AI transcript
0:00:01 – Welcome to our home.
0:00:04 – It’s maybe a bit long to spend with people we barely know.
0:00:08 – On September 13th, a guarantee you won’t wanna leave.
0:00:10 – Speak No Evil is filled with teeth clenching,
0:00:13 seek clawing suspense.
0:00:14 – Something’s not right with him.
0:00:16 – I’ve always wanted a family like yours.
0:00:19 – James Mackabur will scare you speechless.
0:00:20 – No!
0:00:21 – We’re gonna kill us.
0:00:23 – We’re just sad to see you go.
0:00:28 – Speak No Evil.
0:00:30 – Only in theater, September 13th.
0:00:33 – The collab that you always wanted is finally here.
0:00:35 Tim’s and Nutella.
0:00:37 It’s time to enjoy Nutella in a new way
0:00:40 with your favorite Tim’s baked goods and beverages.
0:00:42 Try them all today at participating restaurants
0:00:44 in Canada for a limited time.
0:00:47 ♪ It’s time for Tim’s ♪
0:00:51 – I’m Scott Galloway, and this is No Mercy, No Malice.
0:00:54 I’ve known Greg Scho of the CEO of Section for years.
0:00:59 Section’s focus is upskilling the enterprise for an age of AI.
0:01:02 AI Thought Partner, as read by George Hahn.
0:01:12 – This is the summer of AI discontent.
0:01:16 In the last few weeks, VCs, pundits, and the media
0:01:21 have gone from over-promising on AI to raising the alarm.
0:01:23 Too much money has been poured in
0:01:27 and enterprise adoption is faltering.
0:01:30 It’s a bubble that was overhyped all along.
0:01:33 If the computer is what Steve Jobs called
0:01:36 “the bicycle for our minds,”
0:01:40 AI was supposed to be our strongest peddling partner.
0:01:44 It was going to fix education, accelerate drug discovery,
0:01:47 and find climate solutions.
0:01:50 Instead, we got sex chatbots and suggestions
0:01:53 to put glue on pizza.
0:01:56 Investors should be concerned.
0:02:00 Sequoia says AI will need to bring in $600 billion
0:02:03 in revenue to outpace the cost of the tech.
0:02:06 As of their most recent earnings announcements,
0:02:10 Apple, Google, Meta, and Microsoft
0:02:13 are estimated to generate a combined $40 billion
0:02:15 in revenue from AI.
0:02:18 That leaves a big gap.
0:02:21 At the same time, the leading AI models
0:02:24 still don’t work reliably, and they’re
0:02:27 prone to ketamine-like hallucinations.
0:02:30 Silicon Valley speak for, they make shit up.
0:02:35 Sam Altman admits chatGPT-4 is, quote, “mildly embarrassing
0:02:38 at best,” unquote.
0:02:42 But he’s also pumping up expectations for GPT-5.
0:02:45 Unless you’re an investor or an AI entrepreneur,
0:02:47 though, none of this really matters.
0:02:49 Let’s refocus.
0:02:54 For the first time, we can talk to computers in our language
0:02:58 and get answers that usually make sense.
0:03:01 We have a personal assistant and advisor in our pocket,
0:03:04 and it costs $20 a month.
0:03:11 This is Star Trek 58 years ago, and it’s just getting started.
0:03:15 If you’re using AI as a bubble as an excuse
0:03:17 to ignore these capabilities, you’re
0:03:18 making a big mistake.
0:03:19 Don’t laugh.
0:03:21 I know Silicon Valley tech bros need
0:03:26 to win after their NFT metaverse consensual hallucination.
0:03:29 And as you’re likely not reading this on a MetaQuest 3
0:03:34 purchase with Dogecoin, your skepticism is warranted.
0:03:41 For all the hype of AI, few are getting tangible ROI from it.
0:03:45 Open AI has an estimated 100 million monthly active users
0:03:47 worldwide.
0:03:50 That sounds like a lot, but it’s only about 10%
0:03:53 of the global knowledge workforce.
0:03:56 More people may have tried chat GPT,
0:04:00 but few are power users, and the number of active users
0:04:02 is flatlining.
0:04:05 Most people bounce off, asking a few questions,
0:04:09 getting some nonsense answers, and return to Google.
0:04:12 They mistake GPT for better Google.
0:04:15 Better Google is Google.
0:04:18 Using AI as a search engine is like using a screwdriver
0:04:19 to bang down a nail.
0:04:22 It could work, but not well.
0:04:25 That’s what Bing is for.
0:04:28 The reason people make this mistake?
0:04:34 Few have discovered AI’s premier use case as a thought
0:04:36 partner.
0:04:39 I’ve personally taught more than 2,000 early adopters
0:04:44 about AI, and section has taught over 15,000.
0:04:47 Most of them use AI as an assistant,
0:04:49 summarizing documents or contracts,
0:04:52 writing first drafts, transcribing or translating
0:04:54 documents, et cetera.
0:04:58 But very few are using AI to think.
0:05:01 When I talk to those who do, they
0:05:04 share that use case almost like a secret.
0:05:07 They’re amazed AI can act as a trusted advisor
0:05:10 and reliably gut check decisions,
0:05:14 preempt the boss’s feedback or outline options.
0:05:18 Last year, Boston Consulting Group, Harvard Business School,
0:05:21 and Wharton released a study that compared two groups
0:05:27 of BCG consultants, those with access to AI and those without.
0:05:32 The consultants with AI completed 12% more tasks
0:05:36 and did so 25% faster.
0:05:39 They also produced results their bosses thought
0:05:42 were 40% better.
0:05:44 Consultants are thought partners,
0:05:48 and AI is super soldier serum.
0:05:54 Smart people are quick to dismiss AI as a cognitive teammate.
0:05:56 They think it can automate call center operators,
0:06:00 but not them, because they’re further up the knowledge work
0:06:01 food chain.
0:06:07 But if AI can make a BCG consultant 40% stronger,
0:06:09 why not most of the knowledge workforce?
0:06:11 Why not a CEO?
0:06:15 Why not you?
0:06:18 Last fall, I started asking AI to act like a board member
0:06:21 and critique my presentations before I sent them
0:06:24 to the section directors.
0:06:27 Even for a long time CEO, presenting to the board
0:06:29 is a test you always want to ace.
0:06:32 We’re blessed with a world class board of investors
0:06:37 and operators, including former CEOs of Time Warner and Akamai,
0:06:39 also Scott.
0:06:41 I try to anticipate their questions
0:06:44 to prepare me for the meeting and inform my decisions
0:06:46 around operations.
0:06:51 I prompt the AI, quote, “I’m the CEO of Section.
0:06:55 This is the board meeting pre-read deck.
0:06:58 Pretend to be a hard charging venture capitalist board
0:07:01 member expecting strong growth.
0:07:03 Give me three insights and three recommendations
0:07:08 about our progress and plan,” unquote.
0:07:14 Claude and ChatGPT Force performance was breathtaking.
0:07:18 AI returned 90% of the same comments or insights
0:07:20 our human board made.
0:07:22 We compared notes.
0:07:26 They were able to suggest the same priorities the board did
0:07:30 with the associated trade-offs, including driving enterprise
0:07:33 value, balancing growth and cash runway,
0:07:36 and taking on more technology risk.
0:07:41 Since then, I’ve used AI to prepare for every board meeting.
0:07:45 Every time, AI has close to a 90% match
0:07:47 with the board’s feedback.
0:07:51 At a minimum, it helps me know most of what Scott is going
0:07:55 to say before he says it, a free gift with purchase.
0:07:58 The AI is nicer, doesn’t check its phone,
0:08:01 and usually approves management comp increases.
0:08:04 Let’s call it a draw.
0:08:06 Think of what this could mean for any
0:08:09 of your high brainpower work.
0:08:11 Less stress, knowing you didn’t overlook
0:08:14 obvious angles or issues.
0:08:17 A quick gut check to anticipate questions
0:08:21 and develop decent answers, which you will improve.
0:08:24 And a thought partner to point out your blind spots,
0:08:27 risks you forgot to consider, or unintended consequences
0:08:29 you didn’t think of.
0:08:33 Whether interviewing for a job, admissions to a business
0:08:35 school, or trying to obtain asylum,
0:08:40 I can’t imagine not having the AI role play to better prepare.
0:08:44 Other scenarios where AI has helped as my thought partner?
0:08:46 Discussing the pros and cons of going
0:08:48 into a real estate project with several friends
0:08:50 as co-investors.
0:08:52 Getting a summary of all my surgical options
0:08:56 after uploading my MRI to fix my busted ankle
0:08:58 so I can hold my own with my overconfident time
0:09:00 starved Stanford docs.
0:09:03 Doing industry and company research
0:09:07 to evaluate a startup investment opportunity.
0:09:11 Right now, the smartest people in the room
0:09:14 think they’re above AI.
0:09:18 Soon, I think they’ll be bragging about using it.
0:09:20 And they should.
0:09:24 Why would anyone hire a doctor, lawyer, or consultant
0:09:27 who’s slower and dumber than their peers?
0:09:29 Why would you hire someone with a fax number
0:09:31 on their business card?
0:09:34 As Scott says, AI won’t take your job,
0:09:39 but someone who understands AI will.
0:09:44 Here are some ideas of how to use AI as a thought partner.
0:09:48 One, ask for ideas, not answers.
0:09:50 If you ask for an answer, it will give you one,
0:09:53 and probably not a very good one.
0:09:54 As a thought partner, it’s better
0:09:57 equipped to give you ideas, feedback,
0:09:59 and other things to consider.
0:10:01 Try to maintain an open-ended conversation that
0:10:06 keeps evolving rather than rushing to an answer.
0:10:10 Two, more context is better.
0:10:13 The trick is to give AI enough context
0:10:16 to start making associations.
0:10:21 Having a generic conversation will give you generic output.
0:10:23 Give it enough specific information
0:10:26 to help it create specific responses–
0:10:29 your company valuation, your marketing budget,
0:10:32 your boss’s negative feedback about your last idea,
0:10:34 and MRI of your ankle.
0:10:39 And then take the conversation in different directions.
0:10:43 Three, ask AI to run your problems
0:10:45 through decision frameworks.
0:10:48 Massive amounts of knowledge are stored in LLMs,
0:10:52 so don’t hesitate to have the model explain concepts to you.
0:10:56 Ask, how could a CFO tackle this problem?
0:10:59 Or, what are two frameworks CEOs have
0:11:01 used to think about this?
0:11:07 Then have a conversation with the AI unpacking these answers.
0:11:11 Four, ask it to adopt a persona.
0:11:16 Quote, “If Brian Chesky and Elon Musk were co-CEOs,
0:11:18 what remote work policies will they
0:11:19 put in place for the management team?”
0:11:21 Unquote.
0:11:23 That’s a question Google could never answer,
0:11:28 but an LLM will respond to without hesitation.
0:11:34 Five, make the AI explain and defend its ideas.
0:11:38 Say, why did you give that answer?
0:11:40 Are there any other options you can offer?
0:11:44 What might be a weakness in the approach you’re suggesting?
0:11:48 And six, give it your data.
0:11:51 Upload your PDFs, business plans, strategy memos,
0:11:54 household budgets, and talk to the AI
0:11:57 about your unique data and situation.
0:11:58 If you’re concerned about privacy,
0:12:01 then go to data controls in your GPT settings
0:12:06 and turn off its ability to train on your data.
0:12:11 When you work this way, the possibilities are endless.
0:12:12 Take financial planning.
0:12:15 Now I can upload my entire financial profile–
0:12:18 assets, liabilities, income, spending habits,
0:12:24 W2, tax return– and begin a conversation around risk,
0:12:27 where I’m missing opportunities for asymmetric upside,
0:12:30 how to reach my financial goals, the easiest way
0:12:34 to save money, be more tax efficient, et cetera.
0:12:36 The financial advisor across the table
0:12:41 doesn’t, in my view, stand a chance.
0:12:45 She’s incentivized to put you into high-fee products
0:12:48 and doesn’t have a billionth of the knowledge and case
0:12:50 studies of an LLM.
0:12:53 In addition, she’s at a huge disadvantage
0:12:56 as the person in front of them, you,
0:13:00 is self-conscious and unlikely to be totally direct or honest.
0:13:03 Quote, I’m planning to leave my husband this fall.
0:13:04 One quote.
0:13:10 We all crave access to experts.
0:13:13 It’s why people show up to hear Scott speak.
0:13:16 It’s why someone once paid $19 million
0:13:19 for a private lunch with Warren Buffett.
0:13:23 It’s why, despite all the bad press regarding their ethics
0:13:26 and ineffectiveness, consulting firms
0:13:29 continue to raise their fees and grow.
0:13:32 But most of us can’t afford that level of human expertise.
0:13:37 And the crazy thing is, we’re overvaluing it anyway.
0:13:41 McKinsey consultants are smart, credentialed people.
0:13:44 But they can only present you with one worldview that
0:13:48 has a series of biases, including how to create problems,
0:13:51 only they can solve with additional engagements.
0:13:53 And what will please the person who
0:13:56 has a budget for follow-on engagements?
0:14:01 AI is a nearly free expert with 24/7 availability,
0:14:06 a staggering range of expertise, and most importantly,
0:14:08 in humanity.
0:14:10 It doesn’t care whether you like it, hire it,
0:14:12 or find it attractive.
0:14:16 It just wants to address the task or query at hand.
0:14:18 And it’s getting better.
0:14:23 The hardest part of working with AI isn’t learning to prompt.
0:14:25 It’s managing your own ego and admitting
0:14:28 you could use some help and that the world will pass you by
0:14:31 if you don’t learn how to use a computer, PowerPoint,
0:14:33 AI.
0:14:36 So get over your immediate defense mechanism.
0:14:39 AI can never do what I do.
0:14:44 And use it to do what you do just better.
0:14:49 There is an invading army in business, technology.
0:14:52 Its weapons are modern-day tanks, drones,
0:14:55 and supersonic aircraft.
0:14:58 Do you really want to ride in the battle on horseback?
0:15:01 [MUSIC PLAYING]
0:15:04 Life is so rich.
0:15:07 [MUSIC PLAYING]
0:15:11 [MUSIC PLAYING]
0:15:13 (light music)
0:15:23 [BLANK_AUDIO]
0:00:04 – It’s maybe a bit long to spend with people we barely know.
0:00:08 – On September 13th, a guarantee you won’t wanna leave.
0:00:10 – Speak No Evil is filled with teeth clenching,
0:00:13 seek clawing suspense.
0:00:14 – Something’s not right with him.
0:00:16 – I’ve always wanted a family like yours.
0:00:19 – James Mackabur will scare you speechless.
0:00:20 – No!
0:00:21 – We’re gonna kill us.
0:00:23 – We’re just sad to see you go.
0:00:28 – Speak No Evil.
0:00:30 – Only in theater, September 13th.
0:00:33 – The collab that you always wanted is finally here.
0:00:35 Tim’s and Nutella.
0:00:37 It’s time to enjoy Nutella in a new way
0:00:40 with your favorite Tim’s baked goods and beverages.
0:00:42 Try them all today at participating restaurants
0:00:44 in Canada for a limited time.
0:00:47 ♪ It’s time for Tim’s ♪
0:00:51 – I’m Scott Galloway, and this is No Mercy, No Malice.
0:00:54 I’ve known Greg Scho of the CEO of Section for years.
0:00:59 Section’s focus is upskilling the enterprise for an age of AI.
0:01:02 AI Thought Partner, as read by George Hahn.
0:01:12 – This is the summer of AI discontent.
0:01:16 In the last few weeks, VCs, pundits, and the media
0:01:21 have gone from over-promising on AI to raising the alarm.
0:01:23 Too much money has been poured in
0:01:27 and enterprise adoption is faltering.
0:01:30 It’s a bubble that was overhyped all along.
0:01:33 If the computer is what Steve Jobs called
0:01:36 “the bicycle for our minds,”
0:01:40 AI was supposed to be our strongest peddling partner.
0:01:44 It was going to fix education, accelerate drug discovery,
0:01:47 and find climate solutions.
0:01:50 Instead, we got sex chatbots and suggestions
0:01:53 to put glue on pizza.
0:01:56 Investors should be concerned.
0:02:00 Sequoia says AI will need to bring in $600 billion
0:02:03 in revenue to outpace the cost of the tech.
0:02:06 As of their most recent earnings announcements,
0:02:10 Apple, Google, Meta, and Microsoft
0:02:13 are estimated to generate a combined $40 billion
0:02:15 in revenue from AI.
0:02:18 That leaves a big gap.
0:02:21 At the same time, the leading AI models
0:02:24 still don’t work reliably, and they’re
0:02:27 prone to ketamine-like hallucinations.
0:02:30 Silicon Valley speak for, they make shit up.
0:02:35 Sam Altman admits chatGPT-4 is, quote, “mildly embarrassing
0:02:38 at best,” unquote.
0:02:42 But he’s also pumping up expectations for GPT-5.
0:02:45 Unless you’re an investor or an AI entrepreneur,
0:02:47 though, none of this really matters.
0:02:49 Let’s refocus.
0:02:54 For the first time, we can talk to computers in our language
0:02:58 and get answers that usually make sense.
0:03:01 We have a personal assistant and advisor in our pocket,
0:03:04 and it costs $20 a month.
0:03:11 This is Star Trek 58 years ago, and it’s just getting started.
0:03:15 If you’re using AI as a bubble as an excuse
0:03:17 to ignore these capabilities, you’re
0:03:18 making a big mistake.
0:03:19 Don’t laugh.
0:03:21 I know Silicon Valley tech bros need
0:03:26 to win after their NFT metaverse consensual hallucination.
0:03:29 And as you’re likely not reading this on a MetaQuest 3
0:03:34 purchase with Dogecoin, your skepticism is warranted.
0:03:41 For all the hype of AI, few are getting tangible ROI from it.
0:03:45 Open AI has an estimated 100 million monthly active users
0:03:47 worldwide.
0:03:50 That sounds like a lot, but it’s only about 10%
0:03:53 of the global knowledge workforce.
0:03:56 More people may have tried chat GPT,
0:04:00 but few are power users, and the number of active users
0:04:02 is flatlining.
0:04:05 Most people bounce off, asking a few questions,
0:04:09 getting some nonsense answers, and return to Google.
0:04:12 They mistake GPT for better Google.
0:04:15 Better Google is Google.
0:04:18 Using AI as a search engine is like using a screwdriver
0:04:19 to bang down a nail.
0:04:22 It could work, but not well.
0:04:25 That’s what Bing is for.
0:04:28 The reason people make this mistake?
0:04:34 Few have discovered AI’s premier use case as a thought
0:04:36 partner.
0:04:39 I’ve personally taught more than 2,000 early adopters
0:04:44 about AI, and section has taught over 15,000.
0:04:47 Most of them use AI as an assistant,
0:04:49 summarizing documents or contracts,
0:04:52 writing first drafts, transcribing or translating
0:04:54 documents, et cetera.
0:04:58 But very few are using AI to think.
0:05:01 When I talk to those who do, they
0:05:04 share that use case almost like a secret.
0:05:07 They’re amazed AI can act as a trusted advisor
0:05:10 and reliably gut check decisions,
0:05:14 preempt the boss’s feedback or outline options.
0:05:18 Last year, Boston Consulting Group, Harvard Business School,
0:05:21 and Wharton released a study that compared two groups
0:05:27 of BCG consultants, those with access to AI and those without.
0:05:32 The consultants with AI completed 12% more tasks
0:05:36 and did so 25% faster.
0:05:39 They also produced results their bosses thought
0:05:42 were 40% better.
0:05:44 Consultants are thought partners,
0:05:48 and AI is super soldier serum.
0:05:54 Smart people are quick to dismiss AI as a cognitive teammate.
0:05:56 They think it can automate call center operators,
0:06:00 but not them, because they’re further up the knowledge work
0:06:01 food chain.
0:06:07 But if AI can make a BCG consultant 40% stronger,
0:06:09 why not most of the knowledge workforce?
0:06:11 Why not a CEO?
0:06:15 Why not you?
0:06:18 Last fall, I started asking AI to act like a board member
0:06:21 and critique my presentations before I sent them
0:06:24 to the section directors.
0:06:27 Even for a long time CEO, presenting to the board
0:06:29 is a test you always want to ace.
0:06:32 We’re blessed with a world class board of investors
0:06:37 and operators, including former CEOs of Time Warner and Akamai,
0:06:39 also Scott.
0:06:41 I try to anticipate their questions
0:06:44 to prepare me for the meeting and inform my decisions
0:06:46 around operations.
0:06:51 I prompt the AI, quote, “I’m the CEO of Section.
0:06:55 This is the board meeting pre-read deck.
0:06:58 Pretend to be a hard charging venture capitalist board
0:07:01 member expecting strong growth.
0:07:03 Give me three insights and three recommendations
0:07:08 about our progress and plan,” unquote.
0:07:14 Claude and ChatGPT Force performance was breathtaking.
0:07:18 AI returned 90% of the same comments or insights
0:07:20 our human board made.
0:07:22 We compared notes.
0:07:26 They were able to suggest the same priorities the board did
0:07:30 with the associated trade-offs, including driving enterprise
0:07:33 value, balancing growth and cash runway,
0:07:36 and taking on more technology risk.
0:07:41 Since then, I’ve used AI to prepare for every board meeting.
0:07:45 Every time, AI has close to a 90% match
0:07:47 with the board’s feedback.
0:07:51 At a minimum, it helps me know most of what Scott is going
0:07:55 to say before he says it, a free gift with purchase.
0:07:58 The AI is nicer, doesn’t check its phone,
0:08:01 and usually approves management comp increases.
0:08:04 Let’s call it a draw.
0:08:06 Think of what this could mean for any
0:08:09 of your high brainpower work.
0:08:11 Less stress, knowing you didn’t overlook
0:08:14 obvious angles or issues.
0:08:17 A quick gut check to anticipate questions
0:08:21 and develop decent answers, which you will improve.
0:08:24 And a thought partner to point out your blind spots,
0:08:27 risks you forgot to consider, or unintended consequences
0:08:29 you didn’t think of.
0:08:33 Whether interviewing for a job, admissions to a business
0:08:35 school, or trying to obtain asylum,
0:08:40 I can’t imagine not having the AI role play to better prepare.
0:08:44 Other scenarios where AI has helped as my thought partner?
0:08:46 Discussing the pros and cons of going
0:08:48 into a real estate project with several friends
0:08:50 as co-investors.
0:08:52 Getting a summary of all my surgical options
0:08:56 after uploading my MRI to fix my busted ankle
0:08:58 so I can hold my own with my overconfident time
0:09:00 starved Stanford docs.
0:09:03 Doing industry and company research
0:09:07 to evaluate a startup investment opportunity.
0:09:11 Right now, the smartest people in the room
0:09:14 think they’re above AI.
0:09:18 Soon, I think they’ll be bragging about using it.
0:09:20 And they should.
0:09:24 Why would anyone hire a doctor, lawyer, or consultant
0:09:27 who’s slower and dumber than their peers?
0:09:29 Why would you hire someone with a fax number
0:09:31 on their business card?
0:09:34 As Scott says, AI won’t take your job,
0:09:39 but someone who understands AI will.
0:09:44 Here are some ideas of how to use AI as a thought partner.
0:09:48 One, ask for ideas, not answers.
0:09:50 If you ask for an answer, it will give you one,
0:09:53 and probably not a very good one.
0:09:54 As a thought partner, it’s better
0:09:57 equipped to give you ideas, feedback,
0:09:59 and other things to consider.
0:10:01 Try to maintain an open-ended conversation that
0:10:06 keeps evolving rather than rushing to an answer.
0:10:10 Two, more context is better.
0:10:13 The trick is to give AI enough context
0:10:16 to start making associations.
0:10:21 Having a generic conversation will give you generic output.
0:10:23 Give it enough specific information
0:10:26 to help it create specific responses–
0:10:29 your company valuation, your marketing budget,
0:10:32 your boss’s negative feedback about your last idea,
0:10:34 and MRI of your ankle.
0:10:39 And then take the conversation in different directions.
0:10:43 Three, ask AI to run your problems
0:10:45 through decision frameworks.
0:10:48 Massive amounts of knowledge are stored in LLMs,
0:10:52 so don’t hesitate to have the model explain concepts to you.
0:10:56 Ask, how could a CFO tackle this problem?
0:10:59 Or, what are two frameworks CEOs have
0:11:01 used to think about this?
0:11:07 Then have a conversation with the AI unpacking these answers.
0:11:11 Four, ask it to adopt a persona.
0:11:16 Quote, “If Brian Chesky and Elon Musk were co-CEOs,
0:11:18 what remote work policies will they
0:11:19 put in place for the management team?”
0:11:21 Unquote.
0:11:23 That’s a question Google could never answer,
0:11:28 but an LLM will respond to without hesitation.
0:11:34 Five, make the AI explain and defend its ideas.
0:11:38 Say, why did you give that answer?
0:11:40 Are there any other options you can offer?
0:11:44 What might be a weakness in the approach you’re suggesting?
0:11:48 And six, give it your data.
0:11:51 Upload your PDFs, business plans, strategy memos,
0:11:54 household budgets, and talk to the AI
0:11:57 about your unique data and situation.
0:11:58 If you’re concerned about privacy,
0:12:01 then go to data controls in your GPT settings
0:12:06 and turn off its ability to train on your data.
0:12:11 When you work this way, the possibilities are endless.
0:12:12 Take financial planning.
0:12:15 Now I can upload my entire financial profile–
0:12:18 assets, liabilities, income, spending habits,
0:12:24 W2, tax return– and begin a conversation around risk,
0:12:27 where I’m missing opportunities for asymmetric upside,
0:12:30 how to reach my financial goals, the easiest way
0:12:34 to save money, be more tax efficient, et cetera.
0:12:36 The financial advisor across the table
0:12:41 doesn’t, in my view, stand a chance.
0:12:45 She’s incentivized to put you into high-fee products
0:12:48 and doesn’t have a billionth of the knowledge and case
0:12:50 studies of an LLM.
0:12:53 In addition, she’s at a huge disadvantage
0:12:56 as the person in front of them, you,
0:13:00 is self-conscious and unlikely to be totally direct or honest.
0:13:03 Quote, I’m planning to leave my husband this fall.
0:13:04 One quote.
0:13:10 We all crave access to experts.
0:13:13 It’s why people show up to hear Scott speak.
0:13:16 It’s why someone once paid $19 million
0:13:19 for a private lunch with Warren Buffett.
0:13:23 It’s why, despite all the bad press regarding their ethics
0:13:26 and ineffectiveness, consulting firms
0:13:29 continue to raise their fees and grow.
0:13:32 But most of us can’t afford that level of human expertise.
0:13:37 And the crazy thing is, we’re overvaluing it anyway.
0:13:41 McKinsey consultants are smart, credentialed people.
0:13:44 But they can only present you with one worldview that
0:13:48 has a series of biases, including how to create problems,
0:13:51 only they can solve with additional engagements.
0:13:53 And what will please the person who
0:13:56 has a budget for follow-on engagements?
0:14:01 AI is a nearly free expert with 24/7 availability,
0:14:06 a staggering range of expertise, and most importantly,
0:14:08 in humanity.
0:14:10 It doesn’t care whether you like it, hire it,
0:14:12 or find it attractive.
0:14:16 It just wants to address the task or query at hand.
0:14:18 And it’s getting better.
0:14:23 The hardest part of working with AI isn’t learning to prompt.
0:14:25 It’s managing your own ego and admitting
0:14:28 you could use some help and that the world will pass you by
0:14:31 if you don’t learn how to use a computer, PowerPoint,
0:14:33 AI.
0:14:36 So get over your immediate defense mechanism.
0:14:39 AI can never do what I do.
0:14:44 And use it to do what you do just better.
0:14:49 There is an invading army in business, technology.
0:14:52 Its weapons are modern-day tanks, drones,
0:14:55 and supersonic aircraft.
0:14:58 Do you really want to ride in the battle on horseback?
0:15:01 [MUSIC PLAYING]
0:15:04 Life is so rich.
0:15:07 [MUSIC PLAYING]
0:15:11 [MUSIC PLAYING]
0:15:13 (light music)
0:15:23 [BLANK_AUDIO]
As read by George Hahn.
Thought Partner
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