AI transcript
0:00:04 Welcome to the A16Z podcast.
0:00:08 This episode is part two of a series called
0:00:10 “What’s Next for Education Startups?”
0:00:12 It originally aired as a YouTube video,
0:00:19 and you can watch all of our YouTube videos at youtube.com/a16zvideos.
0:00:21 >> Hi, this is Frank Chen.
0:00:23 Welcome to the A16Z network.
0:00:26 I’m very excited today to share a conversation I had with
0:00:29 Connie Chan, one of our general partners.
0:00:33 Connie is one of the world’s experts on trends,
0:00:36 especially consumer trends in China and tech.
0:00:40 Today, we’re going to talk about the future of lifelong learning,
0:00:46 and she’s going to share a few examples of very awesome startups in China.
0:00:50 She’s super interested in what’s happening with Gen Z consumers.
0:00:56 She’s very interested in real estate and how people are finding homes,
0:01:01 preparing their homes to be listed on Airbnb, renting homes, so on and so forth.
0:01:06 She’s also very inspired by things that entrepreneurs are doing in China
0:01:09 that might have applicability here in the United States.
0:01:15 She helped us find our investments in line and Pinterest,
0:01:20 and I think you’ll really enjoy this conversation that I had with Connie.
0:01:23 I have to tell you a funny story before we get started,
0:01:26 so we did not synchronize our sweaters.
0:01:31 We’ve known each other so long that we just knew to come in the same color family.
0:01:34 So Connie was my first hire at Andreessen Horowitz.
0:01:37 The Adam Rifkin introduced us to Adam at one time,
0:01:40 and may still be the most connected person on LinkedIn,
0:01:43 and his whole heart and mission is to connect people,
0:01:45 and so when I told Adam,
0:01:48 I was looking for the best ideal partner ever.
0:01:49 He went and found Connie,
0:01:53 and I’m so thrilled that you’ve been here for so long,
0:01:57 and now are a general partner looking to make investments, so welcome.
0:01:58 Thank you.
0:02:04 So today, we’re going to continue our series in education
0:02:06 and talk a little bit about ongoing education,
0:02:10 and we’re so excited about the things that we can do as adults
0:02:12 to continue to learn new things,
0:02:13 and for those of you that know me,
0:02:16 like learning a new thing is my favorite thing in life,
0:02:18 so I’m so excited about this episode.
0:02:20 So Connie, why don’t you set the context,
0:02:23 and let’s talk a little bit about the things that are working,
0:02:25 especially in China,
0:02:29 and I thought maybe it’d be good to just anchor on how much money
0:02:32 and how many users people spend on ongoing adult education,
0:02:34 because this is very surprising.
0:02:37 Yeah, I think about education and learning
0:02:40 in a way that goes well beyond K through 12.
0:02:44 So I’m actually hyper-focused on education for adults, people.
0:02:46 Once they’ve graduated college,
0:02:51 how can they use online education for self-improvement, for example?
0:02:53 And if you look at the dollars abroad,
0:02:57 I do a lot of studying what’s working in China and working in Asia
0:03:00 to give me inspiration for ideas here in the States.
0:03:02 It’s a massive market in Asia.
0:03:03 It’s massive in China,
0:03:06 and I think it’s because China has developed
0:03:08 all these online education platforms
0:03:10 that are specifically made for mobile
0:03:13 that unlock all these other new features and benefits.
0:03:16 And in terms of how big it is,
0:03:18 iResearch says that right now,
0:03:23 online education in China is 150 million users
0:03:28 and expected to grow to nearly 300 million by year 2020.
0:03:31 It’s a $40 billion industry,
0:03:33 expected to grow to $70 billion.
0:03:36 Of course, this is a very broad categorization
0:03:37 of what counts as education,
0:03:40 but what’s interesting is the way
0:03:42 that these research reports break it up.
0:03:44 The largest group is not K through 12.
0:03:47 It’s not even college students.
0:03:49 The largest groups of students
0:03:52 who want to do self-improvement in online education,
0:03:54 they are 26 to 35.
0:03:56 – Yeah, that’s super interesting.
0:03:58 So you would expect sort of the Asian cultures
0:04:01 that the parents sending their students
0:04:03 to after school enrichment programs,
0:04:05 and so you think that’s where all the money is going,
0:04:07 but you’re saying, look, it’s after they graduate college.
0:04:08 – Right, right.
0:04:11 And I think that’s because if you take the word education
0:04:15 and you expand it just to self-improvement, self-learning,
0:04:17 then it greatly increases the demographic
0:04:18 that you can address.
0:04:21 And yes, a lot of people just say China education,
0:04:25 it’s huge because parents spend so much money on tutoring
0:04:29 and so forth because of the way the college system works.
0:04:32 But most of that money is actually going through
0:04:34 post-college graduates.
0:04:37 – It’s really interesting ’cause in China,
0:04:39 what’s already happening is what we sort of expect
0:04:42 to happen here, which is today we have this system
0:04:44 where sort of you go through K through 12
0:04:45 and then a subset of these people go to college
0:04:49 and then basically at age 22, you’re done.
0:04:50 There’s no more formal education
0:04:54 and now it’s basically the workplace’s job to train you.
0:04:55 They’ll send you to classes and so on.
0:04:57 And we know that’s gonna change.
0:05:00 We know that the world is so dynamic now
0:05:02 that you can’t learn everything that you need
0:05:05 to be a productive worker or a citizen by age 22
0:05:07 and you’re gonna have to learn ongoing.
0:05:10 This is sort of a big part of our investment thesis
0:05:11 behind Udacity.
0:05:14 – And there’s a bunch of courses that a college curriculum
0:05:16 would likely never include.
0:05:18 How to conduct yourself at a meeting,
0:05:23 how to speak publicly, how to sleep train your kid.
0:05:24 That counts as education.
0:05:26 Parenting courses, that counts as education.
0:05:29 You would never cover that stuff in college.
0:05:31 – And in addition to sort of the evergreen stuff
0:05:33 that you mentioned, everybody needs to be
0:05:34 a good public speaker.
0:05:36 Everybody needs to know how to do it.
0:05:39 There’s also sort of topical things that emerge
0:05:41 as marketplaces emerge.
0:05:43 So I’m thinking about the Taobao sellers, right?
0:05:45 So Taobao was like eBay here.
0:05:49 And what happened in Taobao was there were sellers
0:05:51 who were experimenting with the system
0:05:54 and they kind of figured out what was working for them
0:05:57 and they would share online and in videos
0:05:59 and Taobao saw this happening and they’re like,
0:06:01 oh, let’s actually get behind this and push, right?
0:06:03 Let’s set up Taobao University
0:06:05 where we can take our very best sellers
0:06:08 and actually have them make money from their content,
0:06:10 not just their markets.
0:06:11 – Yeah, completely.
0:06:13 – Yeah, so awesome.
0:06:16 So why do you think this is happening already in Asia?
0:06:17 Why are they ahead?
0:06:22 – I think Asia is in general much more mobile first
0:06:26 and mobile only of an environment than the States.
0:06:29 Meaning that if I asked you to go buy a pair of shoes,
0:06:32 you might naturally flock to your computer
0:06:34 to get the best user experience.
0:06:36 But in Asia, you’d pull up your phone
0:06:39 and you’d open the T-Mall or the Taobao app.
0:06:41 And the idea that your PC and phone
0:06:44 are completely interchangeable
0:06:46 and you can completely rely on your phone
0:06:50 to give you everything you need is more prevalent in Asia.
0:06:52 There’s also more mobile payments
0:06:54 and the idea of paying on your phone
0:06:56 is very natural and common to people,
0:06:59 not just interior one cities, but across the country.
0:07:03 But I think there’s three core breakthroughs and insights
0:07:04 that Asia has really figured out
0:07:06 that has propelled its education market
0:07:08 so much more forward.
0:07:12 The first one is that they rely on artificial intelligence
0:07:17 and machine learning in a much more interesting way.
0:07:21 So that allows them to unlock products and features
0:07:24 and just ideas that I don’t see here in the States.
0:07:27 So for example, there’s this company called Lingo Champ
0:07:29 and it teaches you English.
0:07:32 And typically when you look at a language learning app
0:07:35 here in the States, it’s very flashcard driven
0:07:39 or it’ll give you a sentence and you can read it.
0:07:42 But in Asia, they realize that people want to learn English
0:07:44 not just to be able to read and write,
0:07:46 but more importantly to have conversations
0:07:48 to be able to visit the world,
0:07:51 to interact with other people.
0:07:54 And so they use the mobile phone and the microphone
0:07:57 to allow you to speak directly into the app
0:08:01 and read out sentences and actually carry on conversations
0:08:04 with a computer that will speak back to you.
0:08:07 And that kind of scoring using machine learning
0:08:09 and artificial intelligence allows people
0:08:14 to learn pronunciation with a standalone mobile app.
0:08:16 And I think that’s a fantastic example
0:08:18 of like leaning into artificial intelligence
0:08:21 and machine learning to dramatically reduce the cost.
0:08:24 This company, Lingo Champ, their gross margins
0:08:28 are over 70% because they don’t have the teacher cost.
0:08:30 – Right, so nobody has to sort of say,
0:08:32 “Oh, that’s a terrible accent.”
0:08:34 My funny story on this is when I was learning
0:08:38 Chinese Mandarin, my Mandarin teacher asked me one day,
0:08:39 “Are you from Hong Kong?”
0:08:41 Which, for those of you that don’t realize it,
0:08:43 is probably the most grievous insult
0:08:45 that you could hurl at somebody trying to learn Mandarin
0:08:46 ’cause it’s so bad.
0:08:50 So you’re saying, look, they didn’t have to have a teacher
0:08:51 listening to you and then getting guns.
0:08:53 They’re using the machine learning to say,
0:08:55 “You don’t sound like a native and here’s where.”
0:08:58 – Right, and because their gross margins are so high,
0:09:00 their price point is so much lower
0:09:01 than having a real-life tutor
0:09:05 or even an online course instructor tutor.
0:09:07 Their price point is so affordable
0:09:11 that people all around the country can access it.
0:09:15 And that same concept of leaning into machine learning
0:09:19 is also true in music as another category.
0:09:24 There’s this company in China called BIP, Peilian.
0:09:28 And Peilian in Chinese translates to
0:09:31 they will practice piano
0:09:34 or practice an instrument alongside you.
0:09:37 And what it is is a mobile app, which is a piano teacher.
0:09:40 And this app, you put it on the stand
0:09:42 and you attach it to your piano.
0:09:47 And this teacher can help your kid age five through 16
0:09:48 learn an instrument.
0:09:49 They do piano, violin,
0:09:52 a bunch of classical Chinese instruments.
0:09:55 But again, it’s that price point that they’re able to unlock
0:09:58 because for a lot of these music instructors,
0:10:01 so much of that cost is in their travel time
0:10:03 or because you’re living in a city
0:10:06 where the cost of living is just so high.
0:10:11 But now in China, my teacher doesn’t have to live in Beijing.
0:10:13 They don’t have to live in Shanghai.
0:10:15 They can live anywhere in the country.
0:10:18 They don’t even have to live in China, right?
0:10:19 And then not only is that the case,
0:10:21 they use the machine learning aspect
0:10:24 to help the teachers with scoring the kids
0:10:26 and scoring the performance.
0:10:29 Because with music, just like with language,
0:10:31 there is an actual pitch.
0:10:34 There is an actual tempo and actual rhythm
0:10:36 that you’re supposed to play, right?
0:10:39 So they can take the composition score
0:10:41 and then hear your actual performance
0:10:42 and give you a grade,
0:10:44 which then allows one teacher
0:10:48 to teach two or three students at the same time,
0:10:50 which then unlocks even more cost savings,
0:10:54 allowing more parents to give their kids these music lessons
0:10:56 that they would typically not be able to afford.
0:11:00 – I’m flashing back to my piano learning days
0:11:03 and I’m hearing that too fast, too fast, right?
0:11:06 So now we can do that with machine learning.
0:11:06 – Right, right.
0:11:10 And imagine being able to do that during practice sessions,
0:11:13 right, and having that information feedback to the teacher.
0:11:15 There’s just a lot more we can do with machine learning,
0:11:18 especially when it comes to language and music
0:11:21 that is still, I think, very untapped here in the West.
0:11:26 – So let’s talk a little bit about sort of the efforts
0:11:27 that we’ve sort of seen here
0:11:31 and sort of how you think we get from here where we are.
0:11:33 So we have learning platforms like Masterclass,
0:11:34 we have learning platforms like Udemy,
0:11:36 we have learning companies like Udacity,
0:11:38 one of our portfolio companies.
0:11:41 What’s sort of missing from those
0:11:44 that sort of the next generation of ed tech startups
0:11:46 you’re looking for, you think we’ll have?
0:11:51 – Yeah, I think the answer is one word, it’s mobile.
0:11:56 And the reason is because mobile only is in a society
0:11:59 that I think is inevitably in our future.
0:12:00 And when you have mobile,
0:12:03 that allows for all kinds of different things.
0:12:07 It allows, again, for microphone input as an example.
0:12:09 Everyone has a camera, a front-facing
0:12:11 and a back-facing camera on their phones,
0:12:13 which allows for different kinds of input
0:12:15 and interaction with the platform.
0:12:18 Mobile allows you to have these bite-sized snacks
0:12:21 rather than opening your Instagram news feed.
0:12:23 Maybe you can take a three-minute class,
0:12:27 a five-minute class whenever you have downtime.
0:12:31 And also mobile allows people to not feel like
0:12:33 you have to be confined to a video format.
0:12:36 And I think this is really critical
0:12:39 because a lot of long-tail expertise
0:12:42 doesn’t always naturally suit video.
0:12:44 For example, you can be a math teacher
0:12:47 and, yes, you’re writing formulas on the board
0:12:49 or you can be a philosophy teacher, right?
0:12:51 And you can be sitting there giving a lecture,
0:12:53 just sitting there.
0:12:56 Or that same kind of content
0:12:58 can be also conveyed through a podcast,
0:13:00 through an audio format.
0:13:02 And once you’re focused on mobile,
0:13:05 you’re not thinking like it has to be video,
0:13:07 it has to be full-screen immersive.
0:13:10 It now can also be a podcast that you listen to
0:13:13 when you’re driving to work, when you’re walking to work.
0:13:18 And again, I think that that expansion of formats
0:13:21 is really obvious once you make something
0:13:23 that is mobile-centric.
0:13:26 – So we haven’t seen the class of mobile-first edtech
0:13:27 that you were expecting to see,
0:13:29 which is pretty surprising, right?
0:13:32 It is sort of an obvious insight
0:13:34 once you say it out loud like you did.
0:13:40 – And I think the reason is because so much of edtech
0:13:43 has been either you pay this one-time
0:13:44 very expensive tuition,
0:13:48 or honestly it’s ad-based, right?
0:13:52 Like YouTube is the biggest university in the world.
0:13:55 And most of the creators are monetizing
0:14:00 through advertisements, but because it’s ad-based,
0:14:02 a lot of the content on YouTube
0:14:04 can’t go to the depth of absurdities
0:14:06 that you need to really make a big impact
0:14:08 on your life or your career.
0:14:11 Because the creators, they have these incentives
0:14:14 to have to create content that gets lots of clicks.
0:14:17 And the reality is a lot of self-improvement
0:14:21 lifelong learning content is not all clickbait content.
0:14:25 And to go into that depth of what you need to know,
0:14:29 an ad format is not the best way to compensate
0:14:30 these creators.
0:14:31 So for example, if you’re buying a house
0:14:34 for the first time, you need to understand
0:14:36 how to think through that transaction.
0:14:38 But it doesn’t make sense for someone
0:14:40 to create these ad-based videos
0:14:42 because one, they’re not gonna get all the clicks
0:14:45 they need to justify their time and expertise.
0:14:48 But I mean, imagine a platform where someone
0:14:50 could package that in 20, 30 courses.
0:14:53 It could be a mixture of audio, a PDF,
0:14:58 video, a live stream Q&A, a paid one-on-one consultation
0:15:00 and put that all in one format
0:15:03 where that creator now can make much more money
0:15:06 and have the right incentives to create deeper,
0:15:07 better content.
0:15:09 – Yeah, so that makes perfect sense, right?
0:15:12 Which is it takes a lot of work to create this content.
0:15:14 And if you’re monetizing with advertising,
0:15:17 that means only the top 1% are gonna even break even
0:15:20 or barely break even on all of that effort, right?
0:15:22 ‘Cause you need to attract tens of millions of people.
0:15:26 – And ads reward production value, right?
0:15:28 So you need the great videographer there.
0:15:31 You need to spend an hour on your YouTube thumbnail.
0:15:33 And that’s nuts, right?
0:15:35 Because honestly, a lot of these great experts,
0:15:37 a lot of these professors, these doctors,
0:15:42 these nutritionists, they are not media experts.
0:15:44 And the fact that they have to go hire videographers
0:15:47 buy very expensive equipment, cameras, lighting,
0:15:50 what have you, learn how to edit videos themselves
0:15:54 for the first time, that’s not long-term,
0:15:55 I think, going to work.
0:15:57 Because these creators are being underpaid
0:15:58 for their knowledge.
0:16:03 So, as I think about my own sort of ongoing education
0:16:06 habits, YouTube has definitely become one of them.
0:16:08 Which is to say, I’m watching TED Talks,
0:16:09 I did something over the holidays,
0:16:13 which I’m very proud of, which is I replaced a doorknob.
0:16:15 And I’m proud of this because I’m the least handy person
0:16:17 I know, and so I watched a YouTube video
0:16:20 and went to Home Depot, and in Law’s house,
0:16:21 I replaced the little doorknob mechanism.
0:16:24 I was like, yes, I did it.
0:16:27 And so you were saying, look, I know,
0:16:28 I shouldn’t be that proud of myself.
0:16:30 But I was like, giddily proud of myself,
0:16:31 because I’m a software person,
0:16:33 and that was definitely hardware.
0:16:37 So anyway, thank you for indulging my burst
0:16:39 of enthusiasm for myself there.
0:16:41 So you’re saying, look, that type of content,
0:16:43 that’s fine for YouTube, because that’s super easy, right?
0:16:45 It’s a fine video. – And it’s visual.
0:16:48 It’s visual, you need to see which part to change out,
0:16:49 which nail to take out.
0:16:51 – So ads, for that makes sense,
0:16:53 but it doesn’t make sense for this sort of
0:16:56 highly produced package where I’m teaching you something
0:16:57 that’s a more serious life skill.
0:17:01 – Right, I mean, TED Talks are fantastic intro courses.
0:17:03 It’s a first great lecture,
0:17:05 but there should be 10 lectures
0:17:07 beyond that for every topic, right?
0:17:11 And a lot of things that are skill-based, in particular,
0:17:15 I think deserve having 10 courses,
0:17:17 20 courses, 30 courses, so on.
0:17:18 And there’s a lot of things
0:17:20 that I would be willing to pay for.
0:17:22 I would love to pay to figure out
0:17:23 how can I improve my voice.
0:17:25 I would love to pay to see
0:17:27 how can I improve parenting and so forth.
0:17:30 And there aren’t great platforms right now
0:17:34 that make it as easy as creating like a Shopify website
0:17:37 for these creators to monetize their knowledge.
0:17:39 And these creators, typically,
0:17:41 one, they’re not media experts,
0:17:43 two, they’re not technologists,
0:17:46 so they don’t have time to build their own blogs
0:17:48 or their own websites and integrate PayPal
0:17:50 or credit card payments into them.
0:17:54 And the biggest problem is they’re truly underpaid right now
0:17:57 for the knowledge that they’re freely sharing on YouTube.
0:17:58 – Yeah.
0:18:00 If you think about sort of an example
0:18:02 that is in this ecosystem,
0:18:03 you think about masterclass, right?
0:18:06 Where the entrepreneur’s doing a great job
0:18:09 of sort of hoovering up all of the top experts
0:18:11 in their fields.
0:18:13 And I think part of the reason he went top down
0:18:15 is sort of the same reason that Elon Musk
0:18:19 went to the Roadster first and then the X
0:18:21 and then the, or the S and then the X and then the three,
0:18:23 right, sort of he’s working his way down.
0:18:26 And I think part of that is because
0:18:29 I wonder if there’s enough cultural support
0:18:34 in the West for paying for education of this kind, right?
0:18:35 So it sounds like in China,
0:18:36 you already have that cultural support.
0:18:39 So like what is education amongst household expenses?
0:18:41 Is it like number three or number four
0:18:43 after housing and medical, right?
0:18:48 So you have this inbred sort of support, cultural support.
0:18:50 Like of course I’m paying for education, right?
0:18:54 And so once mobile sort of content sources sprung up,
0:18:56 the money just went, right?
0:18:58 And so what do you think is gonna happen here?
0:18:59 Do we need more cultural support?
0:19:01 How does that interaction happen?
0:19:05 – I think the way that we Silicon Valley
0:19:08 and platforms can help encourage this shift
0:19:10 for more lifelong learning and self-improvement
0:19:14 is really breaking away from just the ad-based model
0:19:16 and finding the right incentives for creators
0:19:18 to be able to monetize.
0:19:20 Because I think a lot of creators,
0:19:23 when they have an ability to make a significant amount
0:19:26 of income from sharing their expertise,
0:19:28 they will create better content.
0:19:30 And as there’s better content out there,
0:19:33 users will say, hey, this is a fantastic way
0:19:38 to put a small investment into myself, right?
0:19:40 And right now the platforms, I think,
0:19:44 are not doing enough to help these creators monetize.
0:19:46 And for a platform that doesn’t just mean
0:19:48 changing their business model,
0:19:51 it also means monetizing their own brand
0:19:55 and becoming a mainstream app, a mainstream website.
0:19:58 And that’s really important because for a lot
0:20:02 of these platforms, they shouldn’t have just one teacher
0:20:03 teaching you how to sing.
0:20:05 There should be 20, 30 teachers.
0:20:07 And then there should be rankings based off
0:20:09 of student reviews or based off people
0:20:13 who actually completed the course, right?
0:20:14 And repeat students and so forth.
0:20:18 And all those things should help bubble up the best teacher.
0:20:21 And these platforms need to do a lot to invest
0:20:23 in building out their own brands
0:20:24 to become mainstream in order to do that.
0:20:28 And I love the master class content.
0:20:32 I think once they expand, they’re gonna have to include
0:20:33 more teachers for the same categories.
0:20:34 – They sort of go down in market.
0:20:36 It doesn’t have to be Steve Martin teaching you
0:20:37 how to do comedy.
0:20:39 It’ll be your local comedy genius.
0:20:41 – Or it could be all of them together, right?
0:20:44 And they could be priced at different price points.
0:20:47 And then when you go the level beyond Steve Martin,
0:20:50 you can have them ranked differently, right?
0:20:52 And I’d love to be able to figure out
0:20:55 what are the rankings of the classes that people finished?
0:20:56 What are the rankings where people gave
0:20:58 the highest reviews, right?
0:21:00 What are the rankings based off price?
0:21:02 What have you, right?
0:21:08 And all of that kind of data is totally presentable right now.
0:21:12 It’s just not being surfaced by the platforms.
0:21:15 – Another sort of age old challenge in sort of building
0:21:18 these pervasive education marketplaces in the past
0:21:20 has been you sort of have very broad categories
0:21:21 of education.
0:21:23 There’s sort of, let’s call it hobby entertainment, right?
0:21:24 I’m learning the piano.
0:21:26 I want to sing better, right?
0:21:28 And then there’s sort of business self-improvement.
0:21:31 Like I want to learn how to use Excel better
0:21:33 or I want to be a better offer up seller
0:21:34 or something like that.
0:21:37 So do you think that there’s gonna be one platform
0:21:39 that sort of wins both?
0:21:41 Do you think there will be more specialty things
0:21:42 that sort of cater to each of these
0:21:44 ’cause it feels like they have different dynamics?
0:21:46 – I think it’s possible.
0:21:50 But it’s unclear how the future will shake out.
0:21:51 I mean, for example, I think there’s a lot
0:21:54 of great workout apps today already.
0:21:56 That put a bunch of fitness instructors
0:21:57 or nutritionists up against each other
0:22:00 and you can choose which instructor you want.
0:22:02 And they have that category down pretty well.
0:22:05 But I also think it’s very possible
0:22:07 if there was a platform that created the right tools.
0:22:11 I know that’s like Shopify in a box where I can say,
0:22:14 here are my podcasts, here are my blog posts.
0:22:18 These are the times where I’m gonna do a live stream Q&A.
0:22:22 This is the PDF of the book I’m willing to sell, right?
0:22:24 If it gave creators these options
0:22:27 to just turn on these modules
0:22:31 and create their own knowledge store,
0:22:32 I think it’s possible also
0:22:36 to have one major platform as well.
0:22:39 It serves both sort of the hobbyist entertainment market
0:22:42 as well as the serious self-improvement market.
0:22:44 – And it’s possible that it’s not a new startup.
0:22:47 It could eventually be something that YouTube goes into
0:22:48 or something that Twitter goes into.
0:22:50 Twitter has a ton of influencers too
0:22:52 and lots of long-tail experts.
0:22:56 But I think the opportunity is still there
0:22:59 and still so early enough that a new startup could take it.
0:23:02 – Great.
0:23:06 If you were to give, if you had one or two pieces of advice
0:23:08 that you have for entrepreneurs in this space,
0:23:09 what would it be?
0:23:15 – This is probably a contrarian view
0:23:18 even in Silicon Valley, but I would build for mobile first.
0:23:21 And I would build your app before you build your website
0:23:24 because it will drastically unlock different ways of thinking.
0:23:28 You’ll be able to use your GPS, your microphone,
0:23:30 you’ll be able to use the camera.
0:23:33 And if those new additions of features
0:23:34 don’t help you brainstorm new things,
0:23:37 then that’s a problem actually.
0:23:40 You’ll be able to use in-app payments, right?
0:23:42 You might be able to use Apple Pay and so forth.
0:23:45 So I think one big thing I would say is
0:23:47 if you’re building for the future,
0:23:50 consider building this platform first on mobile
0:23:52 even before you go to the PC.
0:23:55 And now I know that’s a very contrarian view
0:23:58 ’cause a lot of investors will also say
0:24:00 go to the PC first, get your brand
0:24:02 and then go to the app.
0:24:05 But I think when you start at least brainstorming
0:24:07 at the very least on a mobile platform first,
0:24:09 it unlocks this idea,
0:24:11 how can I use a microphone differently?
0:24:15 And then now that I have microphone and audio input,
0:24:18 how can I use machine learning differently, right?
0:24:21 And that allows you to unlock ideas
0:24:23 like the lingo champ for English learning
0:24:25 or like Paylian for piano teaching
0:24:28 that honestly someone building for a PC
0:24:30 would never get to that insight.
0:24:31 Right, right.
0:24:33 And then presumably your next piece of advice
0:24:36 would be experiment on the business model, right?
0:24:38 So we’ve got mobile, we’ve got machine learning
0:24:40 and now it’s like let’s do something other than ads.
0:24:43 Yeah, for sure, for sure.
0:24:48 I am not a fan of strictly ad-based models
0:24:52 mostly because the ones that do succeed,
0:24:53 say like a Facebook or Google,
0:24:55 I mean the reason their ads succeed
0:24:57 is not because of the massive page views
0:25:00 it’s also because of all the information
0:25:01 they have on that user.
0:25:04 So the ads are highly targeted, right?
0:25:06 And if you’re a platform where you don’t have
0:25:10 such detailed information on your end users,
0:25:11 your ads are not as valuable
0:25:14 and they’re not gonna convert as well.
0:25:17 So focusing on just building up page views
0:25:18 and hoping they’ll monetize with ads
0:25:21 to me is a scary strategy in general
0:25:24 for any consumer app.
0:25:27 Yeah, but I think business model experimentation
0:25:29 in the education space is huge
0:25:31 because I mean a lot of these categories
0:25:33 like your skills for doorknob, right?
0:25:37 Maybe it could sell you a similar doorknob.
0:25:38 They should have sold me the doorknob.
0:25:40 They should have sold you other doorknob.
0:25:42 They should have sold you other home projects
0:25:43 that hey, if you take this course
0:25:46 buy the components for it at a discount
0:25:49 and that can be a partnership with your local Home Depot
0:25:52 ’cause geographically they know the local Home Depot
0:25:54 is only two, three miles away from where you are.
0:25:55 Right.
0:25:57 And those ideas are very possible
0:25:59 and not being implemented today.
0:26:02 Kind of thinking if this person learned this course
0:26:06 what else can I sell them beyond just another course?
0:26:09 What physical things can I sell them?
0:26:11 What other services can I sell?
0:26:12 Yeah.
0:26:15 It seems inevitable that as we continue into a world
0:26:18 that rapidly changes, therefore needs new skills
0:26:22 all of the time that the spending pattern here
0:26:24 on education will flatten, right?
0:26:25 Which is the way I think about education spending
0:26:28 over a lifetime today is kind of like
0:26:30 there’s an elephant inside a python, right?
0:26:31 Which is you spend a lot of money
0:26:34 and then you get to college, right?
0:26:36 Where you have the 529 plan, right?
0:26:38 To help subsidize, right?
0:26:40 Tax deferred dollars to go to university
0:26:42 and then basically it drops to zero, right?
0:26:45 It’s sort of like a very small proportion
0:26:47 of the population spends money on ongoing training
0:26:49 and if you spend it, it’s mostly like,
0:26:52 oh, work had me do it and then I expensed it, right?
0:26:54 But it’s nowhere approaching college tuition.
0:26:56 So it’s sort of this big sort of college expense
0:27:00 in the middle, it feels like as we move into a new world
0:27:01 like we want to flatten that out, right?
0:27:05 We want to give access to piano teaching for kids,
0:27:06 smooth it out earlier in life
0:27:08 and then we sort of smooth it out later in life too.
0:27:12 And that’s gonna require this business model experimentation.
0:27:14 Business model experimentation
0:27:17 and just making that information more accessible.
0:27:21 Like if I told you you could spend $15
0:27:23 and get 10 courses on how to improve your voice,
0:27:24 would you consider it?
0:27:28 I am looking for voice instructors right now, right?
0:27:29 – You would do it, right, right, right.
0:27:31 – I’d pay far more than that.
0:27:32 – Right.
0:27:35 – But I feel like so many of these ideas
0:27:38 or these instructors, people oftentimes just forget
0:27:42 that they exist because it’s not so in their face.
0:27:45 And it’s not also done in bite-sized stacks
0:27:48 on their own schedule, on their own timeframe, right?
0:27:50 And when you’re on a mobile platform,
0:27:52 when you’re doing these bite-sized lessons,
0:27:55 you can do it every morning.
0:27:56 – Yeah.
0:27:58 Well, I personally can’t wait for a lot of this stuff.
0:28:00 As I mentioned, I love learning new things
0:28:03 and I can’t wait to have very compelling products
0:28:05 that are teaching me new things
0:28:08 a little more sophisticated than how to replace a doorknob.
0:28:10 Maybe a little less sophisticated than how to do it.
0:28:12 – A platform should have also sold you services
0:28:14 of a handyman nearby in case you failed.
0:28:16 – That’s true, right?
0:28:17 – Luckily.
0:28:19 – There’s just so many ways you can monetize
0:28:21 a simple video like replacing a doorknob
0:28:22 that’s not being done today.
0:28:24 – Yeah, yeah, totally true.
0:28:27 – Like all these how-to home fixes,
0:28:30 a good chunk of people who attempt them can’t do it, right?
0:28:32 And they’re willing to pay for the local
0:28:34 handyman to do it. – Surrounded by an explosion
0:28:35 of tools, right?
0:28:36 Oh, I give up.
0:28:37 – Right, or I may be missing this part,
0:28:39 maybe I’m missing this wrench or hey,
0:28:41 the power tool, right?
0:28:42 You could have done this in half the time
0:28:44 if you had this power tool.
0:28:47 These ideas aren’t being thought of right now
0:28:51 because it’s a business model innovation, right?
0:28:54 Think about not just selling them the next course
0:28:56 and stuffing more ads into your course
0:28:58 and then therefore making your video much longer
0:29:00 than it needs to be, which is the game
0:29:02 that a lot of these influencers have to play.
0:29:05 They’re being forced to play that game right now.
0:29:07 Give them better ways to monetize what they’re selling.
0:29:10 – Yeah, and that business model would be good for,
0:29:12 ’cause another age old problem with these education markets
0:29:14 places that try to get broad, right?
0:29:16 I want to have all of this content
0:29:19 is that the repeat usage is never as good
0:29:20 as the entrepreneur hopes, right?
0:29:24 So you kind of hope that I sell you the piano playing class
0:29:26 and then you’ll come to me for filmmaking
0:29:27 or whatever it is.
0:29:29 And it turns out in a lot of these
0:29:33 that you’re almost capturing that customer again
0:29:36 for the first time, even though they bought a class from you,
0:29:37 right? – Yeah.
0:29:39 And to this point is actually,
0:29:42 I wouldn’t say I’m never a fan of subscription models,
0:29:45 but for this category,
0:29:48 I don’t think subscription is necessarily the best model.
0:29:51 Because for me to sign up for a subscription,
0:29:54 I have to think I’m gonna take more than one class, right?
0:29:57 I mean, why not instead let me pay per course?
0:30:00 And for other courses, if you want to push discovery,
0:30:04 allow me to sample the first 10 minutes of a class for free,
0:30:07 right, or do some other kind of incentive
0:30:09 to get me to see the value.
0:30:11 And then maybe after two, three courses,
0:30:13 then sell me something like a subscription.
0:30:14 Or I’m like, yes, for sure,
0:30:17 I’m gonna use this multiple times over.
0:30:20 But the idea of jumping from day one
0:30:21 to push you a subscription, I think,
0:30:24 is a hard business model for this category.
0:30:25 – Yeah, it’s hard.
0:30:26 You have to capture the people
0:30:28 who would pay upfront for health clubs, right?
0:30:30 Which is the sort of, it’s the aspirational me
0:30:33 that will go to the gym all the time, right?
0:30:34 – Right.
0:30:35 – Well, thanks for joining us.
0:30:39 We’re so excited for the future of EdTech
0:30:41 that is mobile first and AI enabled
0:30:43 and isn’t just advertising,
0:30:44 ’cause I wanna learn new stuff,
0:30:45 I wanna learn it all the time.
0:30:47 The next thing I think in our house
0:30:48 will be clearing clutter.
0:30:51 And so it’s funny, Marie Kondo
0:30:52 has that series on Netflix now.
0:30:56 And so maybe I should watch it
0:30:58 and maybe there will be a tailor-made startup
0:31:00 for that type of stuff.
0:31:02 They can offer me help when I get stuck
0:31:04 clearing my own crap.
0:31:06 So, all right, thanks, YouTube.
0:31:08 We’ll see you next episode.
0:31:09 If you liked what you saw,
0:31:13 go ahead and comment and subscribe on the bottom.
0:31:14 And we’ll see you next episode.
0:31:15 – Bye.
When people talk about trends in education technology, they often focus on how to disrupt higher education in the U.S., whether it’s about breaking free of the ”signaling” factor of elite educations or how to shift education out of its ”cottage industry” mindset to achieve greater scale. However, in China, the transformation of education is already well underway, with a fast-growing ecosystem built around lifelong learning. In fact, one of the largest demographic groups paying for education in China is actually not college students — it’s college graduates, aged 26 through 35.In this episode — which originally aired as a video on our YouTube channel — a16z general partner Connie Chan talks with operating partner Frank Chen about the lifelong learning ecosystem in China; what it means for startups there; and lessons for entrepreneurs everywhere… or will these techniques even work outside of China?