we let a question from Twitter.
    0:21:00 So what are the return on investment pressures and time horizons for corporate VCs and how
    0:21:02 do they differ from the ones you and I have at A16?
    0:21:03 Yeah, they’re definitely different.
    0:21:07 So the way ours work, right, just to understand it is, our funds tend to be about 10 years
    0:21:12 long, right, as you know, and to be successful in this business over the long term, you probably
    0:21:17 need to return two and a half to three times the money that the LPs give you over that
    0:21:18 10-year period.
    0:21:21 And 10 years is a little bit of an inside joke in this industry because actually even though
    0:21:26 funds legally are supposed to expire after 10 years, they often go 12, 13, 15 years.
    0:21:29 So let’s keep the fiction and stick with 10.
    0:21:33 So over 10 years, you know, we need to basically generate those kinds of returns.
    0:21:34 So it matters.
    0:21:36 It goes back to the question you and I talked about earlier.
    0:21:40 It matters a little bit about where are we in the fund when I invest in your company?
    0:21:45 Because again, if I invest in your company late in my fund cycle, I might have pressure
    0:21:49 to be able to kind of in a relatively short number of years before my fund expires to be
    0:21:50 able to show some results from that.
    0:21:52 And so that could have an impact.
    0:21:56 The corporate partners, corporate venture partners tend not to have those constraints
    0:21:59 because they don’t have to raise typically fund by fund.
    0:22:02 They typically just are investing often off the balance sheet of the corporation.
    0:22:06 And so therefore, arbitrary timelines are less relevant.
    0:22:09 And as we talked about earlier, they certainly have some financial pressures, right?
    0:22:13 I mean, I’d be hard pressed, you think, for a corporate VC to stay in business if they
    0:22:15 always lost money on their investments.
    0:22:19 But the primary goal in many cases is kind of not pure profit maximization, but strategic
    0:22:20 maximization.
    0:22:24 And so there’s other ways that they can effectively kind of generate a profit that don’t have
    0:22:28 the same kind of financial constraints that a pure financial investor would have.
    0:22:30 Got it.
    0:22:33 And then two more questions from Twitter to sort of round out this section of, you know,
    0:22:35 how do VCs work and how do I pick one?
    0:22:37 Here’s a question from Varun on Twitter.
    0:22:42 What’s the value of a specific advice and dedicated one-on-one help from a VC?
    0:22:44 Since like, look, you can crowdsource all this stuff, right?
    0:22:50 I can do a crypto IPO and then I can get some advice from Twitter and like, why do I need
    0:22:51 you?
    0:22:52 That’s right.
    0:22:53 Well, it’s funny.
    0:22:56 I talked about this in the book and you probably remember this quote, you know, our partner
    0:23:00 Mark has always kind of asked us the question, are we the last dinosaurs basically, right?
    0:23:03 So you know, we think we’ve got this incredibly advanced venture capital model and, you know,
    0:23:06 maybe we’re just about to, you know, kind of be extinct as well.
    0:23:07 The meteors are coming.
    0:23:08 That’s right.
    0:23:11 And so I think it does point to a very fundamental question that the, you know, the Twitter
    0:23:15 user is asking, which is, what is the role of venture capital, right?
    0:23:19 And so, look, my very simple answer is, you know, we used to live in a world as we talked
    0:23:22 about at the beginning here where the venture capitalists had the money and that was, you
    0:23:25 know, a very defined role they had, which is if you wanted the money, you had to go
    0:23:26 there.
    0:23:29 Today, look, money is, you know, we’re washing money, right?
    0:23:31 And there’s venture capitalists, there’s hedge funds.
    0:23:36 They’ll probably always be someone else who’s got more money than do we and a lower cost
    0:23:37 of capital.
    0:23:42 And so to me, the answer as to whether it’s ICOs or crowdfund or anything else, whether
    0:23:46 those exist and whether venture capital in its current incarnation exists, to me is really
    0:23:49 a function of whether venture provides something other than capital.
    0:23:52 And you know, obviously, you know, since you’ve been here since the beginning, you know, the
    0:23:57 whole way we set up entries in Horowitz, the way we did was to kind of invest in, you know,
    0:24:01 100 plus people in addition to our investing team who day in and day out think about how
    0:24:03 can we be valuable to our companies.
    0:24:07 And you know, my personal view and obviously we live this every day in the firm is, you
    0:24:12 know, for venture to be a viable entity for the next 10, 20, 30 years, capital loan is
    0:24:16 not a differentiator and, you know, we will all have to find other ways to provide value.
    0:24:22 And so I think to the, to the, you know, Twitter person’s question, he’s right, which is if
    0:24:23 we don’t do anything else, then you’re right.
    0:24:26 We’re no different than anyone else and you probably don’t need us and, you know, it’s
    0:24:30 incumbent upon us to demonstrate the way actually have some other form of value.
    0:24:31 Perfect.
    0:24:35 And then last question in this section, broad strokes, how does the VC game look different
    0:24:36 in 10 years?
    0:24:37 We’ve been doing it for 10.
    0:24:38 Yeah.
    0:24:39 Yeah.
    0:24:40 We’re looking forward to the next 10.
    0:24:41 Yeah.
    0:24:43 So I think if you look at the last 10, the biggest thing that happened was the introduction
    0:24:47 of SEED as its own kind of investable category.
    0:24:49 And you know, for people who are old enough to remember, you’ll remember these things
    0:24:53 called angels, which were actually people who wrote money out of their own checkbooks.
    0:24:57 You know, Ron Conway being a very famous one and even, you know, Mark Inves and Ben Horowitz
    0:25:01 before they started the firm here, we’re doing that on their own.
    0:25:03 That really changed the whole competitive dynamic.
    0:25:06 I think for the next 10 years, I think you have a couple things that are going to happen.
    0:25:10 Number one is, I think the competitive dynamic is going to continue to get even more challenging,
    0:25:13 partly because of this issue we talked about that money is not scarce, there’s plenty
    0:25:15 of availability capital.
    0:25:18 I think the other phenomenon we’ve seen, which I think is going to continue, is this idea
    0:25:21 of companies staying private much longer.
    0:25:24 And so it used to be that companies would go public six, six and a half years after
    0:25:25 they were started.
    0:25:26 Now it’s 10, 12 years.
    0:25:29 I don’t see any reason to believe that’s going to change.
    0:25:32 And I think the third big thing that we’re going to see over the next 10 years is more
    0:25:34 of a blending of private and public markets.
    0:25:38 So today you have this interesting dichotomy, which is you’re private, you’re private,
    0:25:41 you’re private and then we flip a switch and all of a sudden, you know, you’re public
    0:25:45 and you know, you have a stock price and you have new investors and, you know, we ring
    0:25:48 the bell at the stock exchange, all these fun things.
    0:25:52 I think there is a continuum that we’re already starting to see and I would expect over the
    0:25:57 next 10 years, you will see a more active secondary market, which means a resale market
    0:26:00 for private stock that happens in the private markets.
    0:26:03 But that is a little bit, you know, may have some elements of regulation, regulation might
    0:26:06 look a little bit like a public market, but not quite all the way there.
    0:26:09 And so that we have more of a continuum of a life cycle of companies as opposed to kind
    0:26:10 of this very sharp.
    0:26:11 This climatic event.
    0:26:12 Exactly.
    0:26:13 Right.
    0:26:14 The day of where everybody takes the pictures.
    0:26:15 Yeah, exactly.
    0:26:16 So yeah.
    0:26:17 All right.
    0:26:20 So hopefully that gives you a great sense of how venture capitalists work, what their
    0:26:25 incentives are, and this is going to help you pick the right venture capitalist for you
    0:26:30 if you decide venture capital is the right way to put money into your company.
    0:26:36 And now we’re going to move on to part two, which is about fundraising and actually getting
    0:26:38 and negotiating term sheets.
    0:26:41 So for those of you that will join us for part two, we’ll see you there.
    0:26:51 [BLANK_AUDIO]

    Incentives matter. So understanding the incentives of venture capitalists will help you decide if raising money from a venture investor makes sense for your business.

    In this first of a 3-part series, which originally aired as YouTube videos, a16z Managing Partner Scott Kupor talks with Frank Chen about how venture capital works: how the money flows, what Limited Partners (the organizations that invest in venture capitalists) are looking for, what differentiates the top investors, and what all of this means for an entrepreneur raising money.

    Want to learn more? Read Scott’s book ”Secrets of Sand Hill Road: Venture Capital and How to Get It” (https://a16z.com/book/secrets-of-sand-hill-road/).

    Stay tuned for parts 2 and 3.


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

    This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • a16z Podcast: Beyond Software, to Talent and Culture

    AI transcript
    0:00:05 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice or be used to evaluate any investment or security and is not directed
    0:00:14 at any investors or potential investors in any A16Z fund.
    0:00:18 For more details, please see a16z.com/disclosures.
    0:00:23 Hi everyone, welcome to the A6NZ podcast, I’m Sonal.
    0:00:28 So this week, to continue our 10-year anniversary series since the founding of A6NZ, we’re
    0:00:33 actually resurfacing some of our previous episodes featuring founders Mark Andreessen
    0:00:34 and Ben Horwitz.
    0:00:38 If you haven’t heard our latest episode with Stuart Butterfield turning the tables as the
    0:00:42 entrepreneur interviewing them, please do check that out and our other episodes in this
    0:00:46 series on our website at a6nz.com/10.
    0:00:52 But this episode was recorded at our Innovation Summit in 2018 and features economist Tyler
    0:00:57 Cowan interviewing them about everything from their partnership and how it works to
    0:01:01 talent, tech trends, and software eating culture.
    0:01:02 Thank you all for coming.
    0:01:06 I’d like to start with the two of you as a couple.
    0:01:07 Oh yeah.
    0:01:10 How was it you met at Netscape in 1995?
    0:01:13 Well, Mark interviewed me way back then and he interviewed me.
    0:01:18 I think I was interviewing for product management role and he was the founder of the company
    0:01:24 and I had worked on a product called Lotus Notes and Mark had a fascination with Lotus
    0:01:26 Notes for a couple of reasons.
    0:01:31 One was it was kind of sort of the closest proprietary thing to the internet and then
    0:01:35 they had email in it and Netscape was looking at doing email.
    0:01:40 So he had all kinds of questions for me and I remember him just being absolutely shocked
    0:01:46 and flabbergasted that like 50% of our code base and Lotus Notes was just making like
    0:01:52 all the LAN protocols work together, IPX and Apple Talk and Net Buoy, Net Bios.
    0:01:55 You guys don’t even know what any of that is anymore.
    0:01:59 He was like literally just making the network talk to each other, which he thought was like
    0:02:02 ridiculous given there was TCP/IP.
    0:02:04 That was the very first conversation we had.
    0:02:06 Mark, how did he do in the interview?
    0:02:07 He did very good.
    0:02:08 He did very good.
    0:02:10 So he had a giant asset.
    0:02:12 He was the first employee from Lotus.
    0:02:15 So he looked great in comparison to all the ones we haven’t seen before.
    0:02:18 No, he did great.
    0:02:20 He was super knowledgeable and actually it was actually a really big deal at the time
    0:02:25 because Lotus Notes was a big thing at the time and what Ben just alluded to in the architecture
    0:02:28 like it just basically assumed that the internet was not going to work, which was the dominant
    0:02:29 assumption at that time.
    0:02:32 It’s kind of how the whole thing was built and then most of the people working on it
    0:02:35 I think probably agreed with that.
    0:02:37 There were many, many arguments that the internet couldn’t possibly do what a system like Lotus
    0:02:38 Notes did.
    0:02:41 So Ben was, I would say, young enough and smart enough and knowledgeable enough to figure
    0:02:46 out very early among his cohort of kind of the professionals in the space that it actually
    0:02:51 was going to happen a different way and so we were a little fly by night startup.
    0:02:53 So we fast forward to 1999.
    0:02:55 You two do loud cloud together.
    0:02:56 Why?
    0:02:57 How’d that happen?
    0:03:01 Well, so the big thing basically that happened was so it turns out the internet worked, which
    0:03:03 turned out to be a big deal, go figure.
    0:03:06 And then basically what happened was basically people were unprepared for the internet to
    0:03:10 work at some fundamental level and then we saw a very specific kind of version of people
    0:03:14 being unprepared for that, which is we sold Netscape in 1998 to AOL and so Ben and I and
    0:03:17 a bunch of us were working at AOL and then AOL had this thing at the time.
    0:03:22 AOL was a little bit like the Google of the era or something where they had like a firehose
    0:03:25 of traffic that they could basically steer wherever they wanted to steer it.
    0:03:27 And so if you went on AOL and you typed in by clothes.
    0:03:29 Half the traffic on the internet went through AOL.
    0:03:30 I remember that.
    0:03:31 It was a really big deal.
    0:03:32 Not my half, by the way.
    0:03:33 Yeah.
    0:03:34 But that’s a lot, still.
    0:03:35 Half.
    0:03:36 That’s right.
    0:03:37 And then by the way, almost all consumers, right?
    0:03:38 Almost all consumers were on AOL at the time.
    0:03:43 So you type in by clothes on AOL and then they would sell to like J Crew or Gap or whatever
    0:03:44 that slot.
    0:03:48 So basically what happened is that advertising business and then AOL would turn on that ad
    0:03:52 and then basically the firehose of traffic would just blast the website to bits, right?
    0:03:56 If it was J Crew, they just blasted the J Crew website to bits and then the J Crew people
    0:03:58 would spend weeks trying to get the website to work to actually take advantage of all
    0:03:59 this traffic.
    0:04:03 And so it was sort of, you know, it just seemed kind of obvious that we, you know, we were
    0:04:05 kind of in this business and so you go talk to the people running these things and they
    0:04:09 just, they didn’t, they were just unprepared for this kind of sophistication.
    0:04:13 And so we sort of incubated this idea that, boy, what if there was a cloud, right?
    0:04:17 What if basically there was a system in which you could take your content and all your apps
    0:04:19 and you could run them and it could handle the load and you could, you know, it could
    0:04:23 load balance and it could spike up in response to demand and then all these companies, instead
    0:04:25 of being in the business of running all your own stuff, like why can’t you just hand it
    0:04:26 over to the pros?
    0:04:29 And so, and then this is in the full flush of the dot com boom.
    0:04:31 So it just seemed like an obvious opportunity.
    0:04:36 And so 2009 comes along and why is it it seems to you both then that’s the right time for
    0:04:38 a new venture capital firm?
    0:04:39 What was the thought?
    0:04:44 Well, you know, it was really one of those ideas that just came out of our experience.
    0:04:49 You know, we were customers of venture capital and, you know, we had a couple of observations.
    0:04:53 One was, you know, we had noticed over the years and Mark really made the observation
    0:04:59 first that most of the really great companies, like forget about successful, but like great
    0:05:02 companies, companies you admire and tech were all run by their founders for a very long
    0:05:03 time.
    0:05:10 Like Thomas Watson at IBM or Dave Packard, Bill Hewlett at Hewlett Packard or, you know,
    0:05:16 Bill Gates or whoever it was, all the really giant successes were run by their founders.
    0:05:20 And the conventional wisdom and venture capital was set up to replace the founder.
    0:05:25 And then in our own experiences as technical founders, we knew why that was true because,
    0:05:30 you know, well, if you just took, you know, loud like nobody would have ever been able
    0:05:32 to fix loud cloud other than us.
    0:05:36 Like there was no way you could bring in a professional to do that.
    0:05:39 And so getting to that next product after you get the first product, getting to the
    0:05:43 next product market fit required an innovator.
    0:05:46 And so if you wanted subsequent product cycles, you needed the founder.
    0:05:50 And so we just thought there ought to be a firm that is designed to do that.
    0:05:53 And what is it that the two of you figured out?
    0:05:56 What is it you two understood that other people didn’t?
    0:05:57 And how would you articulate that?
    0:06:01 You know, like we were just, there was a bunch of things.
    0:06:02 One differentiation.
    0:06:06 So like we came from a company, so we’re like, first we’re going to tell a very clear
    0:06:09 sharp story about a real network that we’ve built out systematically.
    0:06:13 We’ve got people who are going on your board who know exactly how to build companies.
    0:06:17 So sometimes it feels to some people, there’s a lot of money running around, but talent
    0:06:18 is quite scarce.
    0:06:22 What is it that you two in the company as a whole have understood about talent search
    0:06:23 that other people have not?
    0:06:26 So we actually thought of it as a talent business.
    0:06:30 And a lot of the reason for that is, you know, a friend of ours, Michael Ovitz, who founded
    0:06:33 the talent agency, CAA, was a board member of ours at Opsware.
    0:06:41 And you know, he always thought about talent in amazing detail and like, in incredibly
    0:06:46 specific and one of his biggest concepts about it was, it was a network.
    0:06:50 And you had to run the, and it seemed simple, oh, it’s a network, okay, great.
    0:06:52 But like, how do you build that network?
    0:06:53 How does it work?
    0:06:56 How do you take a long view of the relationships with the talent?
    0:07:03 So you know, we really thought out very early on, we’re going to invest heavily in building
    0:07:09 this network and having the time, the luxury of time to build real relationships as opposed
    0:07:13 to transactional relationships with every single person that we run into, be they an
    0:07:18 engineer, an entrepreneur, a corporate partner, or whomever.
    0:07:21 And that all kind of came out of this original CAA concept.
    0:07:26 If you take a long view of relationships, you can build a network that’s so powerful
    0:07:27 that nobody will ever be able to match it.
    0:07:30 And that was kind of the original inspiration.
    0:07:35 And we were fortunate enough to just hire a really astoundingly good team to help us
    0:07:36 do that.
    0:07:38 And Mark, how do you think about talent assessment?
    0:07:41 So I think, you know, the other side of it is just the entrepreneur assessment, right?
    0:07:44 And so it’s just one of those things where, you know, there is kind of this fundamental
    0:07:47 question of kind of how extreme are you willing to get, right, with some of these people, right?
    0:07:52 Because you know, the kinds of people who start these companies are not normal.
    0:07:55 And we can say that speaking from experience, having done it ourselves.
    0:07:58 And so, and I would actually go so far as to argue, like, it may be that the founders
    0:08:02 are getting less normal as sort of society gets, let’s just say, more interesting in
    0:08:03 recent years.
    0:08:06 And so, you know, the ideas are getting bigger, the technologies are getting more disruptive,
    0:08:09 the companies that win are getting much larger, technology is more central in everybody’s
    0:08:10 lives.
    0:08:11 By the way, there’s more competition than ever.
    0:08:12 There are more tech startups than ever.
    0:08:16 And so the kind of very special person who’s going to conceive of an original idea and
    0:08:19 then be able to build a team and be able to prosecute the idea is going to be a very extreme
    0:08:20 person.
    0:08:24 And so a lot of it is sort of this, you know, the discovery and then partnering with these
    0:08:25 really extreme people.
    0:08:28 I’m going to throw out a few questions about particular technologies.
    0:08:33 And either of you feel free to answer blockchain, what will be the breakthrough application
    0:08:34 for blockchain?
    0:08:35 I’ll take that.
    0:08:38 So first of all, like asking what the killer app is, nobody ever gets it right.
    0:08:42 Like I remember the internet killer app, it was never Facebook, that’s for sure.
    0:08:48 But the way that we think about blockchain technology is that it’s a new computing platform.
    0:08:54 And like other new computing platforms that preceded it, it’s worse in every way, but
    0:08:56 really a very few ways.
    0:09:00 So if you think about the smartphone, when it came out, it was much worse than the PC
    0:09:02 at a tiny screen.
    0:09:05 It was far less powerful, et cetera, et cetera.
    0:09:08 People were like, how am I going to run my spreadsheet on that little ass screen?
    0:09:11 Like there’s no way it’s going to work.
    0:09:13 But I had a couple of properties that you didn’t have in the PC.
    0:09:14 It had a GPS.
    0:09:15 It had a camera.
    0:09:17 And so you can now build things like Lyft.
    0:09:21 You can now build things like Instagram that you could never build on a PC, and you still
    0:09:22 can’t build on a PC.
    0:09:26 And it created a whole new world of applications.
    0:09:27 Blockchain is like that.
    0:09:28 It’s slower.
    0:09:29 It’s harder to use.
    0:09:30 It’s harder to program.
    0:09:34 But it has a new feature, and that feature is trust.
    0:09:39 And trust is really, really an interesting feature because it means that you don’t have
    0:09:45 to trust the government or a corporation or your lawyer.
    0:09:50 You just have to trust the mathematical properties and the game theoretic properties of the system,
    0:09:51 and then you can do things.
    0:09:56 And it opens up applications such as you can program money.
    0:09:59 You can program contracts.
    0:10:03 You can create digital property, which is, you know, if you just think about the art
    0:10:07 world, it’s an amazing kind of world, and it’s all virtual value.
    0:10:13 You know, Bosque, it’s $150 million, but like the canvas is probably less than $5.
    0:10:16 But because you know that it’s one of one, it’s got value, well, you can now do that
    0:10:17 digitally with blockchain.
    0:10:19 So there’s those kinds of things.
    0:10:21 And then you don’t have to trust companies.
    0:10:25 So if you’re a developer and you’re building an application, you know, you don’t have to
    0:10:28 trust Facebook to not go, well, like, you know, we decided, like, we’re changing our privacy
    0:10:29 policy.
    0:10:30 You can’t run anymore.
    0:10:33 Or if you’re a consumer, you don’t have to say, OK, like, I’ve got to trust you with
    0:10:34 my data.
    0:10:38 So that property of trust, we think, is very, very powerful, and there is a large set of
    0:10:40 applications that will come off of that.
    0:10:44 But you know, like, it takes a while for developers to get used to it, for the technology to
    0:10:45 mature and so forth.
    0:10:48 But it’s one of the things we’re most excited about.
    0:10:52 Paint a picture for me 15 years from now.
    0:10:53 Retail and wearables.
    0:10:57 What will tech do for me in those areas that it’s not doing right now?
    0:11:00 So I think retail will basically be gone by then.
    0:11:01 I mean, so.
    0:11:02 Gone?
    0:11:03 I can’t go to the shopping mall anymore.
    0:11:04 Who wants to go to the shopping mall?
    0:11:05 I want to go to the shopping mall.
    0:11:06 Oh, you can go.
    0:11:07 OK.
    0:11:09 They’ll have special preserved shopping malls.
    0:11:10 OK.
    0:11:11 For the people.
    0:11:12 You’re in Washington, DC.
    0:11:13 The Smithsonian.
    0:11:14 You’re in DC.
    0:11:16 The Smithsonian will have a shopping mall that you can visit.
    0:11:22 In fact, you can drive there on a special road for your non-self-driving car.
    0:11:27 So, and tie your horse up out back.
    0:11:32 So, I mean, look, there will be, the term is experiential retail.
    0:11:33 So like, experiences.
    0:11:36 Like, if it’s, look, I mean, if it’s like a Gucci boutique, and it’s a whole experience
    0:11:39 to go there, or it’s an Apple store, or it’s a, you know, it’s got something where it’s
    0:11:42 like there’s like real magnetic appeal to the experience, then fair enough, right?
    0:11:43 And there’s, there’s actually a bunch of companies we’re involved in that are doing
    0:11:44 things like that.
    0:11:48 But like, you know, the idea of we’re going to buy a bunch of stuff that other people
    0:11:51 make, and we’re going to put it in a big box, and then we’re going to make everybody
    0:11:52 drive to the big box.
    0:11:53 Like, the problems with that are kind of twofold.
    0:11:57 Number one is consumers don’t actually want, what you want is you want the Star Trek replicator,
    0:11:58 right?
    0:12:00 Like, what you want is like, you press the button and like, there’s my stuff, right?
    0:12:01 Like, it worked great on Star Trek.
    0:12:02 We don’t have that yet.
    0:12:03 Like, we don’t quite have that.
    0:12:06 We don’t actually have the materializer yet, but we do have the ability to press the button
    0:12:07 and stuff gets dropped off.
    0:12:11 So, and the logistics infrastructure to support delivery is getting built up, right?
    0:12:12 Very rapidly now.
    0:12:15 And so, I think the consumer behavior is cutting over quite quickly.
    0:12:18 And then the other problem is just kind of traditional, let’s say, third-party retail
    0:12:21 where you’re not selling your own product, you’re selling somebody else’s product is,
    0:12:24 you just can’t, basically, you’re levered as a retailer, right?
    0:12:27 You basically live on the basis of credit from the suppliers.
    0:12:29 And the problem with that, so you’re kind of like an overlevered bank in a lot of ways.
    0:12:33 And so, the problem with that is you loot, there’s basically no retailer of other people’s
    0:12:36 products where they could lose 30% of their revenue and then they stay in business.
    0:12:39 Which is why you see these retailers just going bankrupt like all the time, right?
    0:12:43 It’s like, Toys R Us was the most recent big one, like, it detonated and then it detonated
    0:12:45 so hard that it actually went into full liquidation, right?
    0:12:48 Which everybody thought, obviously, it’s Toys R Us, like, people love toys.
    0:12:53 Like, obviously, somebody was going to buy Toys R Us and there was just no way to make
    0:12:54 the math work.
    0:12:57 And so, I just think it’s an overlevered business and that part is going to go down.
    0:13:00 Now, what it’s going to do is very interesting, it’s going to open up all the space, right?
    0:13:04 And so, there’s a whole revitalization of physical environments that’s going to happen,
    0:13:05 right?
    0:13:07 Including, you know, you see that happening already in cities, but I think it’s going
    0:13:10 to happen all over the place because a lot of this space is going to open up for, let’s
    0:13:11 say, more interesting uses.
    0:13:15 So instead of going shopping, I’m going to do something with my wearables.
    0:13:16 And what will that be?
    0:13:17 What’s the potential in wearables?
    0:13:21 I think the really big one right now is I think audio, you know, audio is on the rise,
    0:13:22 just generally.
    0:13:24 And particularly Apple, you know, with the AirPods is just, I think, hit an absolute
    0:13:25 home run.
    0:13:28 It’s one of the most deceptive, you know, things is it’s just like this little product
    0:13:31 and like how important could it be and I think it’s like tremendously important because
    0:13:34 it’s basically just like a voice in your ear anytime you want.
    0:13:36 And so, you have, well, I’ll just give you one random example.
    0:13:39 There are now these YouTube, you know, there’s these kind of new kinds of YouTube celebrities
    0:13:41 and everybody’s kind of wondering like, what, you know, where are people getting all this
    0:13:44 spare time to like watch all these YouTube videos and listen to all these YouTube, you
    0:13:47 know, people, you know, in the tens and tens of millions and the answer is like they’re
    0:13:48 at work.
    0:13:49 Right?
    0:13:54 They’ve got like, they’ve got like a Bluetooth thing in their ear and they’ve got a hat,
    0:13:55 right?
    0:13:56 That’s 10 hours on the forklift, right?
    0:13:57 10 hours of Joe Rogan, right?
    0:13:59 And so, like, that’s a big deal.
    0:14:03 It’s a voice in your ear all the time and then, of course, speech as a UI is rapidly
    0:14:04 on the rise.
    0:14:07 And so I think audio is going to be, you know, titanically important.
    0:14:10 I would say the second thing I nominate for wearables is just generally the concept of
    0:14:11 sensors on the body, right?
    0:14:14 And so here the Apple Watch is clearly out in the lead with what they’re doing with
    0:14:18 the heartbeat sensor, but I think we’ll have a full complement of medical grade sensors,
    0:14:22 you know, on our bodies in a way that we have chosen to over the next five or 10 years.
    0:14:24 And I think we’re, I think we’ll get to the point where we’re going to be able to do things
    0:14:26 like predict heart attacks and strokes before they happen.
    0:14:29 But I think it’s like, I mean, talk about, like, talk about a killer app.
    0:14:33 Like, I’m going to have a, beep, I’m going to have a heart attack in four hours.
    0:14:34 Maybe I should drive to the hospital.
    0:14:37 The survival rate for heart attack in the hospital is like 99%.
    0:14:39 The survival rate for heart attack at home is like 50%.
    0:14:43 Like, there’s an opportunity for like a massive increase of quality of life with the sensor
    0:14:45 platforms people are going to have.
    0:14:47 And then I think, I think optics are coming, right?
    0:14:49 And it’s going to be a long road, but I think AR and VR are both going to work.
    0:14:53 And I think they’re, I think we’re going to have heads-up displays that are, that honestly
    0:14:55 are going to remove the need to, you know, what we have now, which is kind of this little
    0:14:58 pane of glass that we’re expected to kind of experience the whole world through, right?
    0:15:00 The whole world’s going to open up around us.
    0:15:03 What are we, what are we going to do with augmented reality and virtual reality?
    0:15:05 So I’m big believers in both.
    0:15:09 I think AR has, you know, tons of potential applications both working at home.
    0:15:10 We can spend a lot of time on that.
    0:15:13 I think VR is going to be like a thousand times bigger in the valley right now.
    0:15:16 This is a very contrarian view because I’ll, the general kind of theme that you hear in
    0:15:18 the valley is AR is going to be bigger than VR.
    0:15:22 And it seems like obviously AR should be bigger than VR because obviously if you can do things
    0:15:26 overlaid on the real world, that should be sort of inherently more interesting than having
    0:15:28 to construct sort of a synthetic world.
    0:15:31 I just think that that’s only true for people who live in a very interesting place in the
    0:15:34 real world, which we all do.
    0:15:38 But you know, only, you know, something between like point 1% and 1% of people on earth live
    0:15:41 in a place where it’s like they wake up every morning and they’re like, wow, there are so
    0:15:42 many interesting things to see, right?
    0:15:45 Like most people don’t live in a place like that, right?
    0:15:50 And so for everybody who doesn’t already live on a college campus or in Silicon Valley or
    0:15:53 in a major city, the new environments we’re going to be able to create in VR are going
    0:15:56 to be inherently much more interesting, right, than the physical environments.
    0:15:58 And there’s going to be a lot more of them to choose from.
    0:16:00 And so it’s going to be amazing.
    0:16:03 Ben, there’s a tweet I’ve been dying to ask you about.
    0:16:10 There’s two types of people in this world, fresh prince of Bel Air people and Martin people.
    0:16:13 I’m a Martin person for what it’s worth.
    0:16:14 Who’s Martin?
    0:16:15 That’s funny.
    0:16:17 I think Nate wrote that tweet and I replied to it.
    0:16:23 So there were two kind of major African-American television shows on in the early nineties.
    0:16:28 The Fresh Prince of Bel Air, which was based on a rapper known as the Fresh Prince and his
    0:16:31 DJ, DJ Jazzy Jeff.
    0:16:33 The Fresh Prince was actually Will Smith.
    0:16:35 Him I know, but the Martin is what puzzled me.
    0:16:42 Martin is Martin Lawrence, who is a comedian, a genius comedian who is also incredibly crazy.
    0:16:44 So crazy that his special was called You So Crazy.
    0:16:48 He’s just like a very, very crazy guy.
    0:16:53 But Fresh Prince of Bel Air was kind of like the hood Beverly hillbillies.
    0:16:57 It’s kind of like, you know, you get the black people from the inner city and you put them
    0:17:02 in Beverly Hills and it’s kind of funny and it’s safe for, you know, everybody.
    0:17:03 There’s nothing too itchy.
    0:17:05 You know, they keep it kind of easy.
    0:17:11 And whereas Martin was like just full out, like Martin was like actually the hood and
    0:17:13 he was nuts and like the whole thing was great.
    0:17:15 And so that was my show.
    0:17:16 Now it makes sense.
    0:17:22 Could you recommend a rapper for people who think they do not like rap music?
    0:17:23 Will Smith.
    0:17:24 Will Smith.
    0:17:26 The Fresh Prince of Bel Air.
    0:17:28 And does Mark like Will Smith?
    0:17:29 I don’t know.
    0:17:31 Fire of Spotify tonight.
    0:17:38 Mark, if we think about television as presenting conceptual material to us and every now and
    0:17:41 then you’ll watch TV shows.
    0:17:45 What’s a TV show you’ve been watching lately that has a lesson in it about venture capital
    0:17:47 and what’s that lesson?
    0:17:48 Can I name three?
    0:17:49 Three, yes.
    0:17:50 I watched a lot of TV.
    0:17:53 Halt and Catch Fire, which actually recently ended after four seasons.
    0:17:56 Halt and Catch Fire, when it came out, it came out right after Mad Men and it came out
    0:17:58 as kind of people were like, well, it’s kind of like Mad Men, but it’s like much more of
    0:17:59 like a pot boiler.
    0:18:02 It’s like super like dramatic and they’re like, it’s just all the emotionality of it.
    0:18:06 Like, you know, it’s about this creation of basically it’s about the creation of a compact,
    0:18:10 the PC company in the early 80s, it’s a thinly bailed kind of starts out kind of with that,
    0:18:11 the birth of the PC.
    0:18:14 And so all the critics were like, well, this is like too dramatic.
    0:18:18 And like Ben and I watch it and we’re like, you know, no, that’s, it’s about right.
    0:18:19 Exactly.
    0:18:21 It was like literally going back in time.
    0:18:22 It was like.
    0:18:23 It’s exactly right.
    0:18:25 And it really is like that dramatic and that stressful and that crazy.
    0:18:28 And so especially the first season of that show, I think it’s the most accurate portrayal
    0:18:31 of what a tech startup is actually like that’s ever been aired.
    0:18:32 So that’s one.
    0:18:36 Another one that I really like for founders to watch and they always think I’m crazy,
    0:18:37 but I really, really believe this.
    0:18:42 There was a, there was a great show on USA years ago called Burn Notice, which is a
    0:18:43 very fun show.
    0:18:47 It was about a spy who’d gotten burned, a CIA spy who’d gotten burned and had a whole
    0:18:50 of Miami try to clear his name and he took on all these odd jobs.
    0:18:51 So fairly normal setup.
    0:18:54 The conceit of the show was though, he had every conceivable skill you could possibly
    0:18:55 have.
    0:18:56 Right.
    0:18:57 And so he knew how to make like explosives out of bleach.
    0:19:00 Like he knew how to like, you know, I don’t know, like disarm somebody with a mop handle.
    0:19:04 Like whatever circumstance he was in, he had the, and then there was a voiceover or he
    0:19:05 would explain to you.
    0:19:06 And you haven’t hired him yet.
    0:19:09 Well, we would love to hire him, but basically, I look at him and it’s like, that’s kind
    0:19:10 of, that’s a good founder.
    0:19:14 Like a good founder has to basically have every conceivable skill.
    0:19:16 Like you basically have to be good at product development and at marketing and at sales
    0:19:21 and at finance, legal and at HR and management and, you know, on and on and on and on.
    0:19:24 And there really is no substitute for actually being good at all these things.
    0:19:26 And so I like that one.
    0:19:31 And then the third one is succession, which I just finished, which is one of the darker
    0:19:33 and funniest things I’ve ever seen.
    0:19:37 Let’s just say it’s a, it’s inspiring for founders because it, I think, pretty accurately
    0:19:42 shows the dysfunction at, let’s say, certain kinds of larger companies.
    0:19:46 It’s a show about a succession battle at a major media company and I can’t recommend
    0:19:49 it highly enough if you’ve got the stomach for bad words.
    0:19:54 So Ben, the company is starting something called a cultural leadership fund.
    0:19:58 What are the strengths and weaknesses of applying the venture capital model to culture and
    0:19:59 entertainment?
    0:20:02 Well, I think we’re trying to apply culture to the venture capital model.
    0:20:04 So it’s a little bit the opposite.
    0:20:07 Like, you know, you know, back to your earlier question, you know, we really pride ourselves
    0:20:13 on being able to understand talent and talent of all kinds.
    0:20:18 And you know, one of the things we did very early is we built a lot of relationships with
    0:20:23 geniuses at moving culture and we thought this was important because as tech was moving
    0:20:29 into much more kind of consumer oriented field when we started the firm, that the people
    0:20:35 who really knew how to change and create new consumer behaviors would be interesting.
    0:20:40 So we, you know, had relationships with all these cultural geniuses like Quincy Smith and
    0:20:46 Sean Puffy Combs and Nas and so forth, but we were doing it kind of fairly one-off and
    0:20:51 we thought, you know, it would be really great, you know, and it was a great advantage for
    0:20:52 us.
    0:20:55 And Oprah had one of our entrepreneurs on her favorite things show, but we thought, you
    0:20:59 know, it was a good thing to share with the rest of the industry.
    0:21:04 And so we would have these cultural geniuses, but you know, geniuses, but who didn’t look
    0:21:08 like the geniuses, our guys were used to like, you know, Mark Zuckerberg or Brian Chesky.
    0:21:13 They kind of felt different, but our guys were interested in working with them.
    0:21:14 So we put them together.
    0:21:18 They get to know each other, which has got value on both sides.
    0:21:24 And it also gives a lot of value to our CEOs because not only do they get to kind of learn
    0:21:27 how to move culture, but they also get to learn about how a different kind of talent
    0:21:33 looks like, which is very, very valuable when you’re kind of in the war for talent.
    0:21:38 And then we invested back in kind of young African Americans who are wanting to come
    0:21:39 into tech.
    0:21:44 So we created talent pipeline with the fund and we have straight access to the pipeline.
    0:21:49 So I would just say we get a lot of credit for being nice, but we’re really just winning.
    0:21:50 So it’s gone great.
    0:21:51 It works well.
    0:21:56 And look, you know, the main thesis is, you know, if you’ve got like a very small group
    0:22:01 of people that created every new musical art form in the last century from jazz to blues
    0:22:05 to hip hop to rock and roll, you know, like that’s a real thing.
    0:22:06 Like to be able to do that.
    0:22:12 And that’s a real talent base that, you know, we need to figure out how to get to.
    0:22:14 And we’re here in Los Angeles.
    0:22:16 We’re very close to Hollywood.
    0:22:21 What is it conceptually that Hollywood grasps about venture capital and talent identification
    0:22:23 where Silicon Valley lags behind?
    0:22:27 Well, I think that, you know, I just think of their different kinds of talent.
    0:22:32 So and this is the thing that I think people make a mistake on when they think about, you
    0:22:37 know, how diversity works or how inclusion works and so forth is there’s talent that
    0:22:38 looks different.
    0:22:41 And then if you don’t have that talent, you might not be able to see it.
    0:22:46 And so, you know, in Hollywood, they see certain kinds of talent that they’re used to because
    0:22:51 they know what that is, they know how it pops on screen, they know how like people emotionally
    0:22:52 connect to it.
    0:22:56 And then in Silicon Valley, we know another kind of talent, you know, a talent for like
    0:23:00 systems thinking and engineering and this kind of thing.
    0:23:04 But both are very valuable when you put them together in a company.
    0:23:09 And so I think that, you know, in these endeavors, what we try to do is to see talent that we’re
    0:23:10 not.
    0:23:11 And it’s not an easy thing to do.
    0:23:15 And there’s a story I tell that Margaret had in her profile.
    0:23:18 One of the things she looked at in her employees was helpfulness.
    0:23:23 And when I saw that, it shocked me because I had been managing for like nearly 30 years
    0:23:27 at the time and I’d never interviewed anybody on that.
    0:23:28 I couldn’t even see it.
    0:23:33 Like, there’s a thing that’s an important talent, very important talent to a services
    0:23:36 firm like ours that I couldn’t even see.
    0:23:38 So how am I going to hire it if I can’t see it?
    0:23:42 And so we spent a lot of time at the firm trying to see talent that’s not like us.
    0:23:46 I’d also for a good, the LA effect we’re down here.
    0:23:51 So I think it’s also very interesting time because, you know, for basically from when
    0:23:55 I entered tech in the early 90s up through call it maybe 2012, 2013, it was just kind
    0:23:59 of taken as a given that the Silicon Valley companies were never going to figure out culture
    0:24:00 and never going to figure out content.
    0:24:03 And it was also taken as a given that the media companies were never going to figure out tech.
    0:24:05 And there were tons of attempts to kind of cross over, but they basically didn’t, none
    0:24:06 of them worked.
    0:24:09 And it really isn’t the last like three years it feels like.
    0:24:13 It feels like a bunch of the Valley companies are really starting to decode culture, but
    0:24:16 to the big, I mean, Netflix being Netflix sort of, you know, sort of setting a new model,
    0:24:20 but now being, you know, replicated by other companies, Amazon being the most notable example,
    0:24:24 you know, becoming big forces in the, in the formation of culture and entertainment and
    0:24:25 media.
    0:24:28 And then also by the way, the other is the flip side is that a bunch of the big media companies
    0:24:30 now have gotten to the point where they now take tech incredibly seriously and have, you
    0:24:34 know, really sharp people working for them, working on very interesting projects.
    0:24:37 And then there’s a whole tech thing obviously now happening down here in LA that’s that’s
    0:24:39 of a new level of magnitude than before.
    0:24:43 And so it does feel like both of the kind of central hubs of California are developing
    0:24:44 and crossing over, you know, quite nicely now.
    0:24:50 A general question, 20 years from now, will location and being in the Bay area matter more
    0:24:51 or less?
    0:24:52 Yes.
    0:24:53 Clearly both.
    0:24:55 So on the one hand, it is absolutely true.
    0:24:59 I mean, in 20 years, you know, basically like telepresence technologies, right?
    0:25:01 So video conferencing and VR and all these things, like 20 years from now, there’s no
    0:25:05 question it’s going to be like much easier to run large distributed organizations, large
    0:25:07 distributed efforts than it is today, right?
    0:25:10 We’re going to have such high fidelity video conferencing everywhere.
    0:25:11 You can actually see this today.
    0:25:15 If you see the super high end video conferencing systems, it really is like you are there.
    0:25:17 And then we have these robots that we love in our office.
    0:25:21 Some of you have seen the beams, which are a prototype of what I think, I think telepresence
    0:25:24 robots are actually going to be a very big deal because they give you a sense of physical
    0:25:26 presence of somebody in a room that’s even different than a screen.
    0:25:30 And so like those technologies and then collaboration technologies like Slack and GitHub, right, are
    0:25:31 becoming really good today.
    0:25:35 And in 20 years, they’re going to be, you know, just spectacularly amazing.
    0:25:38 And so it’s going to be easier to run all these companies and be able to run all these
    0:25:41 efforts on a broad basis, and then it’s just going to make it much more straightforward
    0:25:44 for people all over the world to participate.
    0:25:46 So that’s on the one hand, but the other thing though is just like, okay, that’s going to
    0:25:49 be a world that’s much more connected, right, much more networked, right?
    0:25:53 It’s going to be, you know, past 5G, we’re going to be like 9 or 10 or 11G, right?
    0:25:54 It’s going to be bandwidth everywhere.
    0:25:56 It’s going to be, everybody’s going to be online all the time.
    0:25:59 We’re going to have all these, you know, wearables, being online is going to be part
    0:26:01 of everybody’s daily experience all the time.
    0:26:04 You know, the economy is going to reform itself around software network effects.
    0:26:07 And so the winning companies, you know, the winning entrepreneurial companies 20 years
    0:26:10 from now that win are going to be staggeringly large.
    0:26:13 Like they’re going to be like, I don’t know, 10 or 100 times the size of Google and Facebook.
    0:26:18 And so the prize to have a startup that scales and wins is going to become so large that
    0:26:22 you’re going to want to hyper-optimize every possible thing you could possibly do to have
    0:26:25 that extra chance that you’re going to be the one that wins, right?
    0:26:28 And that’s going to mean like people in the same room together, right?
    0:26:32 And so I think the valley is actually going to become more central, not less central,
    0:26:35 even though the technologies that we’re building are making it possible for the world to distribute.
    0:26:37 Ben, I love your book on management.
    0:26:40 It’s the only book on management I’ve ever given to my daughter.
    0:26:41 No, I appreciate that.
    0:26:42 I knew I had one chance.
    0:26:44 I picked yours.
    0:26:46 In your view, what is the best predictor?
    0:26:47 Not of innovation.
    0:26:50 We’ve talked about that, but of simple managerial intelligence.
    0:26:53 How do you spot that and what does it consist of?
    0:26:55 Well, you know, it’s interesting.
    0:26:59 It’s two skills that don’t normally go together.
    0:27:07 So it’s systems thinking, which is, you know, and I hadn’t even noticed Mark actually pointed
    0:27:10 this out to me many years ago, which is most people are not systems thinkers, meaning they
    0:27:16 cannot think about, OK, if I change this here, then it’s going to affect that over there.
    0:27:21 And you know, you know, as an economist, people always make these dumb mistakes like, OK,
    0:27:23 well, move the minimum wage and nothing else will happen.
    0:27:25 It’s like, well, no, no, it’s a system.
    0:27:26 You have to think of it in terms of the system.
    0:27:30 And so that’s kind of part of it and a big part of it.
    0:27:37 But the other part, which is, can you actually see the people in your organization?
    0:27:42 Like, do you know who they are as opposed to you’re talking to them like they’re you?
    0:27:46 And meaning, do you understand their motivation?
    0:27:49 Do you understand what they would think about something if they were in the room and you’re
    0:27:52 making a decision?
    0:27:57 Can you interpret them well enough so that it’s as though they’re there?
    0:28:01 And can you understand the implications through the eyes of the people who work for you?
    0:28:05 And if you have those two things together, those are the people who are really great,
    0:28:06 but it’s a rare thing.
    0:28:09 And you can kind of see it because you’ll be talking to them and like you might not
    0:28:12 be able to articulate something and they can articulate it for you the way you would have
    0:28:14 done it better.
    0:28:19 Like somebody who’s that perceptive on people plus a systems thinker is really the those
    0:28:21 of the people who are gifted.
    0:28:24 And Mark, did you really invent the TweetStorm?
    0:28:26 And if so, what’s the general lesson about innovation?
    0:28:27 We should learn from that.
    0:28:31 What is a general lesson?
    0:28:36 Inability to shut up, I think might have had a lot to do with it.
    0:28:37 But you did invent it.
    0:28:39 I think there might have been sequences of tweets, but literally I couldn’t shut up.
    0:28:41 So like, I think it kind of catalyzed.
    0:28:44 Well, look, I mean, the big lesson from it has been that the big lesson actually have
    0:28:47 a lot of the Internet platforms, which is emergent behavior is incredibly important, right?
    0:28:52 The really successful platforms let the user surface the behaviors, right, that the creators
    0:28:54 of the platform could have never thought of and, you know, Twitter set all kinds of issues
    0:28:57 over the years, but like it always has been amazing.
    0:28:59 Most of the compelling ways in which people use Twitter have been invented by the users.
    0:29:03 I mean, I think it’s true, retweets were invented by users, right, like very, very fundamental
    0:29:04 features.
    0:29:05 And that’s not just Twitter.
    0:29:06 That’s also been true.
    0:29:07 It was true of actually personal computers.
    0:29:08 It was true of smartphones.
    0:29:10 It’s been true of, you know, many of these platforms.
    0:29:15 And so it’s a useful principle of product design, which is let the users innovate.
    0:29:20 Ben, you’re famous actually for your barbecue cooking, viewed as a problem of management
    0:29:22 and also innovation.
    0:29:26 What makes for the difference between good and truly excellent barbecue?
    0:29:27 Time.
    0:29:28 Say more.
    0:29:29 Time.
    0:29:30 So, you know, it’s funny.
    0:29:36 I had an interesting conversation years ago with my wife’s cousin, Atlee, in Kanye West,
    0:29:41 which was just like a weird thing because Atlee’s from Baton Rouge, Louisiana.
    0:29:45 And I have him to be in New Orleans and Kanye was there and we’re all out to dinner.
    0:29:50 And Kanye asked Atlee, he says, “What’s the definition of luxury?”
    0:29:53 Which is like, if you’re from Baton Rouge, you just don’t think of that word, like you
    0:29:55 never hear the word luxury.
    0:29:59 And so Atlee says, “I just like to cook.”
    0:30:00 And Kanye says, “Well, how do you cook?”
    0:30:03 He says, “Well, like I like to make red beans and rice.”
    0:30:04 And he’s like, “Well, how do you do that?”
    0:30:08 He’s like, “Well, I take my time, you know, I cut the onions very slowly, I boil it for
    0:30:10 a long time, I make sure it simmers.”
    0:30:15 And Kanye says, “Exactly, time is luxury.”
    0:30:17 Like that’s why I make luxury records.
    0:30:18 I take my time.
    0:30:21 And I was like, yeah, that’s it.
    0:30:22 So.
    0:30:28 Mark, do you prefer to eat for-profit sushi or nonprofit sushi?
    0:30:33 This is Tyler’s favorite question to suss out whether people are actually pro-government,
    0:30:34 pro-increased government services.
    0:30:40 The idea of nonprofit sushi makes me so nauseous that I think I want to throw up on stage.
    0:30:47 General question, what’s the one thing that Wall Street does not understand about technology
    0:30:49 that you would change if you could?
    0:30:51 I think part of it is it’s a 3,000-mile-like thing.
    0:30:55 I think a big part of its culture, there’s just a delay, and there always has been.
    0:30:58 And so, you know, if I wanted to fix that, I would say, like, we need to spend a lot
    0:30:59 more time.
    0:31:02 And by the way, the tech industry does need to spend a lot more time trying to tell people
    0:31:05 what we’re doing, but at the same time, people from outside the tech industry need to spend
    0:31:08 more time in the valley and understand what’s happening here.
    0:31:10 And a lot of that is happening as well.
    0:31:13 That’s how I’m not sure I want to fix it.
    0:31:15 The question assumes I want to fix it, like, I don’t think I want to fix it, because that’s
    0:31:17 a big part of the opportunity.
    0:31:21 What’s the one thing the U.S. government does not understand about tech that you would change
    0:31:22 if you could?
    0:31:25 So I think the first thing is something that Andy Grove said many years ago, which is it’s
    0:31:27 inevitable.
    0:31:31 And so, you know, somebody had asked him, you know, is the microprocessor good or bad?
    0:31:34 He said, well, that’s like asking a steal, a good or bad, he’s like, we’ve got to deal
    0:31:36 with it, like, it’s here.
    0:31:41 And I think that, you know, the biggest mistakes the government makes are assuming it’s not.
    0:31:46 So, you know, stem cells is a great one where the U.S. government went to really hold that
    0:31:47 back.
    0:31:49 They end hold back stem cell development or research at all.
    0:31:53 They just made it very inconvenient for people in the United States, and a lot of people died
    0:31:57 and, you know, missed out on cures and all kinds of things because of that.
    0:32:00 And so I think that’s number one.
    0:32:05 And then I think the other thing is that technology is always had and always will have good and
    0:32:06 bad implications.
    0:32:12 Going back to the cotton gin, the printing press, you know, certainly the internet has
    0:32:13 had good and bad.
    0:32:18 But if you look at it overall, it’s overwhelmingly positive.
    0:32:26 And more than that, we have to go back to our population levels in like 1750 if you’re
    0:32:30 going to take away technology and take away technological advancement because the way
    0:32:35 the human population is growing, there’s no way we can, you know, live the way we want
    0:32:37 to live and have the lives we want to live without technology.
    0:32:42 So getting into these debates of whether we should hold it back is just, you know, if
    0:32:45 there’s one thing I would change, it’s like, let’s not have that debate.
    0:32:47 Let’s have the debate how to make it great.
    0:32:52 Mark, what’s the last thing software will eat?
    0:32:53 Other than sushi.
    0:32:55 Other than sushi.
    0:32:59 So I think it’s fundamentally, the term that you used actually called it, I think, project
    0:33:00 selection.
    0:33:05 And so basically it’s this question of like, okay, how do you organize a small number of
    0:33:07 people to do something new, right?
    0:33:09 And by the way, that could be a startup company.
    0:33:11 That could be many other kinds of efforts where you need a small number of people to
    0:33:12 do something new.
    0:33:14 It could be a new political campaign, a new activist movement, whatever, but a small number
    0:33:16 of people to do something new, right?
    0:33:19 And then how do you pick, if you’re going to finance or donate or fund those things,
    0:33:23 how do you pick ones to donate to, and then how are those things actually going to run,
    0:33:24 right?
    0:33:27 So the new part there is really important, like the little known fact, for example, about
    0:33:31 venture capital is that there’s a term in venture capital and hedge funds called Cary,
    0:33:34 which is basically called Cary’s interest, which is the sort of profit participation
    0:33:36 that the VCs or hedge fund managers make.
    0:33:42 The term Cary actually comes from whaling in the 1600s off like, you know, in the Atlantic
    0:33:46 Ocean, like literally their term Cary was the people who would finance the captain and
    0:33:49 the crew of the boat, but the boat actually would run as a startup.
    0:33:52 There was actually like equity participation for all the people in the boat, and then they
    0:33:56 would pick a captain, you’d raise money in town, you’d raise capital, and then the boat
    0:33:59 would go off and try to take down a whale, right?
    0:34:03 And about, you know, three quarters of the time the boat would come back, the other quarter
    0:34:04 of the time.
    0:34:05 The whale would win.
    0:34:06 The whale would win.
    0:34:08 Moby Dick was not a joke.
    0:34:12 And so the boat comes back about 75% of the time, and then literally Cary was the portion
    0:34:15 of the whale that the investors got, right?
    0:34:18 And so if you think about it, like the process, if you’re like in, you know, I don’t know,
    0:34:22 whatever, Boston or wherever, in like, you know, 1675, and you’re trying to say, okay,
    0:34:28 this ship, this captain, this crew, this mission, into these waters, right, with these weather
    0:34:31 patterns, like, and how are they going to behave under pressure, and what’s going to
    0:34:33 happen when things go wrong, and it’s a crew going to mute me, and like, are we going to
    0:34:34 make any money doing this?
    0:34:39 Like, the whole thing is just such an intricate kind of puzzle, and it revolves around people.
    0:34:45 And so, if you’re sitting out at the whaling expedition, you know, the Santa Maria is the
    0:34:46 same kind of thing.
    0:34:47 Tech startups are the same way.
    0:34:50 By the way, you know, green lighting a movie or a TV show in Hollywood is the exact same
    0:34:51 kind of process.
    0:34:55 And it’s just, it’s so intangible, and it’s so much based on the interaction of a small
    0:34:57 number of people who are going to be under extreme pressure.
    0:35:01 Like, if we could figure out a way to automate that, like, we’d fund that company and then
    0:35:03 retire, but at least we don’t know how to do that.
    0:35:07 For each of you, what’s an interesting book you’ve read lately?
    0:35:11 So one of the most interesting books I’ve read lately is a Genghis Khan and the Making
    0:35:17 of the Modern World by Jack Weatherford, and it turns out to be very unexpectedly the most
    0:35:22 interesting book on the topic of how you think about inclusion that I’ve ever read, and Genghis
    0:35:27 Khan is not known for his thoughts on inclusion because he’s mostly known for, like, being
    0:35:29 just ruthless.
    0:35:35 But he really, you know, he was a guy who came from kind of the border of northern Mongolia
    0:35:39 and Siberia, a very bad part of the world, he had a very, very hard life growing up.
    0:35:45 He was from kind of the lower, they had white bones and black bone, kind of the higher and
    0:35:50 lower caste, he was a lower caste person, and, you know, a lot of his experience growing
    0:35:56 up led him to this idea that he should choose for kind of talent, not the caste system,
    0:36:00 and not even the tribe that he was in, which was a huge breakthrough at the time, you know,
    0:36:04 nobody had done that, and the way he thought about it and the techniques that he used for
    0:36:11 doing it were breakthroughs today, you know, and so I just found it to be like a super
    0:36:15 interesting book, definitely a great management book for anybody who’s interested in that
    0:36:16 topic.
    0:36:17 Mark.
    0:36:20 So, the best book, the book’s had the biggest impact on me, it’s an incredibly well-written
    0:36:24 book, it’s, of course, out of print, it’s by actually a guy, I think, Tyler, you know,
    0:36:25 Timur Karan.
    0:36:26 Sure.
    0:36:29 You know quite well, who’s a economics and…
    0:36:30 Economist at Duke.
    0:36:31 At Duke.
    0:36:36 So it’s a book about, 20 years ago, it’s called Private Truth’s Public Lives, and it basically
    0:36:38 tells the story, the theory that he basically has, he calls preference falsification, and
    0:36:43 it’s basically the idea, it’s a situation in which people believe something in their
    0:36:46 own head, and then they feel for social reasons that they can’t say it out loud.
    0:36:50 And so it starts kind of with that as kind of an idea, and then it kind of extrapolates
    0:36:54 out kind of what happens as a society becomes the kind of society in which people feel like
    0:36:58 they can’t speak the things that they believe, and it turns out to be quite an elaborate
    0:37:01 process because basically, right, you can have these very interesting situations where
    0:37:04 you can have a majority of people who believe something, but then they all believe they
    0:37:08 can’t say it, but then as a consequence, they all come to believe that there are many fewer
    0:37:12 people who believe it than there actually are, and so you can kind of suppress a point
    0:37:16 of view artificially for quite a long time, but then he describes in the book how you
    0:37:19 can then kind of just get the reverse process, kind of get the whole thing, kind of the spring
    0:37:24 to expand, which is if a few brave people start to speak up, then a lot of other people who
    0:37:27 have had that secret belief all of a sudden realize they’re not alone, and then you start
    0:37:30 a cascade, right, in which a lot of people start to speak up, and he basically models
    0:37:34 in the book like that’s where revolutions come from, and it’s basically like an explanation
    0:37:39 for the fall of the Berlin Wall, it’s an explanation for political revolution.
    0:37:42 It so happens to be, I think, highly relevant to what’s happening both on the left and the
    0:37:44 right in the U.S., like right now.
    0:37:47 Like, I think it’s, as you read the book, you’re just like, okay, that’s the cleanest
    0:37:51 explanation of the Trump phenomenon I’ve ever seen, and furthermore, it’s also the cleanest
    0:37:53 explanation of the Bernie phenomenon I’ve ever seen, like I think it actually describes
    0:37:54 both quite accurately.
    0:37:58 For the last question, I’d like to return to Mark and Ben as a couple.
    0:38:03 Ben, what’s Mark’s biggest misconception about you, and Mark, what’s Ben’s biggest
    0:38:05 misconception about you?
    0:38:11 So this is the sad thing, is that he knows me so well that I wish he had misperceptions
    0:38:18 about me, but like, he actually knows who I am, and so this is, and it manifests itself
    0:38:22 the worst, like if something’s going wrong at the firm, it’s always some combination
    0:38:27 of his and my fault, and he’ll know exactly the flaws that I have that have led us to
    0:38:34 that situation, and like, it’s unbearable, and vice versa, but I’ll let him answer.
    0:38:36 And Mark, you have the last word.
    0:38:39 Ben’s biggest misconception to me is he thinks I’m gonna go to my room tonight and listen
    0:38:43 to Will Smith.
    0:38:45 I thank you both very much for this dialogue.
    0:38:46 Thanks everybody.
    0:38:50 (audience applauding)
    0:39:00 [BLANK_AUDIO]

    with Marc Andreessen (@pmarca), Ben Horowitz (@bhorowitz), and Tyler Cowen (@tylercowen)

    Continuing our 10-year anniversary series since the founding of Andreessen Horowitz (aka ”a16z”), we’re resurfacing some of our previous episodes featuring Andreessen Horowitz founders Marc Andreessen and Ben Horowitz.

    This episode was actually recorded in 2018 at our annual innovation Summit, and features economist Tyler Cowen interviewing Ben and Marc about everything from their partnership and how it works to talent, tech trends, and software eating culture.

    You can find other episodes in this series at a16z.com/10.

  • a16z Podcast: Beyond Zero Sum, Again

    AI transcript
    0:00:05 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice, or be used to evaluate any investment or security, and is not directed
    0:00:16 at any investors or potential investors in any A16Z fund. For more details, please see
    0:00:17 a16z.com/disclosures.
    0:00:23 Hi, everyone. Welcome to the A6NZ podcast. I’m Sonal. So this week, to continue our
    0:00:28 10-year anniversary series since the founding of A6NZ, we’re actually resurfacing some
    0:00:32 of our previous episodes featuring founders Mark Andresen and Ben Horwitz. If you haven’t
    0:00:36 heard our latest episode with Stuart Butterfield turning the tables as the entrepreneur interviewing
    0:00:43 them, please do check that out and other episodes in this series on our website at a6nz.com/10.
    0:00:49 But this episode was recorded at our annual Innovation Summit in 2017 and features writer
    0:00:53 Stephen B. Johnson interviewing them about everything from their relationship to creative
    0:00:54 inspirations.
    0:01:01 All right. I’m delighted and honored to be here with you. And we’ve got a lot to cover.
    0:01:04 And what the kind of architecture for this conversation is, in a sense, we’re going to
    0:01:09 kind of zoom out. We’re going to start on a more personal level and broaden out to think
    0:01:13 a little bit about tech cultures inside a given organization, and then start thinking a little
    0:01:18 bit more about broader social trends coming out of technology and looking into the future
    0:01:21 a little bit. But I wanted to start with something actually just listening to your conversation
    0:01:25 with JJ, who I don’t know at all, but I’m going to call JJ. He was talking about that
    0:01:31 first kind of literally magical moment going and seeing Universal Studios and then getting
    0:01:35 into magic and how that was so transformative as an eight-year-old. And it occurred to me,
    0:01:39 do you guys have a memory of something like that with tech at any point where you really
    0:01:44 saw something? For me, it was late. It was hypercard, sophomore year in college, where
    0:01:49 I was just like, oh, there is this whole possibility that I hadn’t imagined could happen on a screen.
    0:01:53 Do you have similar stories? It’s funny. This is an embarrassing question because I’m sitting
    0:01:59 next to Mark, but one of the ones I remember most vividly was seeing Mosaic because for
    0:02:04 years in tech, there were all these ideas about like if you were in computer science
    0:02:10 about what was possible from all the things that you ought to be able to do, but you could
    0:02:15 never actually quite get them to work. And hypercard was like that in that way, but Mosaic
    0:02:19 was really it. It was all there on it. And when you downloaded it, you were like, oh,
    0:02:25 my God, the whole world is like right there. I can reach the world. That’s the most craziest
    0:02:29 thing ever. But I hate to say that with him sitting here because I go right to his head.
    0:02:33 Well, it was a really striking point because up until, certainly for me, and I think for
    0:02:38 a lot of people, there was discussion about hypertext that had been circulating through
    0:02:43 different subcultures. But I would say probably 80% of the preceded received at that point
    0:02:48 was strangely enough about hypertext fiction. It was people who were writing these nonlinear
    0:02:54 stories. And when you saw Mosaic for the first time, you’re like, oh, this isn’t some obscure
    0:02:58 avant-garde postmodern literary device. This is the future of media.
    0:03:01 I have a much better answer than that. So I actually just mentioned on stage, but like
    0:03:05 the early PCs really were the mystery box, the magic box and that really, that just,
    0:03:08 you know, the flesh and cursor had me from go. So that sense of potential was a really
    0:03:14 big deal. The other, I swear to God that this is true. Knight Rider, who remembers Knight
    0:03:16 Rider, Knight Rider. There we go. Knight Rider outstanding.
    0:03:17 You’re talking about kids?
    0:03:22 Kids. Holy shit. So I was, I forget, I was, it was 82. So yeah, I was 10, right? And so
    0:03:25 this shows on, and I don’t know, it’s this guy in the leather jacket. And I don’t know,
    0:03:29 he seems cool, whatever. But they did this very clever thing, the mystery box thing.
    0:03:31 And then there was no internet, no, nothing couldn’t find anything. You just saw a few
    0:03:36 commercials. They did not tell you that the car was like that special. And if you go back
    0:03:41 and watch the pilot, it’s like 45 minutes in. And like, it’s the whole thing has happened.
    0:03:44 He’s been shot in the face. He’s had reconstructive surgery. He’s got the new name. He’s got
    0:03:49 the mission. He’s got the car. He’s driving along 45 minutes in the car talks. And like,
    0:03:52 I think I fell out of the couch. Like, I think I just like literally, I was like, the car
    0:03:56 is talking. Right. And then I started to remember what that felt like. And then I have to remember
    0:04:00 the screens, like the dash on that thing, right? It was like being in the space shuttle.
    0:04:03 And to this day, when I get in a car, that, you know, the modern cars are like that, right?
    0:04:06 They’ve got up to and excluding the fact that they talk to you now. But you know, they got
    0:04:08 all the screens in the distance of that and the dash and the tuzzling, the whole thing.
    0:04:14 It’s still, I always still feel like I’m getting behind the dash of kit. That is the best answer.
    0:04:20 So there’s a great thing about your, the relationship that you guys have, it’s a long enduring one,
    0:04:24 incredibly productive one. There’s a line in the hard thing about hard things in your book,
    0:04:28 not to embarrass you, Mark, but I just wanted to quote it here. This is, you’re talking
    0:04:34 about the relationship. And what you said is, even after 18 years, he upsets me almost
    0:04:41 every day by finding something wrong in my thinking. And I do the same for him. It works.
    0:04:48 So first off, is that true? But more than that, are you guys, is there something predictably
    0:04:52 wrong? Are you guys wrong? And are you finding yourselves correcting each other in ways that
    0:04:57 are kind of, are there patterns to the way in which you disagree? Do you tend to err
    0:05:01 on the side, this side, where Mark errors on another side?
    0:05:06 You know, I think it’s, you know, we’re close enough in personality, but different enough
    0:05:11 kind of in skills that we often see things from different angles. And then a lot of it
    0:05:16 is Mark himself, which is like, Mark always likes to take the other side of the argument,
    0:05:21 whatever side, like he just enjoys taking the other side. That’s his thing. And so, you
    0:05:26 know, it just kind of goes that way. I think that the real key to it is that we somehow
    0:05:33 got to a level of trust where we can really go at it in a way that would, for most people,
    0:05:38 you just go like, if you like, you can’t talk to me that way. Like how, you know, like so
    0:05:42 disrespectful, like you’re stepping on me, you’re asking me these questions that hurt
    0:05:47 my feelings. But you know, for us, you know, it has still like, you know, sometimes like,
    0:05:51 get close to that, but not, not all the way.
    0:05:54 I think the big thing is the thing I decided at a certain point, because we get asked a
    0:05:58 version of this question by the founding teams that we work with, or if we bring a CEO into
    0:06:01 a company, help a founder, bring in a CEO, and they’re going to have a partnership that
    0:06:03 hopefully works something like this, you know, get kind of asked kind of, how do you make
    0:06:07 it work? Because it is so easy for the conflict, for the emotion to, to drive people apart.
    0:06:12 And so the way I think about it is, it’s more important to me that we have the successful
    0:06:17 partnership than it is that I’m right on any particular issue. And I’m proud to say that
    0:06:21 Ben, of course, is the exact opposite. It’s far more important for him to be right than
    0:06:27 absolutely. And so it meshes perfectly right hand and glove. I’m joking. That was a joke.
    0:06:29 And so we both will argue it all the way up, but each of us will defer to the other. At
    0:06:32 the end of it, if it’s an argument, it’s over which one, which of us is going to defer to
    0:06:37 the other one, with each of us volunteering to do it, say most of the time.
    0:06:42 And that’s really like, sometimes the argument will not resolve, but we’ll kind of know
    0:06:48 who knows more about that thing. And we’ll yield in that way. And that’s been super productive.
    0:06:53 And there are ongoing disputes about where the technology world is heading. Are there
    0:06:57 kind of senses like, oh, no, you think this thing is going to be huge, but this is the
    0:06:59 old argument we’ve been having for five years. It’s never going to happen.
    0:07:02 Well, we both believe a lot and disagree and commit, right? And so it’s important. Like
    0:07:05 as an example, one version of the question you asked is like, what if we’re arguing about
    0:07:08 some startup we funded? And whether it’s, you know, we’re going to have some argument
    0:07:11 about like that was a mistake or not or whatever. Like we basically, I don’t think ever have
    0:07:15 those arguments. And the reason is because we may argue whether, and this is true of
    0:07:18 our partnership or broadly, we may argue about whether to make the investment, but once we
    0:07:21 make it, we’re in. And then at that point, it’s important that it’s the dynamic sort
    0:07:25 of implicit promise in the team and including between the two of us as we’re all in this,
    0:07:29 we’ve all committed. And I think that’s really critically important because that’s how you
    0:07:32 maintain, that’s how you don’t have, I told you so.
    0:07:35 And backbiting and talking about people when they’re not in the room and that kind of thing.
    0:07:36 That’s just bad.
    0:07:40 Do you all have a, I’m actually in the middle of writing a book about long-term, complex
    0:07:46 decision-making. So I have my own kind of bias in this question. But do you have, when
    0:07:48 you’re confronting a decision to say, for instance, like should we fund this company
    0:07:52 or should we follow in this round or other life decisions, do you find that you have
    0:07:59 a process for that decision-making act that you go through and think about as a series
    0:08:04 of stages? Or is it something that’s more fluid and conversational and intuitive?
    0:08:09 Yeah. So it’s interesting. This business is different than our last. So running a company,
    0:08:16 you try to be more structured in how you do this. In some ways, in that speed is really
    0:08:22 important. So if you’re running a company, your output is decisions and you rate it
    0:08:27 on quality and speed. And if you have to make the trade, which you always have to, you generally
    0:08:32 go towards speed because you have a lot of decisions to make. And if you don’t make them
    0:08:39 fast, then you freeze the entire organization. In our new business, basically quality is everything.
    0:08:45 And so we’ll go around the horn 50,000 times if we have to to make sure that we’ve explored
    0:08:51 every corner and every crevice of the discussion and we’ve not missed something. So I would
    0:08:57 say in some ways, we have a lot of a framework in our minds about how we think of investments
    0:09:03 and deals and so forth. But we’re willing to go in many loops where we would never do
    0:09:04 that in a company.
    0:09:08 One of the things that I love investigating and talking to people about is their kind
    0:09:13 of creative workflow and where they find inspiration. There’s a lot of research out there that some
    0:09:16 of which that I’ve done and other people have done about the importance of kind of diversity
    0:09:22 of influences in your kind of worldview, leading to more creative thinking. So I’m just curious
    0:09:27 about your kind of daily information diet in a sense, beyond the kind of the routine
    0:09:32 of the meetings that you have with the founders and the pitch meetings and so on. Where do
    0:09:36 you find that kind of outside influence in new ideas?
    0:09:41 So we sort of cheat in a sense, which is we have, we see 2000 inbound startups a year.
    0:09:44 These are by definition and 2000 are the smartest people in the world in all the domains that
    0:09:48 they’re operating in. And so, I mean, honestly, after that, it’s just, it’s hard to pick up
    0:09:52 like a magazine and open it with any level of enthusiasm because it’s like, you know,
    0:09:54 you kind of have this, you know, you’re kind of seeing the stuff months or years before
    0:09:58 it shows up in the press. And so that’s part of it. Personally, I’ve been running this
    0:10:02 year a big experiment and I’ve always been a big reader and sort of information on the
    0:10:05 board. And it just, you know, I’ve always tried to kind of balance short term, long term,
    0:10:09 you know, different kinds of different time horizons of material, different kinds of material.
    0:10:12 So I’ve been running a big experiment this year, which is I’ve been trying to do a bar
    0:10:17 bell. I’ve been trying to polarize it. And so I’ve stopped completely reading newspapers,
    0:10:22 magazines, basically anything that has a time horizon, basically greater than let’s say
    0:10:26 five minutes to, you know, anything basically between five minutes and five years, which
    0:10:30 is to say I basically only read social media on the one hand and then only books on the
    0:10:34 other hand, right? And just polarize it and gap it way out. So what’s interesting about
    0:10:38 that is of course, being on social media like that process, you know, necessarily you end
    0:10:42 up consuming a lot of news and that a lot of what’s there notwithstanding the false
    0:10:46 reports of the death of the web, a lot of what social media is, is links to things that
    0:10:49 are interesting, right? People who you’re following are interested in. And so, you know, I do
    0:10:52 end up reading basically everything. But one of the experiments was, does it matter? Like
    0:10:55 if you don’t see the homepage of the newspaper, do you miss things? And it turns out if you
    0:10:58 follow the right people, you really don’t, because they surface all the interesting
    0:11:01 stuff anyway. And you get to see a lot of stuff that you wouldn’t necessarily see looking
    0:11:04 at the homepage. But the other side, honestly, and you know, you’re accomplished book author,
    0:11:08 the other side of it is just books, you know, books that probably become the great underestimated
    0:11:12 source of information relevant to our daily lives that just gets, you know, as there is
    0:11:17 just such a surplus of kind of near term information and consumption. And let’s just say, as the
    0:11:21 real world is getting continuously more interesting in real time, you can spend all day long just
    0:11:24 following the ins and outs of what’s happening in the political scene or what’s happening
    0:11:26 in the sports scene or what’s happening in, you know, the business world or whatever.
    0:11:29 And so you can really get, you know, let’s talk about myself, I can get really trapped
    0:11:33 in the present. And so the ability to at least have some time to be able to go back and be
    0:11:37 able to read things that were written five or 10 or 50 or 100 years ago, that have stood
    0:11:40 the test of time in the form of books has been I think is very valuable.
    0:11:43 It has been very interesting. I mean, the book business is actually quite healthy and
    0:11:47 people are reading, you know, reading print books, there’s a kind of return to print books.
    0:11:51 And it does feel as if I think one of the things you don’t realize until you write them,
    0:11:54 particularly with nonfiction books, but it’s true fiction as well that when you meet someone
    0:12:00 who’s read one of your books, they have been living inside your mind for 12 hours, 20 hours,
    0:12:05 depending how long the book is. And so it is still an unrivaled way to get complicated
    0:12:09 ideas into other people’s minds. And so it’s been, I think a sign of health in the culture
    0:12:13 of that books are actually thriving in the midst of all this kind of minute by minute
    0:12:14 social media.
    0:12:16 And also, by the way, as you well know, like audio books, right, I think there’s a renaissance
    0:12:21 in audio books, which is just having the smartphone and now the wireless, you know, ear pods makes
    0:12:26 it so much more convenient for your content, long form audio content. And podcasts, obviously
    0:12:29 are a big part of that. But audio books in the course is drive time and wait time and
    0:12:32 this time and, you know, morning time and so forth completely fit into my life in a
    0:12:34 way that books didn’t use to.
    0:12:38 I also wanted to ask you, Ben, about music, can you talk a little bit about that in terms
    0:12:40 of your own kind of creative view of the world?
    0:12:44 Yes. Well, it’s interesting and it’s very specific to hip hop for me and hip hop is an
    0:12:49 unusual music form in that it’s a very kind of capitalistic form of music, which is completely
    0:12:55 kind of unheard of in popular music. And that the main theme of hip hop, if you go through
    0:12:59 all the great rappers is like, how do you build something out of nothing? You know, how do
    0:13:03 you compete these kinds of things as opposed to R&B, which was maybe love songs and like
    0:13:09 rock and roll, which is more communist. But it’s perfect. It’s a perfect analog to entrepreneurship.
    0:13:13 It’s kind of the exact kind of motivational soundtrack for entrepreneurs. And that’s really
    0:13:19 how I started with it, because any theme I wanted to write about, like it was a great
    0:13:26 way to find inspiration. But it led to, if you say I made a contribution to the management
    0:13:33 literature, it actually came out of rap music in that the big thing that was different in
    0:13:38 my book was that the logic of management is not very complicated. Then you can understand
    0:13:44 all the management theory. It’s just not that hard. But the emotional, psychological complexity
    0:13:49 of doing it is incredibly difficult. And you know, we see tremendous fallout from brilliant,
    0:13:55 brilliant people who can never get over that. And so the big challenge for me was like,
    0:14:01 how do you communicate the emotional part of the lesson? And hip hop is great for that
    0:14:06 because it carries the emotion. And it’s all about kind of the capitalism. So I wrote
    0:14:12 a post, how do you handle politics in a company? And I went through all the things that cause
    0:14:16 politics and the subtle things, like how somebody asking for a raise can do it and how you deal
    0:14:22 with that technique and so forth. But a lot of it is the attitude of the manager. And
    0:14:27 so the rap quote that I used was Rick Ross, who do you think you’re fucking with? I’m
    0:14:33 the fucking boss. And like, once you get that, then you know how to do it. That’s great.
    0:14:39 Okay, so let’s zoom out a little bit now. You were asking JJ Abrams about LA as the
    0:14:43 kind of epicenter of the movie business. So with all the changes that we’ve seen in the
    0:14:50 tech sector and all the volatility, the one constant really for half a century has been
    0:14:55 that the Bay Area and Silicon Valley have been the epicenter of the technology world
    0:15:00 really without any near arrival, probably for 50 years, I think it’d probably be fair
    0:15:03 to say, despite the fact that it has gone through all these different revolutions and
    0:15:08 you had big computers and then personal computers and then the web and then social media. So
    0:15:13 really two questions I think, why, why they are, like what was it about that particular
    0:15:18 configuration that rooted tech in that world? And do you think we’re going to look back
    0:15:21 in 30 or 40 years and it’s going to have the same concentration?
    0:15:25 Yeah. So the why, so the why is I think it’s history, right? And so just the fact that
    0:15:28 it’s been a network effect, right? It’s been a snowball rolling down the hill, picking
    0:15:32 up momentum now for 56, actually turns out 50, 60, 70, 80 years. A lot of ways it goes
    0:15:37 back to the 1920s, 1930s, the early defense contractors. Steve Blank has a whole series
    0:15:41 of videos called the secret history of Silicon Valley. He traces it all the way back almost
    0:15:42 a hundred years.
    0:15:43 Fantastic.
    0:15:46 Fantastic shares. And the point of it is, it’s just, it’s this kind of network effect
    0:15:49 that’s just kept rolling, right? And so it’s been this place where it’s just like, it’s
    0:15:53 the place where the next really smart engineer programmer or, you know, equivalently salesperson,
    0:15:58 marketing person, west door contact, whoever they are, finance person on the margin, right,
    0:16:01 is more tempted to move to the valley than many other places, which isn’t to say that
    0:16:04 there aren’t many capable people all over the world. It’s just on the margin. Many of
    0:16:07 the ones who are super ambitious end up at the valley. And of course, I’m an example
    0:16:10 of that. And as a consequence, right, it’s a story of imports, right? And so another
    0:16:14 thing just to read, I’m sure if people are interested, Tom Wolf, the great novelist,
    0:16:18 journalist wrote a piece in the 80s in Esquire about literally Bob Noyce, who was the original
    0:16:22 CEO of Intel, one of the fathers of Silicon Valley and literally grew up in Iowa, grew
    0:16:26 up in the Midwest and was the Silicon Valley import. And actually Wolf ascribes a lot of
    0:16:31 modern Valley culture to literally Bob Noyce importing, interestingly, Midwestern culture,
    0:16:35 right, including, by the way, egalitarianism, right. So the whole open floor plan thing,
    0:16:39 stock option ownership, everybody owns a share in the company. He traces that actually back
    0:16:43 to Midwestern culture. And so it just got established and it developed this ethic and
    0:16:46 it’s probably not an accident that it’s the frontier, right? It’s probably not an accident
    0:16:49 that this sort of gold rush happened, right? It’s just kind of this frontier out the mentality
    0:16:53 has continued. So that’s the good news, right? The bad news is, as I discussed with JJ, like
    0:16:56 it’s just number one, we’re just bursting at the seams, like it’s just become a hard
    0:16:58 place to do business. And the number two is there’s great people all over the world and
    0:17:02 like why on earth? So the joke in the valley is, you know, help wanted, right? Software
    0:17:06 company puts up Silicon Valley, software company puts up a help wanted out on the internet
    0:17:09 or whatever and says, you know, help wanted, you know, software engineer to work on new
    0:17:14 collaboration software tool, online collaboration software tool that will enable people to work
    0:17:19 together independent of geography all over the world. So in real time, PS must relocate
    0:17:22 to San Francisco to apply. And so it’s this weird incongruity, which is we’re building
    0:17:26 the technologies that in theory should let this stuff spread. And yet for some reason
    0:17:30 in the last 10, 20 years, it’s actually been concentrating more and more. And so I’ve come
    0:17:33 to believe it’s a maybe this is obvious to some people, but I would come to believe it’s
    0:17:38 a human dynamics question. It’s a psychology, sociology question, not a technology question
    0:17:42 in a lot of ways, which is just like how do people best work together, right? And it just
    0:17:46 so happens that at least for the form of traditional companies, which you just see over and over
    0:17:50 again is just when you can get everybody in the same room physically in the same room,
    0:17:53 right, with the level of, say, fidelity of communication interaction where we’re sitting,
    0:17:57 you know, it’s why, by the way, it’s why we’re all physically here. And there are a few successful
    0:18:00 distributed companies, but there really aren’t very many as a consequence of that. And so
    0:18:05 my hope is that we’re going to get there in the next, you know, let’s say 10 or 20 years,
    0:18:09 my hope is that we’re going to get telepresence, right, in the form of video conferencing and
    0:18:14 telepresence robots and VR and AR and all these things to collaboration software and
    0:18:17 work group software and Slack and GitHub and all these amazing technologies are building
    0:18:20 for collaboration. My hope is we’re going to get it to the point where it’s just going
    0:18:23 to be obvious that we don’t all have to be in the same place. If that happens, you could
    0:18:27 say it’s quote bad for the Valley in the sense of like maybe Silicon Valley is not central
    0:18:31 anymore, but it would be so good for the world for that to be the case and we would all benefit
    0:18:34 so much from that. I think it’s a very worthwhile thing to pursue and something I’m very fired
    0:18:35 up about.
    0:18:39 How much do you think, just to go back to the point about noise in the early days of
    0:18:43 Silicon Valley and the history of it, to have written about this a little bit as well, how
    0:18:51 much do you think that the participatory option granting culture, which is very different,
    0:18:54 there were very few kind of East Coast firms that were doing that. So you had much more
    0:19:00 traditional kind of top down equity systems in those corporate entities. How much do you
    0:19:03 think that is part of the success of Silicon Valley? This is something I think that would
    0:19:06 be interesting to go back and look at just economically.
    0:19:10 So I think it ends up being very important because of the nature of technology companies.
    0:19:18 So if you look at, there are other kinds of companies where the people are much more interchangeable
    0:19:23 and this kind of gets into why the network effect is so important and so forth. And in
    0:19:29 like a tech company, there’s lots of people who are extremely valuable and that innovation
    0:19:36 as a way to get them their kind of proper compensation for their contribution, the great
    0:19:39 conversation with Mark and Charles Koch, where he talked about like, you have to be
    0:19:43 rewarded for what you contribute to others. And that really is key to any business and
    0:19:47 any incentive system. And particularly in technology, because there are so many people
    0:19:53 in the company who are so valuable and so fundamentally critical to the company’s success,
    0:19:58 it really is one of a very few kinds of compensation systems that would work. And certainly, you
    0:20:02 know, a lot of the systems on the East Coast would never work for tech companies to be
    0:20:03 kind of world-class competitive.
    0:20:11 So it’s been six years since Mark, you wrote the software eats the world essay. I went
    0:20:15 back and looked at it and reread it. It was a great piece. It reminded me of, I’m sure
    0:20:18 a lot of people have seen this. There was a great thing that was circulating on social
    0:20:24 media a couple of years ago. It was an old kind of single page flyer for Radio Shack from
    0:20:29 like 1988 or something like that. It was a list of like 30 products that Radio Shack sold.
    0:20:36 And the answer machine was, you know, a VCR, an alarm clock, like a TRS 80 kind of descendant,
    0:20:39 you know, a game console, something like that. And literally without exception, every single
    0:20:43 one of them is now an app on your phone, right? The whole thing had gotten swallowed up by
    0:20:48 software, which is of course a measuring productivity problem because all those things
    0:20:55 in aggregate cost $30,000 in 1988. And now they’re free on a phone that costs $600, which
    0:20:57 is actually progress, but doesn’t sometimes look like it.
    0:21:03 So obviously I think that that was a very prescient forecast to make. Has anything kind
    0:21:08 of surprised you six years later looking back on it? I mean, in it, you say the next big
    0:21:12 stages are health and education. And I’m wondering, you know, particularly on those fronts, has
    0:21:14 it lived up to the kind of promise you saw back then?
    0:21:16 Yeah, they’re sort of the overall concept of software eats the world. But then there
    0:21:20 was a specific framework that I proposed in the piece, which is sort of a weak form of
    0:21:23 semi strong form and a strong form of this hypothesis, right? And so the weak form was
    0:21:28 every product that can write every physical product will become a software product, right?
    0:21:31 And that’s that’s exactly your radar check example. Things go from being physical products
    0:21:37 to being apps. The second sort of semi strong version of that was therefore any company
    0:21:41 that makes a product that can be turned into software will itself therefore have to become
    0:21:44 a software company. Right. And in fact, I was thinking you could you could see this thing
    0:21:47 for example, playing out right now in the car industry, right, where all the car companies
    0:21:50 are spinning up software efforts, they’re buying software companies are spinning up
    0:21:53 software and as fast as they possibly can because they see what’s coming with autonomy
    0:21:58 and all these other software advances. And then the strong and sort of audacious slash
    0:22:03 ambitious slash arrogant hubristic version of the thesis is in any industry as a result
    0:22:07 of this dynamic in the long run, the winning company in the industry will be the best software
    0:22:12 company, right, which is a provocative statement, right? Because in a lot of these industries,
    0:22:16 and again, cars are a great example. You have incumbents who are really good at making cars
    0:22:18 trying to become great software companies. And then you have great software companies
    0:22:22 that have no idea how to build a car, right, who are going to start who are going to start
    0:22:25 making cars, right? And then you’re going to have basically, right, this giant collision
    0:22:29 between companies coming from two totally different backgrounds. And so I think that
    0:22:34 you’re seeing lots of that first stage that week stage, lots of products transitioning,
    0:22:37 you’re seeing lots of companies becoming software companies. I think we’re just entering in a
    0:22:41 lot of industries were entering that Thursday’s where there’s this very interesting structural
    0:22:44 battle that’s forming up. The other thing I says, yeah, I think you exactly nailed it
    0:22:48 with healthcare and education, right, which is there are these giant sectors of the economy
    0:22:53 in which not only is there no productivity growth, like overall in both healthcare and
    0:22:57 education, there is no measured growth, there is no measured results in the application of
    0:23:01 technology in those fields. And in fact, probably it’s negative productivity growth, right?
    0:23:04 Like the typical university has been going backwards in productivity, right? You just
    0:23:07 look at the charts, the number of administrators that they hire, right, per student is just
    0:23:13 skyrocketing and that is literally negative technological productivity. And so those industries
    0:23:18 are extremely enticing to Silicon Valley, because they’re so big, they’re gigantic.
    0:23:22 Healthcare, healthcare is a sixth of the American economy, right? And left unchecked, it will
    0:23:26 become a fourth and then a third and then a half and then two thirds and then three quarters.
    0:23:30 Like it’s just left unchecked, it’s just going to keep growing. And so it’s so much money.
    0:23:35 It’s so big. It’s so important. It’s very enticing. And the incumbent structure of there’s many
    0:23:38 smart companies in that industry, but the incumbent structure of how the industry works
    0:23:42 is just, is wired to go the wrong direction. And so there’s this huge opportunity to insert
    0:23:46 into it, which obviously we’re going after hard, but that’s still like super early.
    0:23:47 Yeah.
    0:23:51 And education, what, Ben, do you have thoughts on that front? I mean, there’s this interesting
    0:23:57 point we’re at where there seems to be a growing backlash to the presence of screens, particularly
    0:24:02 in younger kids’ school classrooms that it hasn’t lived up to the potential. And maybe
    0:24:06 the kids already have too much software in their lives as it is.
    0:24:13 So, you know, it’s funny, or it’s not funny. It’s sad that we’ve not applied technology
    0:24:19 that well. And a lot of it has to do with the kind of structure of the kind of political
    0:24:22 regulatory structure of schools. And we have a company, Udacity, that’s worked hard on
    0:24:27 this. And their final conclusion was to kind of run outside of the school system, but it’s
    0:24:32 very powerful. I’ll tell you a quick story about that. But, you know, obviously, very
    0:24:37 obviously, if you could have like, any teacher or the best teacher in the world teaching a
    0:24:44 math class, if students have to study and then be tested, like, when do you take a test outside
    0:24:49 of school, like, ever in life? Like, what the hell skill is that does this create like tremendous
    0:24:53 anxiety and like give people complexes. But you ought to, with technology, you ought to
    0:24:57 be able to measure how people are learning every step of the way, give them harder problems,
    0:25:02 if they’re going very fast, or get them help if they’re going slow. And there’s a lot of
    0:25:07 things that ought to be able to be done. But then I think the more kind of pressing thing,
    0:25:13 and the thing that Udacity really addresses is the four year education, general education,
    0:25:18 doesn’t work that well in the modern economy because people are switching careers very,
    0:25:23 very often every, you know, two, three years sometimes. And, you know, like four years,
    0:25:26 and then you never go back to school for the rest of your life doesn’t make any sense at
    0:25:31 all because people need to get retrained jobs get displaced. And so what Udacity has come
    0:25:36 up with is this thing, the nano degree, which is two months, three months, you can learn
    0:25:42 to program an Android phone or build a self driving car, or learn to do technical marketing.
    0:25:47 And those degrees are connected right to the job market. So you can roll right in with
    0:25:53 a skill and a certificate that says you understand the material and you’re ready to work. And
    0:25:58 that is a great innovation and something that we’re really excited about. And just quick
    0:26:03 story on that. So one of the huge problems we have in this country is prison and the
    0:26:08 need for prison reform because we’ve got, you know, 75% recidivism rate where people
    0:26:12 who go to jail and come out, go back to jail. And the reason they go back to jail, they
    0:26:16 can’t get jobs. And the reason they can’t get jobs is because two things. One is we’ve
    0:26:23 outlawed college in prison and then two, once they come out, their record follows them wherever
    0:26:30 they go. So, you know, I’ve got a friend who came out of jail and I said, go to Udacity.
    0:26:35 He goes to Udacity and he’s coming up on his technical marketing degree and he’s already
    0:26:38 got job offers. And it’s like, that’s what we need.
    0:26:43 Yeah. And I think it’s almost as if school, particularly high school, and I have two kids
    0:26:47 in high school, so I think about this a lot, it’s kind of trapped in this middle zone that
    0:26:50 doesn’t really work in a sense. It’s much more effective to have those kind of nano
    0:26:55 skills, right, where you can actually kind of apply them or the skills should be broader,
    0:26:59 right? I mean, when you read through, again, a book like the hard thing about hard things,
    0:27:04 I just think about how there are so many skills in there that no one ever thought to teach
    0:27:08 me in high school, right? I mean, the skills about decision making skills about kind of
    0:27:11 emotional intelligence, dealing with, you know, difficult decisions. My kid actually
    0:27:15 in his high school, to its credit, is doing a kind of design thinking class. And they’re
    0:27:20 basically learning how to brainstorm ideas, interview a customer, think about different
    0:27:24 possibilities, do mock-ups. And it was like, this should be the default. This should not
    0:27:27 be an elective. This should be the thing you learn. And then if you want to go off and
    0:27:33 do advanced chemistry or do advanced calculus, that’s fine. But those types of skills that
    0:27:36 are just, everyone is going to have to know on some level, but it’s very rare to encounter
    0:27:38 that. We’ve got a very dated curriculum. There’s
    0:27:42 no question. I ran on the board of trustees at Columbia. And there are certainly people
    0:27:47 who are going to go to like an elite school and become a scholar or a PhD. And I think
    0:27:51 the system works reasonably well for them. But for, you know, the kind of bulk of the
    0:27:57 population who goes to college to get into the workforce, it’s really difficult. It’s
    0:27:59 exactly, as you say, it’s kind of neither here nor there.
    0:28:04 Let’s talk a little bit then, kind of segueing a little bit to the job and automation question
    0:28:09 anyway. In general, I think we all agree that there has been this growing and now kind of
    0:28:16 reaching Crescendo backlash against big tech and the tech sector that the last year has
    0:28:20 particularly brought to the fore. And I feel it very strongly going back because I live
    0:28:24 part of the time in Bay Area and part of the time in New York, when I’m back in New York,
    0:28:29 you know, nine out of 10 kind of opinion like pieces written in these media are negative
    0:28:30 pieces.
    0:28:31 It’s only nine out of 10.
    0:28:34 I mean, so I want to get into some of the specifics about why that is happening, how
    0:28:39 you guys feel about it. But how much in general do you and how much recently have you found,
    0:28:42 do you find yourselves taking that seriously and how much do you feel that people just
    0:28:44 don’t understand what’s going on here?
    0:28:45 We might give two different answers.
    0:28:50 Yeah. So I would first say there’s a huge difference between what gets written in opinion
    0:28:56 pieces and the actual opinions of the public. So if you look at approval ratings of tech,
    0:29:01 they’re incredibly high. Like they’re the highest of any industry. And like Amazon’s
    0:29:05 approval raising, which is one of the biggest targets is like 80. Whereas Congress is like
    0:29:10 20 and the press is like 20. And so like the guys at 20 are saying the guys at 80 need
    0:29:14 to be stopped because everybody hates them. So there is that dynamic. And I think it’s
    0:29:15 very real.
    0:29:19 This is the concept of false consciousness, right? So literally the whole problem with
    0:29:22 the communist revolution was the business weren’t signed up for it. And so the intellectual
    0:29:24 leaders were like, well, but we got to take down the capitalist.
    0:29:29 The other thing is, I think there’s something else going on that this is a side effect of.
    0:29:34 And I think it’s the rise in the last several years. And in particular, after the 2008 crisis,
    0:29:38 credit crisis crash, I actually think was the catalyst for a lot of this. It’s the rise
    0:29:42 of zero sum thinking in both economics and in politics. Let’s say zero sum as opposed
    0:29:46 to positive sum, right, which is this is sort of game theory, right? Zero sum game is I
    0:29:50 win, you lose. And by the way, if I’m winning, it must mean that you’re losing because it’s
    0:29:53 zero sum. It’s only a question of how we slice up the pie, right? Whereas positive sum is
    0:29:57 we can all win together. It’s actually a great book called finite and infinite games that
    0:30:01 actually goes through. If you go back historically, basically, economist philosophers and so forth
    0:30:06 thought the politics and economics were zero sum. And there were huge battles over resources.
    0:30:09 And this was colonization, all these other horrible things that happened over years were
    0:30:13 fought through mercantilism, trade wars, right? All these things were fought based on zero
    0:30:16 sum. And about, you know, 300 years ago, Adam Smith and a whole bunch of other really smart
    0:30:20 thinkers figured out, no, you can actually gain from trade and you can actually interact
    0:30:24 with more people and it’s good for everybody. And politics can be positive some just because
    0:30:27 I’m doing well might mean that you’re also going to do well because again, we’re able
    0:30:30 to culturally trade, we’re able to educate each other, we’re able to, you know, contribute
    0:30:33 each other’s thoughts, and we’re all able to succeed. And so in the wake of the credit
    0:30:36 crisis, I think zero sum thinking kind of came snapping back. And what’s interesting
    0:30:40 is you see that on both the political left and on the right, right? For the anti attack,
    0:30:42 the bloodite sometimes to come out of the left and Marx actually was shot through with
    0:30:45 with leadism, like that’s one of the things he didn’t understand was the positive sum nature
    0:30:49 of productivity growth. And anyway, so you get that on the left, you also get it on
    0:30:53 the right, right? And you get it on the right, you get in the form of populism, right, which
    0:30:59 in the form of opposition to trade and opposition to immigration, right? And so I just think
    0:31:02 as a culture as an economy as a country right now, if you think that the formulation is
    0:31:08 zero sum, you will then do things that will cause it to get worse. For example, on the
    0:31:11 right, you’ll want trade barriers, right? And so you’ll want to cut trade under the
    0:31:14 theory that that will make your people better. In reality, cutting international trade makes
    0:31:19 your people worse. You’re dividing up a smaller pie. Yeah, you’re shrinking the economy for
    0:31:21 everybody for no reason other than that you’re just mad at other people because you think
    0:31:24 it’s their fault that you’re not doing well. And so it’s zero some thinking. And then on
    0:31:28 the left right now, it’s this anti tech sentiment where like if those tech people are doing well,
    0:31:31 then somebody else must be suffering, somebody else must be eating it. And it’s just it’s
    0:31:35 the same sort of extremely reductionist thinking. And of course, the risk is as that sentiment
    0:31:39 builds that at least a policies that actually impair the ability to be able to make progress,
    0:31:43 make progress in the economy, make progress with productivity growth, make progress with
    0:31:46 job creation, make progress with wage creation. And so there’s a pretty big risk that this
    0:31:50 is all gonna go pretty seriously sideways for the wrong reason. Right. Let’s take the
    0:31:55 tech backlash argument from a slightly more maybe sympathetic level, which is critiques
    0:32:01 that have come from within the tech sector that the original vision of the web that inspired
    0:32:07 so much of us, which was going to be this decentralized platform that was going to distribute
    0:32:11 the kind of power of self publishing and voice to far more people. And it was going to kind
    0:32:17 of topple this big, heavy, top heavy mass media model. That’s what inspired a lot of people
    0:32:21 to get involved in it in the first place. At the end of that process, we’ve ended up
    0:32:26 with, you know, four or five companies that in terms of their command over people’s attention
    0:32:31 probably are the most powerful companies that have ever been on this planet and also some
    0:32:37 of the greatest concentrations of wealth. So inside the tech sector, people say, re decentralized
    0:32:41 the web and then we need to look at technologies that will enable us to have, you know, a more
    0:32:46 even distribution in terms of the companies in terms of people’s attention and so on.
    0:32:49 And blockchain is part of that. There’s some argument that people have been making along
    0:32:54 those lines. How sympathetic are you to that side of the case, which does align with some
    0:32:58 of the critiques that big tech is too big that are coming from people outside the tech
    0:33:02 sector? Yeah. So there’s a technical argument for a decentralization. And then there’s
    0:33:08 the kind of other thing that you’re getting at, which is should there be some like policy
    0:33:14 answer to the big tech companies? And I think that, you know, you have to be very careful
    0:33:19 there and look at specifically what’s going on. Well, are they kind of harming? Are they
    0:33:26 suppressing innovation? So do people like us no longer want to fund anything because,
    0:33:30 you know, Facebook or Amazon will wipe it out. And if you look at the numbers, there’s
    0:33:35 probably more startups than there have ever been. And what we’re seeing and what we’re
    0:33:41 funding is like super interesting. And, you know, for the most part, isn’t existentially
    0:33:47 threatened all the time by those companies. Once you introduce policy, the potential side
    0:33:54 effects are, you know, really scary, cronyism, corruption, the people who have the best relationship
    0:33:58 get the best deal and these kinds of things. And that has knock on effects that are very
    0:34:02 difficult. And, you know, if you compare it to the early nineties, when Microsoft was
    0:34:07 super strong, that was really actually a far bigger suppression of innovation. There was
    0:34:12 way less venture capital. There were far fewer companies being created. But like the technology
    0:34:16 took care of it over time. And I think technology is changing at a faster rate now than it was
    0:34:20 then. And there’s blockchain and there’s quantum computing. And there’s many technologies
    0:34:25 on the horizon that could rejigger the playing field, you know, without a policy intervention.
    0:34:30 Another question about the blockchain possibilities, you know, I’ve been really enjoying reading
    0:34:36 Chris Dixon writing about this over the last year or two. And there is really an interesting
    0:34:44 new way of incentivizing and compensating people both inside a technical organization associated
    0:34:49 with an open protocol, early users of the service where all of those people are participating
    0:34:54 in the value that’s created with it. And thinking back to the early stock option participation
    0:34:58 of noise, you know, I wonder whether this, this suggests maybe that there’s a new model
    0:35:03 here that might be as revolutionary as those kind of option plans were.
    0:35:06 So the good news is the tech industry has had two models for making forward progress.
    0:35:10 One has been what you might call pure capitalism, which is corporations, right, which is sort
    0:35:14 of C corporations, employees, stock options, all the things we can take companies public
    0:35:17 with that traditional structure. And then there’s been this other structure all the
    0:35:21 way over on the ideological spectrum, right, which is open source, right, which is basically
    0:35:24 the tribe, right, of developers that are interested in having something happen, coming together,
    0:35:28 by the way, geographically distributed all over the world in a lot of cases, right, and
    0:35:31 great examples, Linux and the web itself is an example of this and so forth. Actually,
    0:35:36 the Internet, TCPIP was an example of this, right, or the new project MIT was an example
    0:35:40 of this and people, technical people coming together and volunteering, right, literally
    0:35:43 with metaphors like barn raising, right, it’s just like come together and make sort of breathe
    0:35:47 life into these projects without a financial incentive and generally without, you know,
    0:35:51 at least direct financial rewards. So sort of polar opposite of corporations you can
    0:35:58 get. Blockchain is the first new third thing in, I don’t know, probably 40 years, right,
    0:36:01 free software open source is like 40 years old. It’s the first new structure in 40 years
    0:36:05 and it’s an interesting one because it’s a hybrid. It’s got the, it’s your point, it
    0:36:08 has the decentralization of open source, right. These are protocols. These are things
    0:36:12 that run Internet wide. These are things that are not necessarily developed by a team of,
    0:36:15 you know, 100 people in a building in the Bay Area. They have that kind of open source
    0:36:20 characteristic to them and they are decentralized. Like their protocols are inherently decentralized,
    0:36:25 but they’ve got capitalism wired in. They’ve got money wired in, right, right, into the
    0:36:29 protocol, right, in a way where there is a direct reward and incentive for the people
    0:36:34 who actually create the thing. There’s a reward and incentive for the people who use the thing.
    0:36:37 And then there was a reward and incentive for the so-called miners, the people who actually
    0:36:40 run all the computers all over the Internet that make these things work. And it’s just
    0:36:44 been so fascinating to watch because this is one of those kind of moments where people
    0:36:47 walk up to this idea. And if they walk up to it from the right, they’re like, what on
    0:36:52 earth is this decentralized hippy, like what on earth are you people doing? If they walk
    0:36:55 up from the left, they’re like, Oh my God, it’s got money in it. It must be evil, right.
    0:36:58 It’s sort of this weird, you got to kind of wrap your head around it. And so what we see
    0:37:01 is like, it is fundamentally a third model for innovation. And I will also say this,
    0:37:06 the thing that we see that I think maybe other people are missing, many of the smartest programmers
    0:37:13 and mathematicians and economists and theorists and systems builders in the world and photographers
    0:37:17 in the world are obsessed with this, like they’re just magnetically drawn to it, not
    0:37:20 because of the money or this or that or the hype or whatever, because of the technical
    0:37:23 innovations that are underneath this that are making this possible and what can come
    0:37:26 out of this. And we just think like that’s the most positive sign you can possibly see.
    0:37:30 We just have about five minutes left. So I want to just cover a couple of other giant
    0:37:36 topics, artificial intelligence and the superintelligence debate. Can we solve that in about two minutes?
    0:37:41 Can you give me, is this a legitimate concern? Is it appropriate to be worrying about the
    0:37:47 threat from superintelligence now? Of the really scary things in technology. I would
    0:37:51 have that one pretty low on my list. I mean, I think that one, like, I think it’s a little
    0:37:56 bit of a miss, you know, intelligence is a funny word, right? Like, what is intelligence?
    0:38:01 And it’s not one dimensional. And there are a lot of things that we have considered intelligence,
    0:38:05 like doing hard math problems. Computers are already more intelligent, like playing chess.
    0:38:09 Computers are already more intelligent. But there’s a lot of dimensions of intelligence
    0:38:15 that computers are nowhere on. And AI, nobody is demonstrating anything in AI that says
    0:38:20 like it’s going to get comprehensively more intelligent and certainly nothing along the
    0:38:26 lines of free will yet. So yeah, maybe, maybe it’ll happen. But of all the things, it’s
    0:38:30 a very theoretical. So I think it’s a little overblown. I do think also that there’s a
    0:38:34 motivation of technologists to, it’s a very kind of, it makes you seem very intelligent
    0:38:38 when you can talk about the robots taking over the world. So it’s a great thing to talk
    0:38:42 about. The thing that drives you bananas is it’s the freaking physicists. And it’s like,
    0:38:47 I’m a computer scientist. I don’t have like crazy conspiracy theories about black holes.
    0:38:51 You know, I guess I could, you know, like in theory, a black hole could open up here in
    0:38:55 this room and swallow us all. Like, I don’t have crazy theories about dark matter. Like
    0:38:57 I’m not worried there’s dark matter in the glass. I’m not going to go around telling
    0:39:00 everybody it’s going to, it’s just like, I don’t know why.
    0:39:04 Yeah, it’s hard to find an AI expert who goes, Oh, yeah, this is a big problem.
    0:39:07 Well, in fact, in the AI experts, of course, tend to be worried about the opposite, which
    0:39:09 is they’re like, Oh, shit, expectations are getting set.
    0:39:12 Like, we’re never going to build that. We’re never going to build the robot apocalypse.
    0:39:16 I’m still trying to get the thing to play Mario Brothers, right? Like, oh.
    0:39:21 Okay. So last question, I’d love to hear what you think, looking forward to the next
    0:39:27 kind of 20 years, what’s the thing that you’re most curious to see how it turns out, right?
    0:39:30 Where you think maybe it’s going this way, but you really are just dying to fast forward
    0:39:33 20 years and be like, Ah, that’s what happened with that. Like, what’s the biggest kind of
    0:39:36 question mark that you have over the next, say, two decades?
    0:39:41 So the thing that makes my brain melt is this, now that we can program biology, so that kind
    0:39:48 of, or we’re getting to the point where we can program biology, you know, the first step
    0:39:53 is, you know, your one kind of dimension of that is, you know, solving disease, you know,
    0:39:59 in a much, much better way, you know, another aspect of it is creating better humans. And
    0:40:04 I’m very fascinated to see how that comes out and what it ends up meaning. And, you know,
    0:40:09 whether it goes horribly wrong or incredibly right, and what does that even mean better
    0:40:15 humans and how will, like, are humans even suited to, like, figure that out. So that,
    0:40:18 from a curiosity standpoint, I would say that for me is probably it.
    0:40:23 Yeah, yeah. The thing I think a lot about is, so through all of recorded history, and this
    0:40:26 is why I just think that a lot of the tech credit assistants are just misguided, through
    0:40:31 all of recorded history, most people have not been, I would say, most people have not been
    0:40:35 plugged into what we would consider to be modern systems, right? So most people have
    0:40:38 not been literate. Most people have not been healthy. Most people have not been fed well
    0:40:42 enough to be able to reach full health maturity. Most people have not been educated and still
    0:40:47 aren’t right to the level that we could consider modern. Most people don’t have access to economic
    0:40:51 opportunity that we would consider to be, you know, modern jobs. Most people don’t have
    0:40:55 access to what we consider to be high quality healthcare. Most people don’t have access to
    0:40:58 high quality housing, transportation, you just go right down the list of all these things
    0:41:01 that we’ve been lucky enough in this country to enjoy, you know, large percentage of the
    0:41:05 population for a long time. Most people in the world have not had access to those things.
    0:41:10 And I know that the existing systems, existing education system, the existing healthcare system,
    0:41:15 the existing transportation system has had, you know, 50, 100, 200, 500 years to get to
    0:41:18 the 7 billion people on the planet. It’s only gotten to every one of those systems has only
    0:41:22 gotten a fraction of the people. And now we finally have the way to get right to everybody.
    0:41:27 We get we’re at the point where 3 billion smartphones on its way to 6, 7 billion on the planet, we’re
    0:41:30 going to be able to connect everybody. We’re going to be able to get over time, we’re going
    0:41:32 to be able to get everybody all the things that I went through, right, starting by the
    0:41:36 way with education, right, as sort of a foundational one. And so what is it going to mean for the
    0:41:41 planet when everybody around the planet all of a sudden starts to, I would say, become
    0:41:45 part of the systems that we know and understand. And we literally have 10, 20 times the number
    0:41:48 of people around the planet who are contributing in all these different areas. And I just don’t
    0:41:52 understand how people can be possibly pessimistic about the future knowing that that’s the potential.
    0:41:54 And I think we’re going to see that. And I think our kids are going to see that. And
    0:41:59 I think that’s very exciting. Yeah, that is. Okay, so we covered Knight Rider, Karl Marx
    0:42:03 and universal education for the planet. I think we’ve done our job. Thank you guys. That
    0:42:07 was great. Thank you. Thank you, everybody. Thank you. Thank you.
    0:42:10 (audience applauding)

    with Marc Andreessen (@pmarca), Ben Horowitz (@bhorowitz), and Steven Johnson (@stevenbjohnson)

    Continuing our 10-year anniversary series since the founding of Andreessen Horowitz (aka ”a16z”), we’re resurfacing some of our previous episodes featuring Andreessen Horowitz founders Marc Andreessen and Ben Horowitz.

    This episode was actually recorded in 2017 at our annual innovation Summit, and features technology writer Steven Johnson interviewing Ben and Marc about everything from their relationship to creative inspirations.

    You can find other episodes in this series at a16z.com/10.

  • a16z Podcast: Beyond Software Eating the World

    AI transcript
    0:00:03 The content here is for informational purposes only,
    0:00:05 should not be taken as legal business tax
    0:00:06 or investment advice,
    0:00:09 or be used to evaluate any investment or security
    0:00:11 and is not directed at any investors
    0:00:14 or potential investors in any A16Z fund.
    0:00:18 For more details, please see a16z.com/disclosures.
    0:00:21 – Hi everyone, welcome to the A6 and Z podcast.
    0:00:22 I’m Sonal.
    0:00:25 So this week to continue our 10-year anniversary series
    0:00:27 since the founding of A6 and Z,
    0:00:28 we’re actually resurfacing
    0:00:30 some of our previous episodes
    0:00:33 featuring founders, Mark Andreessen and Ben Horwitz.
    0:00:34 If you haven’t heard the latest episode
    0:00:36 with Stuart Butterfield turning the tables
    0:00:38 as the entrepreneur interviewing them,
    0:00:41 please do check that out and other episodes
    0:00:45 in this series on our website at a6andz.com/10.
    0:00:48 But this episode was recorded in 2016
    0:00:50 on the five-year anniversary
    0:00:52 of Mark’s Wall Street Journal op-ed
    0:00:55 on why software is eating the world.
    0:00:57 And it features me and Scott Cooper
    0:01:00 asking Mark and Ben about what’s changed since
    0:01:03 and how software is now programming the world.
    0:01:05 And we discuss everything from simulations
    0:01:09 to distributed systems to other key computing shifts.
    0:01:10 Welcome guys.
    0:01:11 – Hey, thank you.
    0:01:13 – Okay, so let’s just kick things off.
    0:01:15 One of the things that I want to understand
    0:01:16 is that it’s been since fund one,
    0:01:18 which is what, seven years ago?
    0:01:20 Yeah, seven years ago.
    0:01:21 A lot’s changed in seven years.
    0:01:22 And I’ve actually heard you argue, Mark,
    0:01:24 that things have accelerated in that time period,
    0:01:27 more so than previous decades before.
    0:01:29 So what do you think are the biggest shifts now
    0:01:31 that are important to us in this newest fund
    0:01:34 and what changed in that period, like the biggest things?
    0:01:37 – So in fund one, when we started,
    0:01:39 we thought that our timing was really good,
    0:01:42 despite the fact that I think the world thought
    0:01:43 our timing was really bad
    0:01:45 and starting a new venture capital fund.
    0:01:47 And the reason why we thought that was that
    0:01:50 there were three gigantic new platforms
    0:01:51 hitting all at the same time,
    0:01:56 which was kind of unprecedented in the history of technology.
    0:01:58 One was mobile, the second was social,
    0:02:00 and the third was cloud.
    0:02:02 And that really proved out
    0:02:04 through the course of the early history
    0:02:06 that the applications on top of those,
    0:02:11 particularly mobile and cloud were just spectacular.
    0:02:13 And I think we’re coming a little bit
    0:02:17 to the end of the first phase of the,
    0:02:19 some of the obvious applications
    0:02:20 that could be built on those things
    0:02:22 and we’re moving into some new areas.
    0:02:25 – Yeah, so let me go to the foundations.
    0:02:26 So there’s different ways of looking at it.
    0:02:27 The foundation levels.
    0:02:30 One is Moore’s law has really flipped.
    0:02:31 And this actually has happened.
    0:02:32 I think this actually has happened
    0:02:33 over the last seven or eight years,
    0:02:35 actually almost exactly over the life of the fund,
    0:02:37 which is for many, many years,
    0:02:40 Moore’s law was a process of the chip industry
    0:02:42 bringing out a new chip every year and a half
    0:02:45 that was twice as fast as the last one at the same price.
    0:02:47 And that continued for 40, 50 years.
    0:02:49 And that’s, by the way, what resulted in everything
    0:02:51 from mainframes, mini computers, PCs,
    0:02:55 and then smartphones, about seven, eight, nine,
    0:02:57 10 years ago, that process actually started to come in
    0:02:59 and the way that it had worked up until then.
    0:03:00 So chips have kind of topped out
    0:03:02 at a speed of about three gigahertz.
    0:03:04 And a lot of people have said, therefore,
    0:03:06 like progress in the tech industry is gonna stall out
    0:03:07 because the chips aren’t getting faster.
    0:03:09 I think what’s actually happened is Moore’s law
    0:03:10 has now flipped and the dynamic now,
    0:03:12 instead of increased performance has reduced cost.
    0:03:15 You now have this dynamic where every year, year and a half
    0:03:16 the chip companies come out with a chip
    0:03:18 that’s just as fast, but half the price.
    0:03:21 And so this is this sort of, just this massive deflationary
    0:03:23 force, I think in the technology world.
    0:03:27 And I actually also suspect in the economy more broadly,
    0:03:28 we’re basically computing is just becoming free.
    0:03:31 Basically what we do in this business is we just kind of
    0:03:33 chart out the graphs and then just kind of assume
    0:03:34 at some point you’re gonna get to the end state
    0:03:36 and the end state is gonna be the chips are gonna be free,
    0:03:38 which means chips will be embedded in everything.
    0:03:40 You’ll be able to use chips for literally everything.
    0:03:42 And we’ve never lived in a world before where you can do that.
    0:03:44 So that’s the first one.
    0:03:46 Second one is just the obvious implication from that,
    0:03:48 which is all those chips will be on the network, right?
    0:03:50 So all those chips will be connected to the internet.
    0:03:52 They’ll all be on wifi or mobile carrier networks
    0:03:53 or wired networks or whatever,
    0:03:55 but they’ll all fundamentally be on the internet.
    0:03:57 You know, that’s something that’s not happening
    0:03:59 at a very rapid pace.
    0:04:01 And then the third is the continuation of the piece
    0:04:03 that I wrote actually five years ago,
    0:04:04 which was called software eats the world,
    0:04:06 which is basically just say if you’re gonna live in a world
    0:04:08 in which there’s gonna be a chip in every physical object.
    0:04:11 And if you live in a world in which every physical object
    0:04:12 therefore is going to be networked,
    0:04:14 it’s gonna be smart because it has a chip
    0:04:15 and it’s gonna be connected to the network.
    0:04:17 Then basically you can then program the world.
    0:04:19 You can basically write software
    0:04:20 that applies to the entire world.
    0:04:22 So you can write software that all of a sudden applies
    0:04:24 to all cars or you can write software that applies
    0:04:27 to all, you know, everything flying in the sky.
    0:04:29 You can write software that applies to all buildings.
    0:04:31 So you can write software that applies to, you know,
    0:04:35 all homes or all businesses or whatever, all factories.
    0:04:36 And so all of a sudden you can kind of,
    0:04:37 you can program the world.
    0:04:39 That’s really just starting.
    0:04:40 And I think a lot of the,
    0:04:42 there’s a number of things that make the entrepreneurs
    0:04:44 we’re seeing these days in many ways more interesting
    0:04:45 and more aggressive than entrepreneurs
    0:04:47 who’ve seen the past and part of it is they just assume,
    0:04:49 if there’s something to be done in the world,
    0:04:51 there must be a way to write software to be able to do it.
    0:04:54 That’s at a new level of power sophistication.
    0:04:57 It’s a new scope of what the tech industry can do.
    0:04:59 The consequence of that for us as a fund
    0:05:01 is that we find ourselves evaluating business plans
    0:05:03 and funding companies that are in markets
    0:05:04 where I think seven or eight years ago
    0:05:06 we would have never anticipated operating.
    0:05:09 – So Mark, does that mean that there’s no new innovation
    0:05:11 in platforms themselves and everything?
    0:05:12 All the innovation will be applications
    0:05:14 that ride on that existing infrastructure?
    0:05:16 Or do you think there’s also the opportunity
    0:05:19 to build a new platform, even given some of those trends?
    0:05:20 – I think there are new platforms
    0:05:21 and I think there will be new platforms.
    0:05:23 I just think there’ll be different kinds of platforms
    0:05:24 than we’ve had in the past.
    0:05:26 The idea of a platform in the tech industry, as you know,
    0:05:29 up until five or 10 years ago was there is a new chip
    0:05:31 that has new capabilities is faster
    0:05:33 and then therefore you build a new operating system for it.
    0:05:36 And that might be Windows or it might be iOS
    0:05:37 or whatever it is.
    0:05:39 The platforms that we’re seeing getting built these days
    0:05:42 are distributed systems, so scale out systems.
    0:05:44 Instead of being built on a chip necessarily
    0:05:45 with new unique capabilities,
    0:05:47 they are platforms that are going to build
    0:05:48 across lots of chips.
    0:05:49 And so they’re in computer science terms,
    0:05:51 they’re distributed systems.
    0:05:52 Cloud is one of the first examples, right?
    0:05:55 So anybody who uses AWS can now go on
    0:05:57 and can program an application on AWS
    0:05:59 that will run across 20,000 computers
    0:06:02 and they can run it for an hour and it’ll cost 50 bucks.
    0:06:06 And that’s a kind of platform that did not exist before.
    0:06:08 And by the way, there are many specific elements to that.
    0:06:10 So for example, we’ve seen the rise of,
    0:06:11 in that category, seen the rise of Doop
    0:06:14 and otherwise the spark for distributed data processing.
    0:06:16 We’ve seen in financial technology,
    0:06:18 we’ve seen the rise of Bitcoin and cryptocurrency,
    0:06:20 which is a literally distributed platform for currency
    0:06:22 and for exchanging value.
    0:06:25 And now we’re seeing the emergence of a major new platform,
    0:06:28 which is AI, machine learning and deep learning,
    0:06:30 which is inherently, the great thing about machine learning
    0:06:33 and deep learning is they’re inherently parallelizable.
    0:06:34 They can run across many chips
    0:06:36 and they get very powerful as you do that.
    0:06:40 And you can do things in AI today as a consequence
    0:06:41 of being able to run across many chips
    0:06:43 that you just couldn’t even envision
    0:06:44 doing five or 10 years ago.
    0:06:46 – So let’s talk about the rise of the GPU
    0:06:47 as part of this next platform ship.
    0:06:49 I mean, I think the biggest surprise people have had
    0:06:51 is that this is the graphical processor unit,
    0:06:54 which is something that was developed in the gaming industry
    0:06:57 for really high resolution graphics processing
    0:06:59 and is now finding, I guess, unexpected.
    0:07:02 Is it a surprise to us that it’s finding uses
    0:07:05 in these new platforms like VR, AR, deep learning?
    0:07:06 – It’s actually interestingly,
    0:07:08 it’s a new application of an old idea
    0:07:09 back when I was getting started 30 years ago
    0:07:11 working in physics labs.
    0:07:13 If you wanted to run just a normal program,
    0:07:16 you just buy a normal computer and run the program.
    0:07:19 But if you wanted to do, run a program,
    0:07:21 many physics simulations had this property
    0:07:24 where you would want to run a very large number
    0:07:25 of calculations in parallel, right?
    0:07:27 And so you could basically divide up a problem
    0:07:29 of simulating anything from a black hole
    0:07:32 or to different kinds of biological simulations.
    0:07:34 You could basically write these algorithms
    0:07:35 in a way that they could run,
    0:07:36 you could basically parcel the problem
    0:07:38 into many different pieces
    0:07:39 and then run them all in parallel.
    0:07:41 There was actually in the old days,
    0:07:42 there was actually a whole industry
    0:07:43 of what we’re called vector processors,
    0:07:46 which were literally these kind of sidecar computers
    0:07:48 that you would buy and you would hook up to your main computer
    0:07:49 and they would let you run these parallel problems
    0:07:51 much faster.
    0:07:53 And so literally 30 years later, the GPU is a,
    0:07:54 it’s basically a vector processor.
    0:07:56 It’s basically a sidecar processor that sits along the CPU
    0:07:58 and runs these parallel problems much faster.
    0:08:01 And graphics are a natural application of that,
    0:08:03 but as it turns out, graphics aren’t the only application.
    0:08:05 – Yeah, actually interestingly,
    0:08:07 and I was at a company making one of these
    0:08:11 called Silicon Graphics and the applications then,
    0:08:13 whereas Mark was saying a lot of physics applications,
    0:08:16 computational fluid dynamics and simulating,
    0:08:18 flight simulation and all these kinds of things
    0:08:20 that are hard physics to calculate.
    0:08:21 When you go into the virtual world
    0:08:23 and you’re simulating the physics of the real world,
    0:08:24 guess what?
    0:08:27 You need the exact same processor to do it.
    0:08:31 So it’s a super logical conclusion to what’s been going on,
    0:08:35 but I think we’re also in the world of big data,
    0:08:39 seeing kind of more reasons to do just lots of math in parallel.
    0:08:42 And so it’s an exciting application.
    0:08:43 – Yeah, you talk about platforms.
    0:08:45 One of the really interesting hardware platforms
    0:08:47 is emerging right now is NVIDIA,
    0:08:49 which is a very well-established public chip company,
    0:08:50 but very successful to your point,
    0:08:53 doing graphics chips for a very long time,
    0:08:55 has become seemingly overnight.
    0:08:57 It’s really, of course, the result of years of work,
    0:08:59 but seemingly overnight has become the market leader
    0:09:03 in both not just GPUs, but also in chips being used for AI.
    0:09:05 And it’s basically extensions of the GPU technology.
    0:09:08 And we see this overriding theme,
    0:09:09 which is kind of an amazing thing,
    0:09:12 which is basically every sharp AI software entrepreneur
    0:09:15 that comes in here is now building on top of NVIDIA’s chips,
    0:09:17 which is, of course, a very different outcome
    0:09:18 than entrepreneurs of previous years
    0:09:20 who would have built other kinds of programs
    0:09:22 primarily on top of Intel chips.
    0:09:24 – We’ve mentioned AI and machine learning a couple of times here.
    0:09:25 And one of the interesting things,
    0:09:28 at least I think we see in the industry is,
    0:09:29 at the same time we’ve got startups doing it,
    0:09:32 we also see some of the very large established players
    0:09:34 investing significantly in AI and machine learning.
    0:09:37 So certainly Facebook and Google, Apple and others
    0:09:39 are obviously building big operations.
    0:09:41 How do you think about the universe
    0:09:42 from an investment perspective?
    0:09:44 What are the kinds of things that actually led themselves well
    0:09:47 to startup opportunities in the AI space
    0:09:49 versus things that actually might make sense,
    0:09:52 kind of living inside of one of the larger companies
    0:09:53 like a Facebook or Google?
    0:09:55 – Yeah, so AI is extremely broad.
    0:09:58 And I think one of the challenges that people have with it
    0:10:01 is they try to paint it as a narrower thing than it is,
    0:10:04 but one can think of it as an entirely new way
    0:10:07 to write a computer program.
    0:10:12 And so then it’s applicable to the universe of problems.
    0:10:15 So there are things that advantage a big company.
    0:10:18 If you’re building AI to analyze consumer internet data,
    0:10:20 like that’s hard to take Google on at that.
    0:10:22 They do have an awful lot of data.
    0:10:26 And Facebook with AI, computing power matters
    0:10:28 and the data set matters.
    0:10:30 Having said that, there are a lot of areas
    0:10:32 where nobody has any data yet
    0:10:37 in the areas of healthcare and the areas of autonomy.
    0:10:40 So there’s lots and lots of opportunities.
    0:10:44 And there’s also interesting ideas
    0:10:46 about, well, is there a better user interface
    0:10:49 than the smartphone using AI techniques
    0:10:50 and then what is the form of that?
    0:10:51 – What do you mean by that
    0:10:53 when you say there’s a better user interface?
    0:10:55 – Well, if you think about a smartphone,
    0:10:58 it was kind of an advance over what we used to call
    0:11:03 the WIMP interface, Windows icons.
    0:11:05 What was it?
    0:11:06 – Menus.
    0:11:07 – Menus.
    0:11:07 – What was it, P?
    0:11:08 – Pointer.
    0:11:09 – Pointer, right.
    0:11:12 – Which was like a big advance
    0:11:15 over the text-based interface of DOS.
    0:11:18 And then the smartphone with a touch interface,
    0:11:20 so it was more of a direct manipulation
    0:11:21 was an advance over that.
    0:11:23 And so you’d go, okay, well,
    0:11:27 but that’s not actually what people do in life, right?
    0:11:30 Like it’s anthropologically,
    0:11:34 it’s a backward step in terms of the natural interface
    0:11:36 so that we’ve become accustomed to,
    0:11:38 like for example, natural language.
    0:11:40 With AI, you get into a world
    0:11:44 where things like natural language and natural gestures
    0:11:46 and so forth become much more plausible.
    0:11:48 So there’s potentially an opportunity
    0:11:52 to build interfaces for things that you couldn’t before.
    0:11:54 I mean, I think there’s one really interesting thing,
    0:11:57 which I’m sure, and I know that Google and Apple
    0:11:59 and all the giant companies are very focused on,
    0:12:02 which is how do you replace the current set
    0:12:03 of user interfaces with it?
    0:12:05 But there’s another dimension,
    0:12:08 which is what are all the applications
    0:12:10 that you just couldn’t have before
    0:12:13 because you couldn’t build a workable user interface for it.
    0:12:17 And AI seems very promising in those areas.
    0:12:18 – You didn’t mention Amazon,
    0:12:19 which is sort of the stealth player here
    0:12:21 with Echo and Alexa.
    0:12:23 I mean, really, George and Horace have been home.
    0:12:26 Well, in a way, they’ve got an interesting advantage
    0:12:28 in that they’re not tight
    0:12:31 to the last generation of user interfaces
    0:12:34 so that they don’t have to pay the strategy tax
    0:12:39 for shoehorning in their AI into, say, the iPhone.
    0:12:40 And that’s something.
    0:12:41 – Yeah, that’s worth pointing out.
    0:12:43 There’s sort of two kind of classic rules of thumb
    0:12:44 in this industry.
    0:12:46 One is for major new advances,
    0:12:47 especially in things like interfaces,
    0:12:49 if you don’t own a platform, you can’t do them.
    0:12:52 And so the assumption I think had been up until recently,
    0:12:53 that it would have to be Google or Apple
    0:12:54 that does these kind of natural language
    0:12:57 or interface advances ’cause they own iOS and Android.
    0:13:00 The other rule, of course, is the exact opposite rule,
    0:13:01 which is the one that Ben mentioned,
    0:13:03 which is the problem that big established companies
    0:13:06 get into is this, what he referred to as the strategy tax,
    0:13:09 which is basically big companies with existing agendas
    0:13:11 have to sort of fit their next thing
    0:13:12 into their existing agenda,
    0:13:14 and they often compromise it in the process.
    0:13:16 And so it’s sort of this ironic twist of fate
    0:13:18 that Amazon has all of a sudden taken the lead
    0:13:19 from Google and Apple.
    0:13:22 Even though Amazon famously flopped with their phone,
    0:13:23 which is sort of the obvious place
    0:13:24 where you would have a voice interface,
    0:13:26 it didn’t matter because they came out with this new product,
    0:13:29 which is basically the smart speaker called Echo.
    0:13:32 And the fact that all of a sudden Amazon didn’t have a phone,
    0:13:33 all of a sudden became an advantage
    0:13:35 ’cause they could just do the clean,
    0:13:36 actual breakthrough product
    0:13:38 without worrying about tying it into the existing strategy.
    0:13:40 – Right, and those are all still big companies, though,
    0:13:42 is I’m not really hearing where startups
    0:13:44 can really play in this space,
    0:13:46 especially when you’re describing this huge data network effect
    0:13:48 that all these big companies have.
    0:13:50 – A year ago, we would have probably been sitting here
    0:13:52 and say that AI was gonna be likely,
    0:13:53 would be a domain of big companies
    0:13:55 because of this sort of thing of like,
    0:13:57 okay, only big companies can afford
    0:13:58 the very large number of engineers
    0:13:59 that are required to do AI.
    0:14:01 Only big companies can afford the amount of hardware
    0:14:03 required to do AI.
    0:14:03 And then only big companies
    0:14:06 can get the giant data sets required to do AI.
    0:14:07 In the last 12 months, what we’ve seen basically
    0:14:10 is all three of those changing very fast
    0:14:11 into the advantage of startups.
    0:14:14 We’ve seen a lot of AI technologies actually,
    0:14:16 actually now interestingly standardizing.
    0:14:18 So going to open source and then the next step
    0:14:20 is gonna be they’re gonna go to cloud.
    0:14:22 And we think we’re right on the verge of that.
    0:14:23 We think all the major cloud providers
    0:14:25 are gonna be providing AI as a service
    0:14:27 and they’re gonna really radically reduce
    0:14:29 the amount of technical knowledge you need to apply AI.
    0:14:30 And so that plays very well to the startups.
    0:14:32 – So there will be like an AWS for AI.
    0:14:33 – Yeah, exactly.
    0:14:34 And that may be literally AWS
    0:14:35 or it may be Google or Microsoft
    0:14:38 or all three of them in some combination
    0:14:40 or it may be other companies yet to emerge.
    0:14:42 – An example of the open source like TensorFlow,
    0:14:43 like Google releasing TensorFlow.
    0:14:44 – Yeah, and this is a big deal.
    0:14:45 And of course, yeah, it’s right.
    0:14:46 So Google open source to pretty significant part
    0:14:47 of how they do deep learning.
    0:14:48 And that actually now is something
    0:14:50 that other companies can pick up and use directly.
    0:14:51 And we see actually a lot of,
    0:14:52 not only a lot of companies,
    0:14:53 but like a lot of university,
    0:14:54 a lot of student projects now
    0:14:56 just kind of can pick that up and run with it.
    0:14:59 So this technology is kind of trickling down very fast.
    0:15:01 – Just this past weekend, we had a hackathon.
    0:15:03 And I think most of the teams
    0:15:06 had some machine learning AI component into their hacks.
    0:15:07 And these are college kids.
    0:15:11 – Yeah, if you’re a 21 year old junior in college
    0:15:12 and you’re doing some project,
    0:15:16 it’s just kind of, it’s becoming rapidly becoming very obvious
    0:15:17 that you would have AI be part of it,
    0:15:19 which was very much not the case even full months ago.
    0:15:20 And that’s a direct to your point.
    0:15:22 That’s a direct consequence of the open sourcing
    0:15:24 and kind of this knowledge spreading out.
    0:15:25 The second thing was the hardware costs.
    0:15:27 And there again, the cloud, AI and the cloud,
    0:15:29 just the existence of the cloud
    0:15:30 is bringing down hardware costs across the board,
    0:15:32 but AI and the cloud is gonna bring that down even further.
    0:15:34 And by the way, these trends all slam together.
    0:15:37 So you get what I think in a year is gonna be very common.
    0:15:39 These sort of AI supercomputing chips
    0:15:41 with the AI algorithms in the cloud
    0:15:43 available to anybody for a dollar, right?
    0:15:44 And so there’s gonna be this massive deflation
    0:15:47 of hardware cost on that side.
    0:15:48 These big data sets are interesting.
    0:15:50 Ben made the case that the startups
    0:15:51 can assemble big data sets.
    0:15:53 And I think that there are certainly examples of that.
    0:15:55 We also see another thing happening,
    0:15:57 which is the newest generation of experts in deep learning
    0:15:59 or many of them are specializing in the idea
    0:16:01 of deep learning applied against small data sets.
    0:16:03 If you talk to those folks, what they’ll tell you is,
    0:16:06 oh, basically, they’ll basically say is
    0:16:08 primitive and crude deep learning required big data sets,
    0:16:09 but the really good stuff doesn’t.
    0:16:11 It is small data sets are fine.
    0:16:13 And so that’s still very early,
    0:16:14 but it’s extremely enticing.
    0:16:16 It’s an extremely enticing idea
    0:16:18 because it really brings a lot of these problems
    0:16:21 to your point further into being tractable
    0:16:22 for small companies.
    0:16:24 But actually, one of the things you can do
    0:16:25 with these, especially with these GPUs
    0:16:27 is you can literally use the same tools
    0:16:29 that are used to make video games.
    0:16:32 And you can create simulated versions of the real world.
    0:16:34 And then you can actually let the AI train
    0:16:35 inside the simulation.
    0:16:36 And so if you’re building a new self-driving car
    0:16:38 or a drone or something like that,
    0:16:39 you can actually create simulated worlds
    0:16:42 in which there are everything from earthquakes,
    0:16:46 to floods, to thunderstorms, hail storms.
    0:16:48 You can create birds, swarms of birds.
    0:16:51 You can literally simulate the real world environment.
    0:16:53 And then you can let the AI actually train inside that world.
    0:16:54 And actually, it’s funny,
    0:16:56 the AI actually has no idea it’s training
    0:16:57 in the virtual world.
    0:16:58 It’s learning just the same
    0:16:59 as if it were learning in the physical world.
    0:17:02 And so again, for startups with access to cloud-based AI,
    0:17:05 you could potentially run basically millions of hours
    0:17:07 of simulated training at a very low cost
    0:17:08 and all of a sudden catch up to big companies.
    0:17:12 – Interestingly, the very famous AI project
    0:17:14 that Google did with DeepMind,
    0:17:17 that whole dataset came from the game “Playing Itself”.
    0:17:19 So, there wasn’t some dataset
    0:17:21 that Google had collected over 20 years.
    0:17:24 It was the game “Playing Itself”.
    0:17:26 – So you guys have both mentioned simulations a few times.
    0:17:27 Why are they so important?
    0:17:28 ‘Cause I feel like there was this period,
    0:17:29 like maybe even a decade ago
    0:17:31 where simulations were almost frowned upon
    0:17:33 as this promised thing
    0:17:35 that didn’t really actually deliver
    0:17:37 in what you needed to be able
    0:17:40 to navigate complex environments in real life.
    0:17:41 – Yeah, well, it’s interesting.
    0:17:45 So was AI, was frowned upon 10 years ago,
    0:17:48 saying it was all, it didn’t work.
    0:17:50 And particularly neural nets and deep learning
    0:17:53 were the most frowned upon area.
    0:17:55 And there’s been similar kind of breakthroughs
    0:17:56 with simulation.
    0:17:58 And first of all, so if you think about the field
    0:18:02 of data science and what you do with data,
    0:18:04 there’s you have a giant set of data,
    0:18:07 which is always historical in nature,
    0:18:08 and you can analyze that.
    0:18:10 And maybe it’s predictive of the future,
    0:18:12 but oftentimes it’s not.
    0:18:15 And we see this in particular in things like,
    0:18:17 really dynamic things where the past affects the future,
    0:18:20 like say stockpicking or the weather
    0:18:23 or other kinds of things where data analysis
    0:18:24 doesn’t get you an accurate answer.
    0:18:26 Simulation is a flip side of that
    0:18:28 where you can say, okay, here are all the entities
    0:18:32 in the world and let’s generate their behavior over time.
    0:18:34 And then their actual behavior feeds back
    0:18:37 into the simulation, which is critical,
    0:18:39 a critical component.
    0:18:42 Historically, that’s been difficult at scale,
    0:18:45 but there have been some really important breakthroughs
    0:18:47 lately, particularly from a company
    0:18:49 that we’re invested in called Improbable,
    0:18:52 which is able to do very large scale,
    0:18:55 scale out simulation using cloud computing techniques
    0:18:59 and some very important new technology
    0:19:00 that they’ve developed.
    0:19:03 And so you can get a really complete picture of the world.
    0:19:06 And as Mark was saying, you can actually generate
    0:19:09 your own dataset rather than collecting it
    0:19:10 for certain kinds of situations.
    0:19:12 Yeah, let me add the thing to that.
    0:19:14 So one way to think about it is it’s expensive
    0:19:15 to make things happen in the real world.
    0:19:17 Like it’s expensive to change things in the real world
    0:19:18 because the real world is physical
    0:19:20 and causing physical changes to happen.
    0:19:21 I mean, everything from building roads to flying planes,
    0:19:23 all these things are very expensive.
    0:19:24 And then things in the real world,
    0:19:26 changes have serious consequences, right?
    0:19:28 And so if you, depending on where you put the dam
    0:19:29 or where you put the airport
    0:19:31 or what your evacuation plan you have for the city
    0:19:32 and if something bad happens,
    0:19:35 like these decisions have huge consequences.
    0:19:36 Which banks you bail out.
    0:19:38 Which banks you bail out.
    0:19:39 Which banks you don’t bail out.
    0:19:41 And so you always have these consequences
    0:19:43 and people who have to make these decisions
    0:19:44 are often flying blind
    0:19:45 ’cause they don’t have any real sense
    0:19:46 of what’s gonna happen
    0:19:47 as a consequence of their decisions.
    0:19:49 In contrast, if you can simulate a world
    0:19:50 and if you can run an experiment,
    0:19:53 if you can simulate the real world or some portion of it
    0:19:55 like the highway system or the banking system or whatever.
    0:19:58 And then you can basically introduce change
    0:19:59 into that simulation
    0:20:00 and you can see what the consequences are.
    0:20:02 It’s very cheap to do that because Moore’s Law
    0:20:04 and the collapse of chips and the rise of cloud computing
    0:20:06 and all these other things we’ve been talking about
    0:20:08 all of a sudden make it very cheap to run the simulations.
    0:20:10 It’s much cheaper to do it in the simulated world.
    0:20:11 And then there are no consequences.
    0:20:13 You run a simulation and everything goes wrong
    0:20:15 and everybody dies
    0:20:16 or the entire financial system collapses or whatever.
    0:20:17 It doesn’t matter.
    0:20:19 You just erase it and you run it again.
    0:20:20 – Yeah, you have infinite testability.
    0:20:22 – Well, I went and challenged that.
    0:20:25 There is Elon Musk simulation in which case
    0:20:27 the consequences are quite dire for us.
    0:20:27 – There is, yes.
    0:20:29 There is a scenario that we’re all living in a simulation.
    0:20:30 – Right, if we’re living in one place.
    0:20:32 – In which case I would argue it’s gone badly awry
    0:20:34 as evidenced by the current political situation.
    0:20:36 – There is no do over button in this simulation.
    0:20:38 – Yes, and then you basically, again,
    0:20:40 you look at the progress of Moore’s Law
    0:20:41 and the rise of these new technologies
    0:20:43 and you say, okay, how about instead of running
    0:20:44 one simulation, let’s run a million simulations
    0:20:46 or let’s run a billion simulations
    0:20:47 and let’s try every conceivable thing
    0:20:49 we can possibly think of and let’s imagine,
    0:20:51 let’s literally model all potential future states
    0:20:54 of the world and then let’s decide which one of those,
    0:20:57 which path is the one that leads to the best consequences.
    0:21:00 And so we can then make these very big real world decisions
    0:21:04 with a lot more foreknowledge of what will unfold afterwards.
    0:21:06 – Maybe just to get concrete on some opportunities,
    0:21:08 what are the other areas and maybe it’s life sciences
    0:21:10 or what are some of the other kind of more tangible areas
    0:21:11 that you think in your term,
    0:21:13 as you think about kind of deploying this fund
    0:21:15 or beyond over the next, you know, five to 10 years
    0:21:17 that might be interesting for, you know, people to think
    0:21:19 about in the context of real world applications
    0:21:20 of this technology.
    0:21:21 – Yeah, so as Mark was saying,
    0:21:24 we’re coming into this era of new platforms
    0:21:27 and with the intersection of health and computer science,
    0:21:30 what we’re saying is really exciting new platforms
    0:21:34 around data and around basically you being able
    0:21:36 to get much more information about someone’s health
    0:21:40 from a variety of techniques that have been developed,
    0:21:43 you know, based on the kind of historic breakthroughs
    0:21:47 and sequencing the genome, but beyond that as well,
    0:21:51 where we can get really, really powerful data about people
    0:21:54 and understand them better.
    0:21:55 And once you have that data about people
    0:21:58 when you can be predictive of diseases
    0:22:00 that they might get or things that are wrong
    0:22:02 and you aggregate that into a platform,
    0:22:05 then you can actually make new scientific discovery
    0:22:06 off it as well.
    0:22:08 So that’s one interesting area.
    0:22:11 There’s, if you think about the AI platform itself,
    0:22:14 one of the things about it is the hardware
    0:22:17 that’s been built for it or that’s been built historically
    0:22:20 is for a completely different kind of computer programming.
    0:22:23 And we’ve seen Google already announced a chip
    0:22:25 to power their deep learning cloud.
    0:22:28 And, you know, similarly there’s new breakthroughs
    0:22:31 and quantum computing, which at least on the surface
    0:22:33 look like they may be very promising
    0:22:37 for much more powerful deep learning systems and so forth.
    0:22:39 So there’s a lot of things
    0:22:41 that are coming out of these platforms.
    0:22:43 And then, you know, as we get to a chip and everything,
    0:22:47 the platforms to run and manage and understand those chips
    0:22:50 are equally as exciting.
    0:22:52 – So, you know, one of the themes that’s come up through here
    0:22:55 is that tech is reaching into places it never did before.
    0:22:57 I mean, every company is becoming a tech company
    0:23:00 or they have tech inside, or as Benedict likes to say,
    0:23:01 growing the tech industry,
    0:23:04 the reality is it’s permeating everywhere.
    0:23:06 And the question I have for us
    0:23:08 is that we are founded on this thesis
    0:23:10 that software is eating the world, that’s our premise.
    0:23:12 And yet we’ve seemed to have been making
    0:23:14 a lot of hard investments, you know,
    0:23:18 if you count things like Soylent, Oculus, Nutribox.
    0:23:21 So are we changing our thesis about hardware
    0:23:23 as a result of this software eating the world?
    0:23:24 – No, I don’t think so.
    0:23:26 I mean, I think that what we see
    0:23:29 with the companies that you’ve named are interesting.
    0:23:31 So, Oculus, I think we would all agree
    0:23:33 that the software component of Oculus
    0:23:37 is both more complex, has many more people working on it
    0:23:39 and is kind of the core of the investment.
    0:23:42 Sometimes if you have a breakthrough technology,
    0:23:45 then you require a new hardware to actually support it.
    0:23:46 And that’s the case there.
    0:23:49 And I think that Soylent and Nutribox,
    0:23:51 both of them apply computer science techniques
    0:23:54 and information technology to get people to optimal health.
    0:23:56 And that’s what we’re doing there.
    0:24:00 So I think we’re big, big believers that, you know,
    0:24:03 in the last 100 years, the great breakthroughs
    0:24:05 and knowledge have been the breakthroughs
    0:24:08 of people like Alan Turing and Claude Shannon
    0:24:10 who gave us a new model of the world
    0:24:12 and how to understand it.
    0:24:16 And companies that build on that fundamental knowledge
    0:24:18 breakthrough are what we’re about
    0:24:20 and will continue to be about that.
    0:24:22 – Even if some of them may ship their products in a box.
    0:24:25 – Yes, the package is not a technology.
    0:24:27 Let’s talk a little bit about SaaS.
    0:24:27 As you’ve probably seen,
    0:24:29 there’s been actually a bunch of acquisitions
    0:24:31 in this space recently, but what’s left to do there?
    0:24:34 So is the new platform, the salesforce.com
    0:24:36 and others of the world or are there actually
    0:24:37 both kind of vertical applications
    0:24:39 and or are there other platforms
    0:24:41 that actually might exist over time in that market?
    0:24:43 – So there’s SaaS as the metaphorical
    0:24:45 in the cloud version of all the stuff
    0:24:49 that we had built over the previous, you know, 30, 40 years.
    0:24:54 So that’s like workday, salesforce,
    0:24:58 success factors, you know, the kind of big categories.
    0:25:00 The thing that we believe that’s changed
    0:25:02 as you go from on premise to the cloud
    0:25:05 is the technology is so much easier to adopt
    0:25:08 that we’re now seeing software applications
    0:25:10 for things that you just would never do
    0:25:13 as a software application because the cost of,
    0:25:15 as we used to say in the old days, screwing it in
    0:25:19 and paying the army of Accenture consultants
    0:25:21 to get it going just wasn’t worth it
    0:25:24 for say expense reporting, which, you know,
    0:25:28 Concur, of course, built a really powerful product in that.
    0:25:31 But like there was no packaged software
    0:25:34 for expense reporting in the same way that there is now.
    0:25:37 And I think there’s a gigantic number of categories
    0:25:39 in everything that you do in business
    0:25:41 that can be automated in that way.
    0:25:43 In addition to that, you can scale down
    0:25:45 to very, very small companies.
    0:25:47 Companies below thousands of employees
    0:25:49 never bought Oracle financials.
    0:25:51 It would have been insane to do so,
    0:25:53 but they’re absolutely buying, you know,
    0:25:55 NetSuite and things like that.
    0:25:59 And then beyond that, you now it becomes economical
    0:26:02 and very interesting to build vertical applications
    0:26:03 for industries.
    0:26:06 So to build an application that revolutionizes,
    0:26:09 say the real estate industry or something like that,
    0:26:13 or the construction industry is becoming extremely viable
    0:26:15 and not just as a niche business,
    0:26:18 but as a real venture capital based kind of activity.
    0:26:20 – One of the consequences that will be interesting
    0:26:22 to watch play out is that historically,
    0:26:24 enterprise software has been described
    0:26:27 as represented by companies like Oracle SAP IBM.
    0:26:29 Like that stuff was really only accessible
    0:26:31 to the largest companies,
    0:26:33 the top 500 or 1000 companies in a country.
    0:26:36 And then in particular, only in a handful of countries,
    0:26:39 those businesses, their revenue and their customer base
    0:26:40 have always been dominated by, you know,
    0:26:42 two or 3000 companies globally that are these,
    0:26:44 you know, these giant multinational companies
    0:26:45 that we’ve all heard of.
    0:26:48 So big companies had this sort of inherent advantage
    0:26:50 versus a lot of mid-sized small companies.
    0:26:51 And then companies in the US and Western Europe
    0:26:53 had this big advantage versus companies
    0:26:54 in other parts of the world
    0:26:56 where the companies, the large companies
    0:26:58 and the large companies in the US and Western Europe
    0:27:00 could just afford to make technology investments
    0:27:01 that small and mid-sized companies
    0:27:02 all over the world couldn’t make.
    0:27:05 The sort of changes in SaaS that Ben described,
    0:27:07 they lead you to an interesting conclusion
    0:27:08 which is it may actually be interesting
    0:27:12 for a smaller company or a company not in the US
    0:27:13 or Western Europe to be able to adopt
    0:27:16 the next generation of SaaS and cloud technology.
    0:27:18 It’s almost like the folks who’ve been able to skip
    0:27:19 landline telephones or just go straight to mobile phones.
    0:27:21 You can just leapfrog the old stuff
    0:27:22 ’cause you never had it
    0:27:24 and you can just start using the new stuff out of the box.
    0:27:26 And then the big established companies
    0:27:27 might have a harder time adapting
    0:27:29 ’cause they’ve made these giant investments
    0:27:30 in the old systems and it’s hard to just jump
    0:27:31 to the new thing.
    0:27:34 And so there may be a power shift happening
    0:27:36 from on the one hand large companies
    0:27:37 to small and medium companies
    0:27:40 that can now more aggressively adopt technology faster.
    0:27:42 And then from companies in the US and Western Europe
    0:27:43 to companies all over the world
    0:27:45 that can also do the exact same thing.
    0:27:48 And so at the very least a leveling of the playing field
    0:27:49 and possibly even a national shift in balance
    0:27:51 where small and mid-sized companies all over the world
    0:27:53 may all of a sudden get a lot more competitive.
    0:27:55 – So you’ve got kind of democratization at one point
    0:27:56 and then to your point,
    0:27:58 there’s one version of internationalization
    0:28:00 which is adoption across international communities.
    0:28:02 So how do you think about then
    0:28:03 the other aspect of internationalization
    0:28:04 which is company formation?
    0:28:07 Should we then expect to see more new company formation
    0:28:10 outside the US partly as a result of some of these trends
    0:28:14 and why won’t we see or will we see 50 Silicon Valley’s
    0:28:15 over the next 20, 30, 40 years
    0:28:17 and how do you all think about what the strategy
    0:28:19 should be vis-a-vis those opportunities?
    0:28:21 – That would be probably the most amazing thing
    0:28:23 for the world that could happen
    0:28:25 in the realm of business and economics.
    0:28:28 So we’re hoping for it
    0:28:31 and certainly building kind of help trying
    0:28:33 to build technologies that would facilitate it.
    0:28:37 And I think the world has never been kind of more ripe
    0:28:39 for that kind of thing.
    0:28:40 Having said that, look,
    0:28:42 there are real network effects,
    0:28:44 geographical network effects
    0:28:46 and Silicon Valley obviously has the biggest one
    0:28:50 in technology and you always have to keep in mind
    0:28:52 and this is something that gets lost
    0:28:55 is there are no local technology companies, right?
    0:28:58 There’s nobody who sells, you know,
    0:29:01 internet search to Wyoming.
    0:29:02 That’s not like a viable thing.
    0:29:07 So when you’re competing globally, it does matter.
    0:29:08 You know, do you have the best people?
    0:29:09 Do you have the best executives?
    0:29:10 Do you have the best engineers?
    0:29:12 Do you have access to money?
    0:29:15 Like all these things become real competitive things.
    0:29:17 So we still are believers in Silicon Valley
    0:29:20 and we’re very hopeful that the rest of the world grows
    0:29:23 and that we can participate in that as well,
    0:29:25 but that’s TBD.
    0:29:27 – This is an interesting macro kind of thing
    0:29:28 that’s happening in a lot of the, you know,
    0:29:30 one of the really kind of negative stories
    0:29:32 is that there’s basically the world is starved
    0:29:34 for innovation and growth.
    0:29:36 One of the data points you point to on that
    0:29:39 is there’s now $10 trillion of money
    0:29:41 in being held in government bonds,
    0:29:42 governments all over the world,
    0:29:44 trading at what’s called negative yield.
    0:29:46 This is literally like the equivalent of a savings account
    0:29:48 where instead of the bank paying you interest,
    0:29:51 you have to pay the bank interest to hold your money.
    0:29:53 And so there’s literally $10 trillion of capital parked
    0:29:56 around the world that is actually losing money
    0:29:58 as it sits there, which means people cannot find
    0:30:00 enough productive places to deploy capital.
    0:30:02 The conventional view, if you just pick up the newspaper
    0:30:03 and read the economic section,
    0:30:04 the horrible this is and how it means
    0:30:06 the world is start for growth.
    0:30:10 The optimistic side of it is there’s $10 trillion of money
    0:30:12 sitting on the sidelines waiting for something productive
    0:30:13 to be done with it.
    0:30:15 What could be productively done with it?
    0:30:17 New kinds of healthcare, new kinds of education,
    0:30:20 new kinds of consumer products, new kinds of media,
    0:30:21 new kinds of art, new kinds of science,
    0:30:24 new kinds of self-driving cars, new kinds of housing,
    0:30:27 all of these things that need to be done all over the world.
    0:30:29 And so the world has never been more ripe
    0:30:32 for a very large wave of innovation
    0:30:34 that would actually be quite easy to finance.
    0:30:36 A lot of the times you just can’t get things done
    0:30:37 ’cause you don’t have money.
    0:30:38 That’s just kind of the constant state of the world
    0:30:39 for a very long time.
    0:30:41 And now ironically, we live in a world
    0:30:42 where the opposite is true.
    0:30:44 There’s actually, quote unquote, too much money.
    0:30:46 And more money than ideas.
    0:30:46 More money than ideas.
    0:30:48 Which really can’t be true.
    0:30:49 It can’t be true, right?
    0:30:50 Unlock the ideas.
    0:30:52 Human creativity is boundless.
    0:30:54 And so if you can get more smart people
    0:30:55 around the world educated
    0:30:57 and with the skills required to do these things
    0:30:58 and if you can get them in environments,
    0:31:00 either create new environments to do that
    0:31:01 or figure out how to get more of the people
    0:31:03 from other places in environments
    0:31:04 where they can do new things,
    0:31:06 we could do all kinds of new things globally.
    0:31:08 And it’s something that we hope to contribute to
    0:31:10 but I think is a very big opportunity for the world.
    0:31:11 So do you think we’re getting to the point
    0:31:13 where it’s kind of geopolitical risk
    0:31:16 and rule of law issues that limit adoption
    0:31:17 or deployment of some of these new technologies
    0:31:19 in other countries outside the US?
    0:31:23 It sounds like it’s less so technological advancement.
    0:31:25 Well, I would say there’s bad news and good news.
    0:31:27 So the bad news is we frequently have delegations
    0:31:29 of folks coming into the Valley from all over the US
    0:31:31 and all over the world.
    0:31:32 And they basically come in
    0:31:33 and it’s economic delegations of different kinds
    0:31:35 or politicians or whatever.
    0:31:36 And they come in and they’re like, okay,
    0:31:38 what can we do to have our own Silicon Valley?
    0:31:39 And then you kind of sit down with them
    0:31:42 and you kind of go through ABCDEF, all these things.
    0:31:44 Well, you don’t want rule of law,
    0:31:46 you want ease of migration, you want ease of trade,
    0:31:49 you want deep investments in scientific research,
    0:31:51 you want no non-competes,
    0:31:52 you want fluid labor laws to let companies
    0:31:54 very easily both hire and fire.
    0:31:55 You want the ability for entrepreneurs
    0:31:57 to be able to start companies very quickly.
    0:31:59 You want bankruptcy laws that make it very easy
    0:32:01 to move on and start another company.
    0:32:04 And at some point, the visitors get this stricken look
    0:32:05 on their face and they’re like, well,
    0:32:07 at the end of it, they’re like, okay,
    0:32:08 but what if we want Silicon Valley
    0:32:10 but we can’t do any of those things.
    0:32:12 And so that’s the bad news.
    0:32:14 – Well, they can hire Donald Trump to run their country.
    0:32:15 – It’s sad that’s ironic that we have this guy running
    0:32:17 for president who would seriously move us backwards
    0:32:19 on a number of those topics.
    0:32:21 So even we struggle with these things, right?
    0:32:23 Like I would argue the formula is fairly well known.
    0:32:25 It’s just people do not want to apply it
    0:32:27 for reasons that have a lot to do with politics
    0:32:29 and have a lot to do with other issues.
    0:32:30 The good news is it can be done.
    0:32:32 And then the other good news is it is happening.
    0:32:35 And there are very, very, very exciting things happening
    0:32:36 throughout much of the world.
    0:32:38 They’re very active now startup scenes
    0:32:41 all through South America, Brazil, Argentina, Buenos Aires.
    0:32:42 Amazing things are happening in India.
    0:32:44 There’s all kinds of startup activity
    0:32:45 throughout the Middle East.
    0:32:47 There’s startup activity now throughout Africa.
    0:32:50 There’s, obviously China’s been a gigantic success story.
    0:32:52 Korea has all kinds of interesting things happening.
    0:32:55 So there are lots and lots of extremely positive
    0:32:57 early indications of what’s possible
    0:32:59 in many places all over the world.
    0:33:00 That said, there are very big political questions
    0:33:02 about whether or not those founders
    0:33:03 are gonna be able to operate an environment
    0:33:05 that’s really gonna let them succeed to the level
    0:33:06 that they should be capable of doing.
    0:33:08 The big reason that we raise the fund
    0:33:12 and are excited about the fund is it is a backing
    0:33:14 of our core belief system here,
    0:33:18 which is we believe in the creativity
    0:33:21 and genius and intelligence of human beings
    0:33:23 and the entrepreneurs that we see
    0:33:26 and come to Silicon Valley and around the world.
    0:33:29 And we believe that these people absolutely have
    0:33:32 the ability to change things and are changing things.
    0:33:36 And there’s plenty of room to improve the world.
    0:33:38 And there’s plenty of ideas to do so.
    0:33:42 And that’s really what we’re about with fund five.
    0:33:44 So let’s talk a little bit about kind of company building
    0:33:45 and founders in particular.
    0:33:49 So, undoubtedly you had a very distinct view
    0:33:50 of what types of founders you wanted to back
    0:33:53 when you started the firm now seven years ago.
    0:33:54 How has that evolved?
    0:33:56 If at all over time, what has changed either
    0:33:57 in terms of the types of founders you see
    0:33:59 or the types of qualities you see
    0:34:01 that actually make founders successful
    0:34:02 that’s caused you to either augment
    0:34:05 or rethink some of the initial foundations for the firm.
    0:34:08 You know, I think a lot of the things,
    0:34:10 we had this great advantage when we started the firm
    0:34:13 that we ourselves were founders.
    0:34:16 I think that we’ve probably gotten,
    0:34:18 I would say more risk tolerant
    0:34:20 in our view of founders over time,
    0:34:21 even though sometimes the risk–
    0:34:22 – What do you mean by that?
    0:34:24 What do you mean by getting risk more risk tolerant?
    0:34:25 – Well, we have this thing we say at the firm,
    0:34:27 which is we’re much more interested
    0:34:29 in the magnitude of the strength
    0:34:31 than the number of the weaknesses.
    0:34:33 We always believe that intellectually,
    0:34:36 I think that some of the number of weaknesses
    0:34:39 were fairly terrifying early on,
    0:34:43 just ’cause you do have a lot of founders
    0:34:46 with a very small amount of experience these days,
    0:34:47 which is also part of their strength
    0:34:50 in that it’s hard to rewrite the world
    0:34:52 if you’re too steeped in the world.
    0:34:56 And so I think over time, we’ve kind of doubled down on that.
    0:34:59 And really, the founders who have figured out
    0:35:02 something really important or who are true geniuses
    0:35:07 or have will to power that we can’t even contain in the room,
    0:35:10 when they bring those things to the table,
    0:35:11 whatever is wrong with them,
    0:35:14 we tend to overlook and work with them on that.
    0:35:16 And if they’re strong enough in those areas,
    0:35:18 the really interesting thing for us has been,
    0:35:21 those weaknesses do go away pretty quickly.
    0:35:23 And that’s probably the biggest learning is,
    0:35:25 I’d say we went in thinking that,
    0:35:28 but we’ve gotten even more extreme
    0:35:31 in our commitment to that kind of philosophy.
    0:35:33 So almost in financial terms,
    0:35:35 you’re buying volatility to a certain extent.
    0:35:38 – Well, I think buying volatility in the sense
    0:35:40 that we’re buying people have world-class strengths
    0:35:42 where we care about them,
    0:35:45 and regardless of whatever else.
    0:35:46 There’s volatility in that,
    0:35:49 but you can have a different kind of volatility.
    0:35:51 You can have people who have gigantic weaknesses
    0:35:54 that are spectacular without having the strengths.
    0:35:57 And we’re not trying to buy that kind of volatility.
    0:35:58 – How do you know, though,
    0:35:59 that they’re going to be the ones
    0:36:01 to actually build the companies at scale?
    0:36:03 Because there seems to be this inflection point
    0:36:05 where the very thing that makes you a founder
    0:36:07 that’s going to punch through this tough industry
    0:36:10 is also the thing that’s pretty much going to hold you back
    0:36:11 from really building your company
    0:36:13 in a really meaningful way
    0:36:15 if you think you can do everything your way.
    0:36:17 And there seems to be an inherent contradiction in that.
    0:36:19 – I think that that would be right
    0:36:21 if founders did not evolve.
    0:36:23 So I think-
    0:36:23 – And some don’t.
    0:36:24 – And some don’t.
    0:36:26 Like some don’t and they get stuck
    0:36:28 and they can’t get past that point.
    0:36:32 But it’s a real common characteristic in great founders
    0:36:34 that they want to know absolutely everything
    0:36:35 about the company and how it works
    0:36:38 and every knob and every button.
    0:36:43 And they really would like, have a strong desire
    0:36:45 to actually be able to do every job
    0:36:47 in the company themselves if it came down to it.
    0:36:51 But those kind of founders also have great ambition
    0:36:54 and it’s very logical and easy to understand
    0:36:58 that there’s never actually been a gigantic long,
    0:36:59 really important long lasting company
    0:37:02 that had like five employees that those just don’t exist.
    0:37:05 And so if you’re gonna have to have a bigger company
    0:37:10 than that, you have to think about the company,
    0:37:12 not only from the scale perspective,
    0:37:15 but from the perspective of the people working there.
    0:37:18 And how are you gonna get great people to work with you
    0:37:21 if you’re literally making a redecision in the company?
    0:37:22 And I think that, look,
    0:37:24 not every founder can let go of that.
    0:37:26 And sometimes it’s a psychological flaw
    0:37:29 rather than a desire for greatness.
    0:37:32 And if it’s a psychological flaw that they can’t overcome,
    0:37:36 then it’s just like any flaw that any of us have.
    0:37:37 We can’t stop eating ice cream or whatever.
    0:37:40 And there’s nothing we can do at that point,
    0:37:42 like we can give them the logical explanation,
    0:37:44 but they’ve got to fix themselves.
    0:37:46 One of the things that we’ve seen even in the short time
    0:37:49 that the firm has been in business is companies
    0:37:51 staying private longer, taking longer times to IPO.
    0:37:53 What are some of the implications of that
    0:37:54 on the company building process?
    0:37:57 How do you kind of balance that new reality?
    0:37:59 If it is a new reality around how companies stay private
    0:38:01 with how you think about building management teams
    0:38:03 and other issues around the company.
    0:38:05 – Yes, I think this gets back to probably
    0:38:09 one of the more neglected parts of company building,
    0:38:10 which is like, what is the company culture?
    0:38:11 What does it believe?
    0:38:13 What’s our way of doing things?
    0:38:14 When we come to work every day,
    0:38:16 what does quality mean?
    0:38:18 How do we prosecute an opportunity?
    0:38:23 And the kind of philosophy onboarding,
    0:38:25 training into that culture and so forth.
    0:38:27 And so you kind of have to develop a philosophy
    0:38:29 like what kind of employees do you want?
    0:38:31 How do you want them to behave when they get there?
    0:38:32 How do people contribute?
    0:38:34 – As we’re getting close to wrapping up here,
    0:38:36 what would be one piece of advice that you might give
    0:38:37 either from a management perspective,
    0:38:39 from a go-to-market perspective?
    0:38:40 What would be a takeaway for people
    0:38:42 listening to this podcast?
    0:38:44 – From a management perspective,
    0:38:46 I think the most common mistake that founders make
    0:38:50 is they make decisions based on management decisions
    0:38:52 and organizational design decisions
    0:38:56 based on very kind of proximate perspective.
    0:38:57 So what’s my perspective?
    0:39:00 What’s a person I’m talking to perspective?
    0:39:03 What’s my HR person’s perspective?
    0:39:05 Without like taking the time to go,
    0:39:07 okay, like how does everybody in the entire company
    0:39:08 see this decision?
    0:39:10 And how will they see it once it’s made?
    0:39:13 Is it motivating people in the way that I think it will?
    0:39:16 And let’s look past the person I’m talking to
    0:39:18 feeling good about what I’m saying
    0:39:20 and really make this for the long-term health
    0:39:22 of the organization.
    0:39:24 – Single biggest strategic piece of advice
    0:39:25 we just see across all of our companies
    0:39:27 is literally people just need to raise prices.
    0:39:29 People need to charge more for their products and services.
    0:39:31 The good news is you have all these new founders
    0:39:33 with many different backgrounds who have come in.
    0:39:35 Many of them have never run companies before
    0:39:36 or run sales forces before.
    0:39:38 And so they have these extremely sophisticated views
    0:39:40 on things like products and design and engineering.
    0:39:42 And then I think in some cases,
    0:39:45 relatively naive views on how to actually prosecute
    0:39:47 a campaign to be able to get the world to use your product.
    0:39:50 And so the temptation we see from many founders
    0:39:53 is to have a one-dimensional view of what I call
    0:39:54 a one-dimensional view of the relationship
    0:39:56 between price and volume.
    0:39:58 Which is if I price my product cheap,
    0:39:59 then I sell more of it.
    0:40:01 ‘Cause the assumption is just that people just make
    0:40:03 purchase decisions based on cost.
    0:40:05 And so you drive down prices, you drive up volume.
    0:40:07 And by the way, a lot of the history of the tech industry,
    0:40:08 like the chip industry is,
    0:40:10 drive down prices, drive up volume.
    0:40:14 But a lot of startups really suffer from having that view.
    0:40:16 Instead, we encourage companies to adopt
    0:40:17 what I call kind of the two-dimensional view,
    0:40:19 which is the advantage of raising prices.
    0:40:21 Actually, there’s a couple of advantages.
    0:40:22 So one big advantage, if you raise prices,
    0:40:25 you can afford a bigger sales and marketing effort.
    0:40:28 A lot of companies have prices that are actually too low
    0:40:30 to be able to mount the kind of sales and marketing campaign
    0:40:32 required to get people to ever actually buy the product.
    0:40:34 And I call this the too hungry to eat problem, right?
    0:40:38 I’m not selling enough, but I’m not selling enough
    0:40:39 ’cause I don’t have the sales and marketing coverage required
    0:40:41 to actually get the product out there.
    0:40:43 And I don’t have that ’cause I’m charging too little.
    0:40:44 And as a consequence, I’m not selling any,
    0:40:46 despite my low prices.
    0:40:47 The other really interesting thing
    0:40:49 is that for a very large number of products,
    0:40:50 it turns out if you charge higher prices,
    0:40:52 the customers take the product more seriously.
    0:40:53 They impute more value into it
    0:40:55 when they’re making their purchase decision.
    0:40:56 And then once they’ve purchased,
    0:40:57 they’ve made a bigger commitment to it.
    0:41:00 And in particular, anybody selling anything to businesses,
    0:41:02 businesses will take something that they had to pay
    0:41:03 a lot of money for a lot more seriously
    0:41:05 than something that they didn’t have to pay
    0:41:06 very much money for.
    0:41:08 So you can get a much higher level of engagement
    0:41:10 and stickiness and actual use of your product
    0:41:11 if you charge more.
    0:41:12 – Going through this,
    0:41:13 this definitely has felt like swimming upstream
    0:41:14 for the last several years.
    0:41:16 We see some glimmers that more folks
    0:41:17 are starting to figure this out.
    0:41:19 – Okay, well, that’s all we have time for.
    0:41:20 I think this is the first time
    0:41:22 I’ve actually had all you guys together on the podcast
    0:41:24 since we did our fifth anniversary podcast
    0:41:25 a couple of years ago.
    0:41:26 Kind of amazing how much has changed
    0:41:28 even in that short amount of time.
    0:41:29 So thank you.
    0:41:30 Thanks everyone.

    with Marc Andreessen (@pmarca), Ben Horowitz (@bhorowitz), Scott Kupor (@skupor), and Sonal Chokshi (@smc90)

    Continuing our 10-year anniversary series since the founding of Andreessen Horowitz (aka ”a16z”), we’re resurfacing some of our previous episodes featuring Andreessen Horowitz founders Marc Andreessen and Ben Horowitz.

    This episode was actually recorded in 2016 — on the 5-year anniversary of Marc’s Wall Street Journal op-ed on “Why software is eating the world” — and features Sonal Chokshi and Scott Kupor interviewing Ben and Marc about what’s changed since, and how software is programming the world… in everything from simulations to distributed systems to other key computing shifts.

    You can find other episodes in this series at a16z.com/10.