Valuetainment - ＂26 Million Jobs GONE!＂ - Anthropic STEALS OpenAI's Best As AI War Gets UGLY

00:00:00.040 Okay, when I sell my business, I want the best tax and investment advice.

00:00:04.800 I want to help my kids, and I want to give back to the community.

00:00:07.940 Ooh, then it's the vacation of a lifetime.

00:00:12.200 I wonder if my out-of-office has a forever setting.

00:00:15.740 An IG Private Wealth Advisor creates the clarity you need

00:00:19.060 with plans that harmonize your business, your family, and your dreams.

00:00:23.480 Get financial advice that puts you at the center.

00:00:26.440 Find your advisor at igprivatewealth.com.

00:00:30.000 Open AI and Anthropik.

00:00:31.940 Something quietly legendary happened yesterday in business.

00:00:35.520 Everybody's, we're going to get into the political story,

00:00:37.200 but everybody was paying attention to this one headline 22 hours ago.

00:00:41.460 Open AI co-founder Andrzej Karpathy joins Anthropik.

00:00:47.340 Wait, what?

00:00:48.520 Yes.

00:00:49.440 Didn't we just get the news that Elon Musk was soon, you know,

00:00:52.840 opened AI and they dropped the case because it was too late to be filed?

00:00:56.080 Yes.

00:00:56.800 Wasn't that like a timing thing where, hey, maybe Sam Altman got himself a little bit of a victory?

00:01:01.540 No.

00:01:01.860 Let me read this to you.

00:01:03.560 Andre Carpatti, known as one of the best AI researchers in the world and a founding member of Whoopin' AI,

00:01:07.900 announced Tuesday that he's joining AI Lab Anthropic.

00:01:11.120 That's like going from the Yankees to the Red Sox.

00:01:13.500 That's like going from the Dodgers to the Yankees, which is actually a good move if you do that.

00:01:17.100 That's like going from, you know, the Lakers to the Clippers.

00:01:20.420 You don't join the Clippers.

00:01:21.980 You don't join a different team.

00:01:23.100 But they're leaving and going to Anthropic.

00:01:25.660 and why this matters.

00:01:26.660 The hire is a major coup for Anthropik

00:01:29.220 in the high-stakes competition for elite AI talent,

00:01:31.740 and another sign the company is emerging as a magnet

00:01:34.720 for some of the industry's most respected technical minds.

00:01:37.880 Driving the news,

00:01:38.740 Carpathia will start next week at Anthropik's pre-training program,

00:01:41.860 which is responsible for the massive training runs

00:01:43.580 that give Claude its core knowledge, capabilities,

00:01:46.160 and according to Anthropik,

00:01:47.240 Carpathia will help launch a new team,

00:01:49.120 focus on using Claude itself to accelerate pre-training research,

00:01:53.580 and increasing important frontier as AI companies

00:01:56.600 race to automate parts of AI development.

00:01:59.060 I think the next few years at the Frontier and LLM

00:02:01.940 will be especially formative.

00:02:03.200 I am very excited to join the team here and get back to R&D.

00:02:06.380 Tom, why is this such a big deal?

00:02:07.960 It's a big deal because he and Sam Altman have gone back and forth.

00:02:10.720 I mean, he tried to leave before, left for a little while,

00:02:13.640 tried to do his own thing, but he was always assumed

00:02:16.800 to be out there kind of in Sam Altman's orbit.

00:02:19.740 You know, you started here and everything,

00:02:21.320 and now he just says, you know what?

00:02:22.560 I'm going to Anthropic.

00:02:24.300 And you have to remember, Anthropic was started, you know,

00:02:28.020 Dario left and went in the name of safety.

00:02:32.120 He said, I think safety is more important.

00:02:34.020 I think there should be safe AI.

00:02:35.480 I think we need to put guardrails around it.

00:02:37.100 I think we need to do these things.

00:02:38.620 And he was claiming that SAM and OpenAI were just going too fast and not doing it.

00:02:44.020 Well, Carpet felt largely the same way.

00:02:48.580 And now he comes up, he's going there.

00:02:51.200 And this is the guy who's taught like the first. There's an interesting step, Pat.

00:02:55.660 He gets permission to teach this course on neural networks at Stanford, and he got his Ph.D. at Stanford.

00:03:03.520 The first time he teaches it, they rounded up like 150 curious students.

00:03:07.960 You ready for this? Two years later, there's a waiting list.

00:03:12.180 And every time the course was offered, there's 750 students want to get into it.

00:03:16.240 So this guy has been seen at Stanford and in Silicon Valley as this neural network genius, and now he is, on the eve of IPO season, he is now at Anthropic with Dario Mady.

00:03:32.060 This is a big deal.

00:03:32.920 Luke, what do you think about this story?

00:03:35.040 It's really interesting you bring up his point about safety.

00:03:37.300 I didn't know that Carpathia was aligned that way because Carpathia put out on X three, four months ago a study that he had conducted that looked at the risk to existing U.S. jobs by sector, by – I think there's 192 job classifications or something in the Bureau of Labor Statistics.

00:03:59.620 And he went by jobs category across the entire U.S. economy and rated each individual job category with the risk of job loss from A.I. over the next several years.

00:04:14.100 And what he found was was shocking, which was that roughly 26 million jobs in America are at between very high or extremely high risk of being disintermediated by A.I.

00:04:28.200 he put this out it's a it's a fascinating chart because it shows each area as a square and then

00:04:33.940 green is very low risk so you there was there it is right there that's the uh um that's that's part

00:04:39.880 of it there right so you uh you can see the areas so you know red is bad green is good red is bad

00:04:47.340 green is good and you can see it there and and so this genius this guy that's worried about

00:04:52.800 safety, which to your point, Pat, I think is really interesting going from to the more safety

00:04:58.420 or the, however you want to term it, focused AI model. This is something he put out three

00:05:05.280 months ago, which is, I mean, look at it. Accountants, gone. Lawyers, gone. Market

00:05:10.080 researchers, gone. Software developers, gone. General office clerks, gone. I mean, it is 26.

00:05:17.380 I mean, but if you keep going, some of these jobs, you just said stuff that maybe we would say,

00:05:21.840 okay that makes sense though Luke those are going to be gone bookkeeping okay gone receptionist

00:05:26.820 okay yep and then but you go on the right side software developers gone gone computer what does

00:05:33.500 that say on the bottom computer I can't see the additional sort of can be yeah it's CS let's just

00:05:37.360 say computer science what are lawyers lawyers is in the red lawyers is lawyers gone wow project

00:05:43.860 managers human resources accountants purchasing which ones are green let's let's focus on the

00:05:50.260 Home health, hand laborers, food and service beverage, cooks, waiters, electricians,

00:05:58.060 right there in the middle, construction laborers, carpenter, general maintenance, janitors, child care.

00:06:03.880 You know, it's a fascinating chart because you have one of the best geniuses in AI three months ago

00:06:11.700 saying what China was to blue-collar workers 25 years ago,

00:06:16.720 AI is going to be to white-collar workers in the next five years.

00:06:19.840 So if I'm, I just came from the eighth grade graduation, right, this morning.

00:06:23.100 And my niece is graduating as well, high school.

00:06:26.420 She's valedictorian.

00:06:27.700 She's going to a very good school.

00:06:29.400 So these kids are doing everything that they're told to do.

00:06:32.060 When they see this, like Steve Wozniak is giving a commencement speech.

00:06:35.500 I don't know if you guys saw this or not.

00:06:37.200 So we saw what Eric Schmidt got with Google.

00:06:39.900 We saw what the other lady got when she spoke at University of Central Florida. 1.00

00:06:44.260 Booed hardcore. 0.86

00:06:45.540 Here's what Wozniak said.

00:06:46.740 Go ahead, Rob.

00:06:47.580 I'll have AI.

00:06:49.840 Y'all have AI, actual intelligence.

00:06:55.720 Now watch what he says, which is very funny what he says, Mike.

00:06:59.520 My entire life in the technical world, I've been following people that were trying to figure out how to make a brain, software, hardware, synapse chips.

00:07:06.560 And I was at a company where the engineers figured out how to make a brain.

00:07:11.720 Takes nine months.

00:07:15.400 It's funny, right?

00:07:16.520 You all have AI.

00:07:17.540 So he gave a promising message, right?

00:07:19.580 And he gave a message that is at least giving kids some confidence.

00:07:23.720 How do you feel?

00:07:24.580 If I'm a 19-year-old, 22-year-old, coming out of high school, going to college,

00:07:28.860 I got a lot of worries.

00:07:30.040 The kids are talking to each other.

00:07:31.140 What do you tell them?

00:07:32.480 I don't know.

00:07:32.940 I mean, I've got three boys, 25, 23, and 20.

00:07:36.280 And we have this conversation with them a lot because the world is changing so fast.

00:07:40.620 There are kids graduating high school today that are going to go,

00:07:45.620 and they've played by all the right rules,

00:07:47.300 And the world's going to be different in, forget about four years, it's going to be different in two years at the pace at which AI is moving.

00:07:52.320 So I don't know what, I think what you have to do is, and I know what we've done with our boys, which is be honest with them, communicate, and then just talk about critical thinking.

00:08:04.480 Like Wozniak says, learn how to think, think critically, have character, you know, as I felt.

00:08:11.180 What skills are they taking?

00:08:11.980 What skills are your three boys going in?

00:08:13.320 What are you majoring in?

00:08:14.080 So the oldest one's already out of college.

00:08:16.080 He's working in audit analytics at a major U.S. bank, and he's actually working on AI governance.

00:08:25.660 His mother and I are, he's going to be taking an online course through MIT that anyone can take,

00:08:30.300 that you have to, you know, there's a tuition associated with it, but it's around AI,

00:08:33.960 because he sees, he's basically, he sees the drag in common, and, you know, we've taught them.

00:08:38.080 When you see the drag in common, you don't run from the dragon, you run at the dragon.

00:08:41.280 Middle one is actually going into funeral services, very AI-proof. 0.96

00:08:46.780 Sales or?

00:08:48.000 His longtime girlfriend, her family owns a funeral home.

00:08:54.040 And so he's been working there.

00:08:55.960 And so he actually likes the business, and it's a great business.

00:09:00.260 So he's moving there.

00:09:00.940 And the youngest one is doing cybersecurity, which we specifically talked about.

00:09:05.280 Let's find something where you can leverage it where you're not going to be in a red square.

00:09:12.380 Luke, what's that MIT course?

00:09:13.600 And is that available for everybody?

00:09:14.880 It's available for everybody. 0.85

00:09:16.720 I'd have to ask my wife.

00:09:17.900 I know she's watching.

00:09:18.760 Is it an online type of class?

00:09:19.760 It's an online type of class.

00:09:20.660 Anybody can take it.

00:09:22.020 Would you mind texting your wife and see if she can respond back so maybe by the end of it we can share with the audience?

00:09:26.520 Richard, your thoughts on this?

00:09:29.360 I'm actually quite positive.

00:09:31.440 um we we do know that uh in in recent uh well actually decades there's been this tendency

00:09:38.360 uh to uh for companies you know uh to merge and companies get bigger and uh staffing um

00:09:46.960 in many big companies has become somewhat bloated i mean there was uh um david graber

00:09:52.880 wrote this book uh bullshit jobs and apologize uh apologize for the language as the book title

00:09:59.080 um and um you know the argument is that actually a lot of these jobs are sort of redundant 0.95

00:10:06.060 and that has become part of the sort of european american you know industrialized country business

00:10:12.960 um modus operandi and i think these jobs are clearly um now endangered but at the same time

00:10:24.480 AI gives a lot of people new opportunities.

00:10:28.980 And the most important area,

00:10:32.260 which I think is very important for economic growth,

00:10:34.880 is not going to suffer.

00:10:37.060 What is that?

00:10:38.560 And I think that's right up your alley

00:10:40.460 and all the things you're doing, Pat.

00:10:43.940 Entrepreneurs, you know, owners of small firms,

00:10:47.940 small firms, micro-businesses,

00:10:51.080 entrepreneurs have now more opportunities and essentially what what uh you know i'm

00:10:57.780 um i would you know as a as a professor also at uni what i'm telling the young generation is you

00:11:04.720 you gotta you know if you so far you haven't thought about being an entrepreneur you should

00:11:10.040 think about it now and it's an exciting thing and i try to you know give some examples and

00:11:15.140 And, you know, essentially think of ways to set up a new business, offer new goods and services.

00:11:22.320 And there's just so many areas because of the changes, and they're going to be big changes.

00:11:28.820 It's really a fantastic opportunity for small firms.

00:11:31.920 Now, one important bottleneck exists, and that is small firms, and that's very well known.

00:11:39.440 I mean, they are the biggest employer, and that's why I'm not really worried that much about the overall economy.

00:11:45.140 And I think if things go well and done well and the policies, the right policies adopted, then we can actually see literally higher economic growth as a result of this and also more job creation.

00:11:56.720 Because it's not the big firms that are the big employer.

00:12:00.120 Sixty percent of jobs are with these small and medium sized enterprises.

00:12:04.020 And in many ways, they're less effective because they're usually lean and they actually they'd like to hire more people, but they can't because.

00:12:10.480 So what is the restriction here? What is the limiting factor that has been limiting growth of small firms?

00:12:17.260 Because they're the ones that deliver productivity and job creation and therefore really the most important players in the economy.

00:12:26.100 Just because they're small, we tend to ignore them.

00:12:28.600 It's not famous big names, right?

00:12:30.700 It's totally unknown, tiny local players.

00:12:33.780 But they could be exporters globally, as we see in Germany, for example.

00:12:37.140 Many of the family-owned small firms are global exporters.

00:12:41.720 Well, the limiting factor is finance.

00:12:45.500 Most small firms are in the position where they already have a lot of good ideas

00:12:49.020 and great ideas to expand, but the money is the limiting factor.

00:12:55.920 And, I mean, there's a lot of research being done on this.

00:12:59.340 Small firms are mostly held back by lack of funding

00:13:03.540 from their main source of external funding.

00:13:06.200 Of course, there's internal funding, and that's the single most important source for everyone is their retained earnings and also family and friends.

00:13:13.660 But for external funding, small firms – and we're talking about these micro-business, very small firms – they're not really able to access capital markets.

00:13:23.820 The way the bigger guys do.

00:13:24.620 Even venture capital.

00:13:25.660 I mean, it's all much bigger.

00:13:26.980 So they get money, external money, from banks.

00:13:30.500 And there is one principle.

00:13:31.900 And we did a study with my collaborator on the U.S. over 20 years.

00:13:38.140 In total, because there used to be more banks, in total it's more than 10,000 banks that we followed for 20 years.

00:13:46.300 Of course, during that time, many also merged.

00:13:49.120 And we classified them into different size categories.

00:13:53.140 And what we found is a very, very strong message.

00:13:56.380 The bigger a bank is, the less it's interested in lending to small firms.

00:14:03.340 And, of course, that makes perfect sense.

00:14:04.980 In many ways, you can't blame the banks.

00:14:07.940 And so the banks that lend most to small firms are the small banks.

00:14:12.340 And it's really the smallest category is the biggest lender to small firms.

00:14:16.580 The second smallest category of banks is the second biggest lender.

00:14:20.380 And so it goes on until you come to the biggest banks and they're the smallest.

00:14:24.340 You know, they have the lowest propensity to lend to small firms.

00:14:27.480 Now, what we also found over time, over these 20 years, is that, because quite naturally, banks also grow.

00:14:34.620 And as they grow and move into a new size category, they also lend less to small firms.

00:14:40.540 That alone, that alone, nothing else, you know, considering, is a reason why we should always create new banks.

00:14:51.160 And the government should make it easy.

00:14:53.280 The regulators should make it easy to always have new startup banks, small banks, because, you know, banks emerge and get bigger and grow.

00:15:02.040 And then the lowest category, smallest category of small firms already not interesting for them.

00:15:07.600 And we've had this problem in the past 15 years in the U.S. and in Europe very strongly that there's been a wave of mergers.

00:15:16.160 The number of banks has declined by thousands, by thousands.

00:15:19.400 And it's interesting what you said, though.

00:15:20.820 Here's the part on the correlation, because when you said 60 percent of the jobs are small business owners,

00:15:26.240 you're the one that shared with me and taught me, though, you know, we had 14,000 we talked about the last couple of years.

00:15:31.960 And so you got me thinking with this. But you know what else has been declining, which is a concern,

00:15:36.300 is the same way bigger banks are picking up the smaller banks or the banks that are screwing up and going out of business.

00:15:42.140 So Chase keeps getting bigger. Yeah. You know, you said 60 percent of jobs are created by small business owners.

00:15:47.420 right? We've always thought about this number. So 60% of total employment is with small and

00:15:53.540 medium-sized enterprises. Do you know what that number is today? That used to be the case in the

00:15:57.420 70s and the 80s. Yeah, is it going down? It's at 45% today. Yeah, which is unhealthy. It's

00:16:03.000 unhealthy. It's not good. There is an opportunity for the younger entrepreneurs to do something

00:16:06.820 with that. I want to remind you guys that the Vol Conference we do once a year, Rob,

00:16:10.320 for those guys that are small business owners and you want to find how to compete in a market like

00:16:15.340 this don't go about it yourself be in a community with other people they can share with you what

00:16:19.500 they're doing we grew this thing from first event being 440 people to uh last year nearly 8 000

00:16:25.880 people this year we're expecting 12 000 people at mgm grand arena rob i don't know if they've

00:16:30.640 given you the video or not if you do have it if you want to play the clip go for it and it's a

00:16:34.440 great opportunity for all of us to get together in one place where we talk about business family

00:16:39.360 there's no walking on eggshells we'll talk about every single thing at one event go ahead rob

00:16:44.280 Successful business people speak a language others don't.

00:16:46.840 It's like when I lived in Germany at age 10 and a month later I'm speaking German.

00:16:50.380 Because I immerse myself in a community of Germans, I speak that language.

00:16:54.240 The same applies for business.

00:16:55.600 So studies have shown that 65% of people that immerse themselves in a new language completely feel like a different person on the other side.

00:17:03.940 So what does it mean?

00:17:04.860 You go to a business conference, you're at the VOL conference, 12,000 other people around you for four days.

00:17:09.740 We're speaking a language that we're fluent in, in business.

00:17:13.180 how we walk into Rome, how we negotiate a deal,

00:17:15.880 how we hire somebody, how we raise capital,

00:17:18.520 how we come up with a new strategy,

00:17:20.280 the more you're around it,

00:17:21.640 you all of a sudden start speaking that language fluently.

00:17:24.160 So when you go back home, you do deals in a different way.

00:17:26.920 You handle your business in a different way.

00:17:29.140 If you want to get fluent and speak in a business language,

00:17:31.480 once a year we host a conference called the Vault Conference.

00:17:34.760 This year for the first time,

00:17:35.720 we're doing it at the MGM Grand Arena in Las Vegas,

00:17:38.220 where we go through this 296-page manual

00:17:41.520 with 12,000 people over four days in one room.

00:17:45.280 If you haven't yet registered,

00:17:47.120 click on the link above or below.

00:17:48.700 Bring your spouse, bring your partner, bring your peers.

00:17:51.220 Let's spend four days to get out of Las Vegas,

00:17:53.220 August 31st through September 3rd.

00:17:55.760 Looking forward to seeing you there.

00:17:57.260 Go to vault2026.com, get your ticket.

00:17:59.580 Again, vault2026.com, get your ticket.

00:18:02.480 Cannot wait to see you and your family

00:18:03.800 at the Vault Conference together.

00:18:05.560 If you enjoyed this video,

00:18:06.700 you want to watch more videos like this, click here.

00:18:08.460 And if you want to watch the entire podcast, click here.

00:18:11.520 We'll be right back.

Valuetainment - May 21, 2026

＂26 Million Jobs GONE!＂ - Anthropic STEALS OpenAI's Best As AI War Gets UGLY

Episode Stats

Summary

Transcript