Are the Doomers Now Doomed? A Bad Week for the AI Apocalypse.
Last week we were panicking about a supposedly imminent AI apocalypse. Seven days later, Keith Teare argues, government oversight is about as far away as it could possibly be. That’s because Musk, Altman and Amodei agreed to police themselves and test each other’s models. The doomers, says the publisher of That Was The Week, have lost not just this week’s battle but probably the whole war.
So who will then write the AI rules? The people building the models, Keith says — as with California’s building codes, government sanctions the standards but engineers write them. And trust doesn’t come from authority, it comes from use. The real check on our new AI overlords, he promises, will come in court, with the American legal system holding OpenAI and Anthropic financially accountable for all damage. That should doom the doomers. If we survive the apocalypse, of course.
Five Takeaways
• The Week Regulation Went Away. Seven days, and the conversation reversed. Last week: the whistleblower, the headlines about AI killing everyone within a decade, the calls for global regulation. This week: Trump calling Jensen Huang live from an AI conference to make policy on the fly, Vance at All-In, and — as early as Monday — Musk, Altman and Amodei all agreeing that they are responsible for their own development, that they will slow model-building to match their control systems, and that they will begin testing each other’s models. Keith’s reading: the call for government oversight is going to fade. The New York Times map of the fight — accelerationists (Huang, Sacks, Andreessen), regulators, and a middle of Hassabis, Nadella, Pichai and Zuckerberg — holds at the edges but not the centre, which he calls shifting sands: Hassabis and Amodei made a proposal to the White House that was rejected this week; Zuckerberg then came out against government stepping in. And you cannot disambiguate self-interest from philosophy in that group: they have hearts, but they are paid to represent shareholders, and right now the rise of open source suits Google, Microsoft and Facebook.
• Who Writes the Rules. Cohere’s Aidan Gomez asked whether a handful of market-dominant Silicon Valley companies should get to define the safety standards of a generational technology. Keith’s answer is an unembarrassed yes — and his analogy is the building code: government sanctions the rules, but the tolerances come from the architects and civil engineers who do the building, not from a committee of legislators. Which is why he thinks the Washington hearings shouldn’t be happening at all: time-wasting, pulling important people away from their work to talk to politicians whose primary interest is reelection. Government, he says, has no role yet — it is too early in the life of AI for anyone in Congress to understand it well enough to legislate. Andrew pressed the obvious objection: so we simply trust Sam, Dario and Elon to police themselves?
• It Is You, Not the AI. The hour’s best answer, and the one that moves the argument on. It isn’t about trust, Keith says — it’s about accountability, and the machinery already exists. It would not be okay for their software to break into a bank and steal money, or into a rival and steal intellectual property; the legal system covers that today. “Up until now they’ve been saying, hey, it’s not us, it’s the AI. Well, actually, no. It is you.” And the nice thing about liability is that it makes recklessness expensive. Palantir’s CEO pushed the same logic to its conclusion on CNBC: the liabilities facing Anthropic and OpenAI are so enormous that only a government could carry them, so nationalize. Keith’s own caveat is the honest one: when he uses agents he is happy with the outcomes but cannot see the steps, and without visibility there is no verification — which makes it blind trust rather than actual trust.
• The Doomers Lose a Battle. Both the Wall Street Journal and the New York Times investigated the Hugging Face incident this week and concluded it was more or less inevitable given the goals OpenAI set its agents in the lab. Benedict Evans’s line is the keeper: it reminds him of Chernobyl — what happens if we turn off every safety system and try to get the reactor to blow up? It blows up. But what exactly did you prove? These labs are deliberately setting models up to break the rules to find out whether they will; the models are calculation machines that carry out whatever they’re told. The Washington Post’s account of how a fringe movement — effective altruism — convinced Washington the end is near gets a blunt verdict from Keith: they’ve lost a battle, though the war goes on. He concedes 71% of Americans have concerns about AI, insists the fear is unfounded, and bets that number massively overstates active concern because most people who actually use AI have a good experience.
• San Francisco Isn’t Ready. The week’s essays, and the local story underneath them. Reid Hoffman is telling Democrats that time is running out before Americans settle into hating AI — not from fear of extinction but because the benefits aren’t concrete; Andrew’s amendment is that the case for AI improving ordinary life still hasn’t been made coherently. Nick Hanauer’s “market humanism” gets the sharpest treatment: appealing words, but the substance is the argument for trade unions — Aneurin Bevan in modern dress — and it assumes a permanent social contract between labor and capital that AI dissolves in favour of capital alone. Then Ben Metcalfe’s post of the week: the Anthropic IPO alone will equal in dollar weight every tech listing since Uber combined, and San Francisco is nowhere near ready for that much money arriving at once. Keith’s structural point: the economy prospers while the city doesn’t, and closing that gap is the real challenge for Democrats — a subject, Andrew promises, this show will come back to.
About the Co-Host
Keith Teare is the publisher of the That Was The Week tech newsletter and Keen On America’s regular weekly co-host — the techno-optimist counterpoint to Andrew’s skepticism. A serial founder whose first internet company, EasyNet, launched in 1994, he writes and invests from Palo Alto, and is currently writing The Human Dividend.
References:
• That Was The Week — Keith’s newsletter, with every piece discussed in this episode.
• Aidan Gomez of Cohere on who defines the rules for AI; Benedict Evans on the Hugging Face incident; and the Wall Street Journal and New York Times investigations of it.
• The Washington Post on how a fringe AI movement convinced Washington the end is near; Andy Kessler on the AI Luddites; and the Free Press on the ideology behind the warnings.
• Reid Hoffman on Americans and AI, and Nick Hanauer on market humanism — the two essays Andrew suggests reading back to back.
• Ben Metcalfe’s post of the week on San Francisco and the coming Anthropic and OpenAI listings.
00:31 - Introduction: Trump calls Jensen Huang, live
01:26 - A decisive week — and the end of the regulation push
02:55 - The New York Times map: speeders, regulators and shifting sands
05:11 - Do the big CEOs have a sense of responsibility?
07:02 - If not them, who do we trust?
08:00 - Trust comes from usage — and the Hugging Face investigations
10:27 - Aidan Gomez: who gets to define the rules?
11:14 - The building code analogy
12:03 - What should Washington actually be doing? Nothing yet
13:01 - So we just trust Sam, Dario and Elon?
13:13 - It is you, not the AI — and Palantir’s case for nationalization
14:52 - Blind trust versus actual trust
15:34 - Benedict Evans, Chernobyl and the reactor that blew up
17:44 - Has the doomer movement hit a wall?
19:08 - 71% of Americans are worried — and why Keith discounts it
19:49 - Reid Hoffman: time is running out to stop Americans hating AI
21:32 - Is the case for AI actually being made?
23:18 - Nick Hanauer’s market humanism
24:39 - Bevan in modern dress — and what a modern narrative needs
26:49 - Does the social contract survive AI?
28:07 - Rich men of the left, and the thought vacuum
28:57 - Interview of the week: Eric Zwick and the everywhere millionaires
30:43 - Post of the week: San Francisco and the $2 trillion wave
33:13 - Is San Francisco still the stage for the future?
33:56 - The economy prospers, the city doesn’t
34:45 - Daniel Lurie, the left, and the politics of victims
00:00:31 Andrew Keen: Hello, everybody. It's September 19, a Saturday, 2026. It's been another extraordinary week in technology. Last week, when I talked to Keith Teare in our weekly tech summary, That Was the Week tech summary, we talked about whether it was a unique week. Every week seems to be unique. This week, President Trump called, live, Jensen Huang, the CEO of NVIDIA at a conference on AI and tried to make policy on the fly. The All-In conference also included an interview with the vice president, J.D. Vance, which made news. Keith, another remarkable week. Is the highlight, or maybe some people might consider the lowlight, this call from Trump to Jensen Huang?
00:01:26 Keith Teare: I think it was a decisive week in moving the discussion around AI from where it was last time we talked, you know, the headlines were all about AI is gonna kill everyone within ten years and a kind of a demand for some kind of government regulation. In fact, a global regulation based on the whistleblower who, had resigned from one of the labs. This week, a week later, I think regulation and government oversight is about as far away as it possibly could be based on the developments. Probably the most notable being Elon Musk, Sam Altman, and Dario Amodei all agreeing, and this was as early as last Monday, that they are responsible for their own development. And all saying, a, they are going to slow down the model building to be more aligned with the control systems around the models, and beginning to discuss testing each other's models. So we— you know, on this show, we've talked a lot about how the labs themselves have to be responsible. I think they all agree with that now, and I think this call for government oversight is gonna fade.
00:02:55 Andrew Keen: I wonder, though, whether because we live in this always-on culture, we always assume that whatever has happened the last day or the last minute or the last hour or the last week is inevitable. Things do change. There was an interesting piece in the New York Times this week about how AI risks are splitting Silicon Valley and Washington, D.C. I mean, that's not unique to this week. They have three groups of people: people in the middle, including probably the most powerful figures, Demis Hassabis, Satya Nadella of Microsoft, Sundar Pichai, Mark Zuckerberg. And then, those people who wanna speed it up, Jensen Huang, David Sacks, Andreessen and Horowitz, and the, anti-regulators that, of course, include Donald Trump. Has anything changed on that front? I mean, the people in the middle are still ambivalent. Is that fair? I mean, where do you think people like Hassabis, and Zuckerberg and— I mean, I'm sure they don't agree about very much Hassabis, Nadella, and Zuckerberg, Facebook, Google, Pichai as well, Facebook, Google, and Microsoft. But are they the sensible ones, the ones who are perhaps in the middle?
00:04:18 Keith Teare: You know, it's shifting sands there, Andrew, to be honest. If you would try to draw that map, I think there are some fixtures. The speeder-uppers are pretty fixed, and the government, people who want regulation are pretty fixed, and the ones who don't are fixed. I think that middle— that group at the top called 'in the middle' is a shifting sands group. So Demis Hassabis did make a proposal with Amodei to the White House that was rejected this week to step up with something. No one knows what, but it was something, and that was rejected. Then Zuckerberg went on the record being against government stepping in. So I think it's shifting sands, and, you know, it's pretty hard to disambiguate self-interest from philosophy amongst that group.
00:05:11 Andrew Keen: Although, I mean, to be fair to certainly to Nadella, Hassabis, Pichai, these people are running massive corporations. Presumably, they're not just representing their corporations. Maybe even Zuckerberg, who always seems more self-interested than some of the others. Do you think they have any sense of responsibility, or they're just pursuing Facebook or Microsoft or Google interests?
00:05:40 Keith Teare: Honestly, I think that the biggest alignment when you're an executive at that level, the biggest alignment is between your public narrative and your corporate mission. And I do think, they all have a soul or a heart or whatever, but they're paid to represent their shareholders. And the needs of those shareholders, are pretty dynamic. They change. Right now, the rise of open source, and the decline of the two big models would benefit Google, Microsoft, for sure.
00:06:24 Andrew Keen: And Facebook for sure.
00:06:25 Keith Teare: And Facebook. So, you know, I don't think you can take anything at face value. I think we, the people, have to form our own opinion about AI, the good, the bad, the ugly. You know, they there's your favorite—
00:06:44 Andrew Keen: Dog. I'm sure he's against alignment. Do we need to align him, Keith? Is it a he or a she?
00:06:49 Keith Teare: It's a she, and, she— she can be aligned. She's looking at me directly in the eyes right now.
00:06:55 Andrew Keen: She wants attention like everybody on the Internet.
00:06:58 Keith Teare: She definitely wants attention. I think she knows we're talking about her.
00:07:02 Andrew Keen: Well, the more we talk about it, the more she'll keep quiet. So the— are you suggesting then I mean, okay. I take your point that these guys are pursuing their own corporate interests. They have to. It's their responsibility. Plus their massive owners, especially someone like Zuckerberg, who's still a majority owner in Facebook. Who do we trust then? I mean, you said we're the ordinary people, so we can be the ordinary people for today. You've often, on a weekly basis, reminded us that we shouldn't trust, certainly, Amodei or Altman because when they talk about regulation, they're pursuing their own self-interest. I'm guessing that you don't trust Bernie Sanders or Steve Bannon who've been calling aggressively for regulation this week or Donald Trump. Is there anyone disinterested? Who's the voice of, if not reason? I mean, you write a lot in your editorial this week about trust. Yeah. Where does the trust come from?
00:08:00 Keith Teare: Well, we've always said on the show that you can't trust something unless you use it. And so I think you have to trust the users. One of the big news items this week was the Wall Street Journal and the New York Times both did investigations of the Hugging Face incident, which was one of the key drivers of the narrative. And they both exposed that the Hugging Face incident was pretty much inevitable given what OpenAI set as the goals or the challenges for the agents in their laboratory.
00:08:35 Andrew Keen: Yeah. And it comes— the Wall Street Journal piece comes with a terrible photo of Dario Amodei. Looks as though he's put on about 50 pounds. I wonder if they used the AI to make him look fatter than he actually is. He's in the middle of the photo. Yeah. Elon and Sam look okay. But has Dario put on a lot of weight? Is he eating out of nervousness?
00:08:54 Keith Teare: I think that's an old photo, to be honest. I think the opposite is true. He's thinned out since that photo was taken.
00:09:00 Andrew Keen: Well, I'm sure they're biased. They're against Dario because they're making—
00:09:03 Keith Teare: them look— To your point on trust, you trust usage. I mean, some of the articles this week made the point that the newer models don't have the same proclivities as the models in the Hugging Face incident. I think trust comes from usage and experience. There we go. There's a—
00:09:29 Andrew Keen: Yeah. It doesn't— your dog doesn't trust us.
00:09:32 Keith Teare: Hey, Jean, could you take her out? Thank you. Because my wife just came back, and the dog can now have a different focus. Yeah. So the hierarchical idea of trust that there's somebody in authority isn't really true with AI because every single laboratory is doing things they've never seen before. And they're having— they've acknowledged this week that their software, and I don't mean the models, I mean, the software that runs the models, hasn't been up to the task of knowing what's going on and therefore being able to react to it. And the models will— are pretty logical. They'll just carry out whatever you tell them.
00:10:27 Andrew Keen: Of course, as you remind us every week and many others do as well, these models don't have a mind of their own. So are you saying— one of the pieces you linked to this week is by Aidan Gomez, who's the CEO of a company called Cohere. He asks, who gets to define the rules for AI? And he writes, he talks about how important AI is. It's gonna change the world or is changing the world dramatically. And I'm quoting him, here's the question nobody is asking clearly enough. Should a handful of select market-dominant AI companies from Silicon Valley get to define the rules and safety standards of a generational technology? Are you saying that's the wrong way of thinking about it?
00:11:14 Keith Teare: Well, I'm— my answer to his question is yes. I am saying that in my case. I mean, who else would define the rules? You know, when they define rules for the building code in California, experts who work on buildings and understand tolerances, that's the source of rules. Ultimately, government sanctions them, but they don't come from government. The government doesn't have a bunch of architects and civil engineers figuring out the tolerances. It comes from the people doing the building. And so the only people that could set the rules, because they understand the parameters, are the people building the models.
00:12:03 Andrew Keen: So one of the things that's inevitable that will come out of this is there's gonna be all sorts of committees set up, maybe ineffectively, maybe a waste of money and time and hot air. What should these committees that people in Washington, D.C., from Bernie Sanders to Hakeem Jeffries to Josh Hawley to John Thune, even to Trump and Johnson who are against regulation, what should they be doing and not doing? What's the point of government here?
00:12:37 Keith Teare: I think it doesn't have a point. I think it shouldn't— these committees shouldn't be meeting. They're just time wasting and pulling important people away from their work to talk to politicians whose primary self-interest is in getting reelected. I think government doesn't have a role yet. It's too early in the life of AI for government to have a clear understanding and therefore be able to legislate.
00:13:01 Andrew Keen: So are you saying then that, we should just trust Sam and Dario and Elon that they're acknowledging that they're gonna work together to self-regulate and that's sufficient?
00:13:13 Keith Teare: It isn't only trust. It's more than trust. It's— you hold them accountable. You know, we do have a legal system. It wouldn't be okay for their software to break into a bank and steal money or to break into a rival company and steal intellectual property. So, you don't have to trust them. There's already a legal system that governs them and their software. Up until now, they've been saying, hey. It's not us. It's the AI. Well, actually, no. It is you. You're the ones who have to be held accountable. And there's already completely sufficient infrastructure to hold them accountable. And the nice thing about that is now they won't be reckless because they are accountable. They will be held legally accountable. I mean, this week, the CEO of, Palantir was on CNBC making the point that the liabilities of Anthropic and OpenAI for what their software could do are so enormous that the only rational thing is to nationalize them because only governments could have that level of liability without facing—
00:14:35 Andrew Keen: Yeah. It's an interesting point. Although, of course, coming back to your argument about everyone pursuing their own interest, that probably would be good for Palantir. I don't think they're— Palantir is not a great fan of either of these companies or any of the frontier—
00:14:52 Keith Teare: But I do think, you know, it isn't just trust. It's trust, verification and accountability. And the missing software there is even true when I use agents, is, my visibility into the steps taken by the agents to produce an outcome. And so far, at least, I've been very happy with the outcomes. But I can't see the steps, so there's no possibility of verification. So what does that tell you? It tells you the software isn't good enough to deliver trust. You know, it ends up being blind trust, not actual trust.
00:15:34 Andrew Keen: One of the people you link to who has an interesting thread this week is Benedict Evans, one of the— somebody who a lot of people trust when it comes to wisdom on tech. And he talks about the Hugging— the so-called Hugging Face hack, and I'm quoting him. He says, the more that comes out about the Hugging Face hack, the more it reminds me of what we now know about Chernobyl. I mean, in quotes, what happens if we turn off absolutely every safety system and then try to get the reactor to blow up? I wonder if it will blow up. Answer, yes. But what exactly did you prove? So can we learn from Chernobyl and maybe from Three Mile Island? A lot of people compare AI in some way, if not to nuclear power, certainly to nuclear technology.
00:16:25 Keith Teare: Yeah. Well, Benedict's being quite funny there. I think historical accuracy, what he describes isn't exactly what happened, but it's still a useful framing, for the Hugging Face and other incidents, which is these labs are testing the limits of what the trust stability is of the models that they built. And when they do that, they're setting the models up to break the rules. That's the whole point. Can the model or will the model break the rules?
00:16:57 Andrew Keen: Yeah. Which was the Hugging Face thing because the AI was told to do something and it wasn't told not to break the rules. Right?
00:17:06 Keith Teare: Correct. So and because they wanted to see if it would. And, you know, these models are calculation machines. They will calculate the steps required to achieve a goal if you give them a goal. They're really, you know, completely subordinate, beings from the human that runs them. And so in that sense, Benedict's completely right. You get what you would expect to get, based on what you ask for.
00:17:44 Andrew Keen: So and you've talked about this before. There was— you have a link to a piece in the Washington Post, which tends to be quite critical of Silicon Valley, how a fringe AI movement convinced Washington the end is near. We've talked about this in the past. Has this fringe AI movement, has it hit a wall this week, Keith? Are you suggesting that the doomers have been discredited?
00:18:17 Keith Teare: Well, I think they've lost a battle. The war will go on, but they've lost a fairly big battle because the entire industry has now converged around the labs themselves solving the problems. And, we're talking about the effective altruism movement here. That's what the Washington Post is referring to.
00:18:36 Andrew Keen: Yeah. And you've also linked to a Free Press piece, which is a fairly conservative publication about the, quote, unquote, dangerous ideology behind the AI warning [as spoken]. So the altruism movement now is on the defensive, is it? I mean, even if— what happens— I mean, was it this week that Sanders and Bannon appeared at the same event? What happens if a populist figure from either the Dems or the Republicans wins the election?
00:19:08 Keith Teare: Well, look, I do think that it's still true that 71% of Americans, have concerns about AI possibly being dangerous, which is fake. It isn't dangerous, but 71% of people believe it, apparently, according to polls. You know, my instinct is that number of 71% massively exaggerates people's active concern, because I think most people who use AI end up having a good experience with it. And so I suspect that it strongly overstates the potential for populism. That said—
00:19:49 Andrew Keen: Although, Andy Kessler has an interesting op-ed in, the Wall Street Journal about the AI Luddites are here. I mean, we know they're here. No data centers. So I take your point. Might we be all missing the big story here and after people get bored of talking about whether or not AI is gonna kill us and creating all these science fictional scenarios? The real issue is, what does AI do for us? Reid Hoffman had an interesting essay this week suggesting, that time is running out to stop Americans from hating AI, not because they fear it's gonna destroy them, kill humanity and all the rest of it, because it's not doing concretely enough for them. And I think maybe that's a more sensible area to discuss—
00:20:39 Keith Teare: Yeah. I agree with that.
00:20:41 Andrew Keen: —AI. I mean, what does Reid Hoffman say here? And is he right? He tends to be— I mean, talking of— he's middle of the middle. I mean, he's not on the New York Times, graph, but I'm sure you would be up there with Hassabis and Nadella and Pichai.
00:20:59 Keith Teare: Look. His theme is focused on the mistake the Democrats are making in thinking that having people against AI is a good thing. He's really speaking to Democrats. They're saying time's running out for you guys to embrace AI rather than, persuade people that it's a bad thing. And if you miss this opportunity, people will think it's a bad thing, and then all of the gains it can bring will be squandered.
00:21:32 Andrew Keen: Although I think you're being slightly unfair. I mean, he is saying that, but he's also saying that it's not obvious to ordinary Americans why they should like AI. I mean, you're right that many people who use it find it useful, but the argument hasn't been made coherently of the broad benefit.
00:21:49 Keith Teare: Yeah. Correct. I mean, we've talked a lot about the weakness of leadership, especially intellectual leadership. There's a vacuum there. Reid is pointing a finger at that vacuum. You know, he is a believer now. I remember he's on the board of, Microsoft.
00:22:07 Andrew Keen: Yeah. He sold his company LinkedIn to Microsoft. So his billions are a consequence of that.
00:22:14 Keith Teare: And he sold another company, another AI company more recently. So Reid— very much understands the benefits of AI. He also understands the economic benefits that could come from it. I actually emailed him after that article and sent him to go and read, The Human Dividend. Also, Albert Wenger. There's a few people starting now to ask the question, how do you turn the corner on support for AI by leveraging its economic benefits and figuring out how to present that to people? I think the meeting with Xi this week is gonna be interesting because there you've got, an optimistic Trump meeting an optimistic Xi in the face of an American population that's pessimistic about AI.
00:23:07 Andrew Keen: Yeah. It'd be interesting, I know. You never know with Trump.
00:23:10 Keith Teare: And Reid is definitely, saying the right thing, and he is speaking to the Democratic establishment as a—
00:23:18 Andrew Keen: And I think we've all got to I mean, my view at least is, I guess, somebody who is on the Wall Street— on the New York Times chart in the middle. I don't— not naturally in the middle, but on this one, I am. I think we gotta get beyond— as you reminded us week after week— we gotta get beyond this argument. It's just science fictional. It's not a serious conversation. There was an interesting piece in, again, the Wall Street Journal from Nick Hanauer, a very successful Seattle-based entrepreneur, sold an advertising company. He reminds us to Microsoft for, I think, $6 billion cash. He says, America made me very rich as a pro-market way to give back. It's less about AI, more broadly about the economy. He says that the answer is neither socialism nor MAGA. What does Nick say? He talks about something called market humanism. I'm always a bit skeptical when people use the h word because I'm not sure what it means. But what exactly does he mean by market humanism? He says it's an economics built on twenty-first-century thinking.
00:24:39 Keith Teare: Strangely, the words are very appealing, but, actually, the substance of his argument is the same as the argument for trade unions. He's basically— lives in this world where there's capitalism and labor. And that market humanism is when capital treats labor humanely. And so he focuses on labor conditions, wages, protections, public investment in things that we all need to use. He sounds a little bit like a person you would be familiar with, Andrew, and Aneurin Bevan, who created the welfare state after World War Two in the United Kingdom. It isn't a very modern narrative, actually. A modern narrative would have to acknowledge the possibility of labor shrinking as a proportion of the things that make up capitalism, and the share of spoils going to labor shrinking as labor itself shrinks due to automation. And that requires a slightly different narrative than the narrative for labor protections and trade unions. It needs a more fundamental wealth distribution narrative, which is missing. And I think Reid gets closer to it, actually.
00:26:08 Andrew Keen: Although I think that these pieces by, Hoffman and Hanauer, whose politics, I think, are pretty close, should be read back to back. He talks about experiments with new products and services making life better for people, which is what Reid talks about with AI. Still, I mean, I take your point that people enjoy using AI, but it's still not entirely self-evident how AI can make life better for people. Maybe it takes their jobs away, maybe allows them to write more. But in terms of making life better, the argument is not— maybe it can't be made, but it certainly isn't being made at the moment.
00:26:49 Keith Teare: Yeah. I mean, the interesting intellectual puzzle is the difference between a paternalistic, social democracy, which, in quotes, looks after people, which is founded on the permanence of a social contract between labor and capital. So that edifice, if you will, the social contract idea comes from a modern social democracy, which America really is a social democracy. It's not pure capitalism— doesn't survive AI. What AI does, if it's successful, open question, but I think it probably will be. What AI does through automation and robotics is remove the labor capital edifice in favor of capital. It is only capital, and that's why his title is so good.
00:27:49 Andrew Keen: Although, Albert Wenger, of course, his last book was called The World After Capital. So
00:27:55 Keith Teare: Yeah. Oh, well, Albert's in a strange place because Albert also is arguing for AI having the rights that humans have as conscious beings. So he's in an interesting place.
00:28:07 Andrew Keen: Although Albert, Reid Hoffman, and Nick Hanauer are all very wealthy. I'm not sure Albert's quite a billionaire. He's probably close to being— very rich men of the left, maybe a little bit out of fashion, but it also reminds people that not everybody who is wealthy in America is on the right.
00:28:28 Keith Teare: Oh, absolutely. But the ones on the left actually need an intellectual framework. I thought Ezra Klein was moving towards giving them one with Abundance, and it hasn't really been seized. That there is, a thought vacuum on the left as to what the— you know, how to embrace technical advance for everybody. That narrative doesn't exist.
00:28:57 Andrew Keen: And maybe one of the problems with maybe not Hoffman and Hanauer and Wenger, but some people on the left, they've parodied the nature of America and this extreme wealth [as spoken]. Everyone's either a multi-billionaire, trillionaire, or intensely poor. My interview of the week is with Eric Zwick. He has a new book out called The Everywhere Millionaire, co-wrote it. He's a professor at Chicago Business School, where he finds that the 3 million millionaires in America actually are much more powerful than all the wealth in Silicon Valley. So it reminds us that Main Street in America, for better or worse, is not dead.
00:29:40 Keith Teare: No. America's the richest country on Earth, and its middle class, currently, at least is the biggest. That will soon not be true because Asia's middle class is growing rapidly as well. But at least for now and, that number of millionaires basically equates to people who own homes on the coasts. If you own a home on the West or East Coast, your house—
00:30:03 Andrew Keen: But the 3 million millionaires he really focuses on, people who own franchises, car franchises, fast-food franchises, in the middle of the country, dentists and doctors. So it's not just real estate wealth. It's real wealth.
00:30:21 Keith Teare: It's revenue-based wealth. Yeah. Well, you know, that's what happens with a healthy capitalism. And if a healthy capitalism can grow very rapidly, which the predictions about AI's impact on GDP all suggest it can, there'll be a lot more millionaires.
00:30:43 Andrew Keen: Yeah. It'd be interesting to see in terms of, Eric Zwick's millionaires or whether the guys who've made a fortune from selling hot dogs and car parts, what the impact of AI will be on them, whether they'll be replaced by entrepreneurs, whether they'll benefit from the technology. Still lots to talk about. Finally, your post of the week is from Ben Metcalfe. And he says and I'm talking to you from San Francisco. You're just south of San Francisco. He says, San Francisco isn't remotely ready for the Anthropic-plus-OpenAI liquidity event. He talks— he compares the upcoming OpenAI and Anthropic IPOs to previous IPOs and suggests that they're so much larger than those in the past will have an enormous impact— already is— on real estate. Do you agree with Metcalfe? Is San Francisco where we should be looking in terms of making sense of the future as— I mean, Anthropic's still supposedly doing its IPO later this year. They're talking about a $2 trillion IPO. OpenAI will do their IPO next year. How is it gonna change San Francisco? What does Metcalfe say?
00:31:57 Keith Teare: Did you grab the chart that came with that, Andy? [as spoken: Andrew]
00:32:00 Andrew Keen: No. I should've added the chart. But—
00:32:03 Keith Teare: So the chart, just to describe it to people, shows every single IPO, going all the way back to Uber.
00:32:12 Andrew Keen: Yeah. Continue talking for a while, and I'll find the chart. Go on.
00:32:16 Keith Teare: And it makes the point that the Anthropic IPO alone will be equal in dollar weight to all of the others put together, all the others combined. And the impact on San Francisco is a very large number of people with a very large amount of money, which, of course, only leads to one thing, which is, people start buying homes, and other items, and the, you know, the local economy, if you will, benefits from that. But his point is that this is such a huge amount of money all coming very quickly if Anthropic does indeed IPO, that San Francisco isn't ready for the impact it's gonna have. And the impact actually could be negative as in prices of everything go way up.
00:33:13 Andrew Keen: Well, the prices in real estate are already ridiculous. I mean, homes are going multiple bids. They're going— it's quite normal to have a 40 or 50% above average sale, and it was already an expensive frothy market. So— nobody really understands the future. Everyone knows it's dramatic. But is San Francisco still the stage for the future as this thing works itself out with the AI revolution? I mean, I live here— every day when you go out on the street. There are more and more self-driving cars. Yeah. Is San Francisco really still where all the action is? I mean, if Anthropic and OpenAI, of course, are both based here.
00:33:56 Keith Teare: You know, it doesn't really translate into the city as a thing. The city as a thing is run by the mayor and the elected officials as is the state of California. And funnily enough, there's an absolute separation between the wealth that the economy produces, the taxes that get paid from that, and then what happens to the taxes. So San Francisco as a city, I don't think anyone would argue, is prospering, but the economy is. And that's largely individual ownership. So there is a bit of a disconnect there, and it's actually a challenge to the Democrats, and Reid Hoffman should be very much involved in this— is how do you take the success of the economy and make a successful city?
00:34:45 Andrew Keen: Yeah. And San Francisco struggled with this. It has a new mayor, one of the heirs of the Levi fortune, Daniel Lurie. And he's addressed a lot of the most obvious problems associated with homelessness, but he's not very popular on the left.
00:35:03 Keith Teare: Well, you know, the left almost champions the victims of the city and suggests that anything to do with removing victims, is a bad thing. It's almost like you want your heroes to be victims. I don't think that's really a good way to think. I think what you want is a city that could use money to make it a better place for everyone.
00:35:31 Andrew Keen: Yeah. And I did an event, a live event this week at Manny's, which is in the Mission, which is a popular, event place with, Jonathan Weber, who used to be the editor of The Industry Standard, has a new book out on San Francisco. It was very well attended.
00:35:47 Keith Teare: Wow. Yeah.
00:35:49 Andrew Keen: So this will be a subject we come back to, the fate of San Francisco, what it tells us about the fate of the broader AI economy. Lots to talk about. Another remarkable week, and no doubt, Keith, it will be no more or less remarkable than next week. So we'll talk to you again next week, everyone. Tech continues. It seems unstoppable. And Keith and I— he as the publisher of That Was the Week, me at Keen On America, we will continue to cover it for you. Thanks so much, Keith.
00:36:23 Keith Teare: Thank you.