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Audio · 2026-05-08 · 1h 22m · 16 moments

Elon's Anthropic Deal, The Next AI Monopoly?, "FDA for AI" Panic, Trading the AI Boom

(0:00) Bestie intros! Thoughts on the LA mayor election (4:38) SpaceX-Anthropic deal, Elon Web Services, SpaceX IPO valuation, Anthropic's insane growth trajectory (26:48) Is Anthropic the next great monopoly? Early signals or major overreaction? (35:21) "FDA for AI" freakout, how the White House thinks about AI safety (52:01) Flipping AI's negative perception: Giving, healthcare and education innovation (1:00:04) Trading the AI market, state of the economy Apply for Summit 2026: h ✦ AI generated

timeline · colored by role

01
Data

Anthropic's revenue trajectory is unlike anything Silicon Valley has ever seen — growing 10x per year, from $10B ARR to $30B in Q1 alone, and on track to exit the year at ~$100B ARR.

David Sacks argues Anthropic's 10x-per-year revenue growth is unprecedented in Silicon Valley history, with ARR tripling from $10B to $30B in Q1 2026 and potentially reaching $100B by year-end, making it on track to become the most valuable tech company ever.

transcript

David Sacks: For the last three years, Anthropic has been growing at a rate of 10x a year. I think going into this year, probably the conventional wisdom was that there'd be no way to sustain that kind of rate of growth at this level of scale. And what happened in the first four months of the year? First, we find out that from January 1st to March 31st, they grew from roughly 10 billion of ARR to 30 billion. So it tripled. And then in April, if anything, the rate of increase seemed to accelerate. They went from 30 to 44 billion of ARR. Nobody in Silicon Valley has ever seen anything like it. Forget about the rest of the country. I mean, All we do in Silicon Valley is deal with exponentials, and still people have never seen that kind of growth at that level of scale. The only thing holding them back in the future was compute. Now they've made this deal. They've made other deals as well to get that compute. I think it's pretty much a foregone conclusion that they will hit that forecast of 10x this year, exiting the year, call it roughly 100 billion of ARR.

explains mechanism · 1provides context · 2supports · 1

02
Mechanism

The SpaceX-Anthropic compute lease deal solves a critical structural problem for both companies and validates Elon's bet on building massive compute infrastructure ahead of demand.

Chamath Palihapitiya and Brad Gerstner explain that the deal provides Anthropic with desperately needed compute (220K GPUs, 300+ MW), solves xAI's balance sheet problem by monetizing excess capacity, and validates the SpaceX IPO thesis by establishing Elon Web Services as a real hyperscaler business.

transcript

Chamath Palihapitiya: I think the deal is fantastic. ... Anthropic and OpenAI's revenue performance has nothing to do with demand. Zero. It is entirely to do with the supply constraints that exist in data centers and specifically in power. If they had infinite power, I think that their revenues would probably be even more parabolic. ... For Elon, if you look inside of how people try to nitpick the SpaceX valuation case... the biggest element is the on-the-come value around the orbital data centers. And by actually landing a bunch of terrestrial capacity, I think you start to blunt that because you can now start to say that even if the orbital data centers get delayed by a few months or a few quarters... he now has a structural core business that will effectively subsidize his ability to train Grok.

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03
Claim

Anthropic and OpenAI revenue growth has nothing to do with demand — it is entirely constrained by data center and power supply

Chamath argues that AI lab revenues are purely supply-constrained by compute and power availability, not demand. If they had infinite power, revenues would be even more parabolic, making breathless forecasts about exceeding or underperforming meaningless.

transcript

Chamath Palihapitiya: The first is, as I mentioned a couple of weeks ago, Anthropic and OpenAI revenue performance has nothing to do with demand. Zero. It is entirely to do with the supply constraints that exist in data centers and specifically in power. If they had infinite power, I think that their revenues would probably be even more parabolic. And so all the breathlessness about either exceeding or underperforming a forecast, in my opinion, mean nothing. I think the five-year view for those two companies is quite robust. The thing that they really need is more compute and more power.

rebuts · 2

04
Mechanism

The SpaceX-Anthropic compute deal transforms SpaceX valuation case by creating a terrestrial hyperscaler business (Elon Web Services) that subsidizes Grok training and blunts the risk of orbital data center delays

Chamath explains how Elon's lease of Colossus 1 to Anthropic creates a structural core business for SpaceX — Elon Web Services — that generates billions in revenue, subsidizes xAI's Grok training, and addresses the biggest bear case in SpaceX's IPO valuation around orbital data center timing risk.

transcript

Chamath Palihapitiya: When people try to paint the bear case or they try to red team the valuation, the biggest element is the on-the-come value around the orbital data centers. And by actually landing a bunch of terrestrial capacity, I think you start to blunt that because you can now start to say that even if the orbital data centers get delayed by a few months or a few quarters, even if the technological de-risking of it takes longer, he now has a structural core business that will effectively subsidize his ability to train Grok, which I think is a really important and under-reported theme. So you have all this infrastructure. He somehow saw the tea leaves before most people. He built to a level of scale and secure power before most people. It has now become the critical asset. And now he's kind of king-making. And I think that that's a really interesting valuation reinforcement as SpaceX goes through testing the waters and the roadshow.

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05
Claim

The protests against AI data centers are not organic local activism but highly organized campaigns — the same playbook used to block nuclear reactor construction in America 30 years ago.

Brad Gerstner argues that organized activist groups are moving across the country to stir up opposition to data centers, using the same tactics that successfully halted all nuclear reactor construction in the US, while noting that electricity costs are falling in Texas (where data centers are being built) and rising in California and New York (where they aren't).

transcript

Brad Gerstner: One thing I want to dispel this myth, this is not like organic, hyper-local protests by people in a community that aren't being spurred on. This is highly organized activists that are moving across the country to stir up trouble in the exact same way they did to stop all fission reactors being built 30 years ago in America. Now we have no nuclear reactors being built. China's got 100 of them. Who was funding those activists? I think we need to really look into who's funding the activists now. ... The misinformation about water, the misinformation about electricity bills — electricity bills are going up in the places that are not building data centers, New York and California, because they haven't built any supply on the grid. In Texas, where you're building the most data centers in the country, electricity costs are going down.

06
Data

Anthropic's growth trajectory is unprecedented in Silicon Valley history — three years of 10x revenue growth, tripling from $10B to $30B ARR in Q1, accelerating to $44B in April, on pace to exit the year at $100B ARR now that compute constraints are solved.

David Sacks presents Anthropic's stunning growth metrics: the only thing holding them back was compute, and now with the Colossus deal, hitting $100B ARR this year is a foregone conclusion, with a trillion-dollar revenue path by 2027 now in play.

transcript

David Sacks: So for the last three years, Anthropic has been growing at a rate of 10x a year. I think going into this year, probably the conventional wisdom was that there'd be no way to sustain that kind of rate of growth at this level of scale. And what happened in the first four months of the year? First, we find out that from January 1st to March 31st, they grew from roughly 10 billion of ARR to 30 billion. So it tripled. And then in April, if anything, the rate of increase seemed to accelerate. They went from 30 to 44 billion of ARR. Nobody in Silicon Valley has ever seen anything like it. Forget about the rest of the country. I mean, all we do in Silicon Valley is deal with exponentials, and still people have never seen that kind of growth at that level of scale. The only thing holding them back in the future was compute. Now they've made this deal. They've made other deals as well to get that compute. I think it's pretty much a foregone conclusion that they will hit that forecast of 10x this year, exiting the year, call it roughly 100 billion of ARR. And now the only question is whether they hit a trillion in 2027.

extends · 1supports · 2

07
Prediction

Anthropic is on an unprecedented growth trajectory — 10x per year — and if sustained for 18 more months, will become the most powerful monopoly in human history with a trillion dollars in ARR

David Sacks lays out Anthropic's staggering growth: from ~10B to 30B ARR in Q1 2026, then to 44B in April alone. He argues that if this 10x annual growth continues, Anthropic will hit ~100B ARR by year-end and potentially a trillion by 2027, making it more valuable than the entire Mag 7 combined.

transcript

David Sacks: For the last three years, Anthropic has been growing at a rate of 10x a year. I think going into this year, probably the conventional wisdom was that there'd be no way to sustain that kind of rate of growth at this level of scale. And what happened in the first four months of the year? First, we find out that from January 1st to March 31st, they grew from roughly 10 billion of ARR to 30 billion. So it tripled. And then in April, if anything, the rate of increase seemed to accelerate. They went from 30 to 44 billion of ARR. Nobody in Silicon Valley has ever seen anything like it. Forget about the rest of the country. I mean, all we do in Silicon Valley is deal with exponentials, and still people have never seen that kind of growth at that level of scale. The only thing holding them back in the future was compute. Now they've made this deal. They've made other deals as well to get that compute. I think it's pretty much a foregone conclusion that they will hit that forecast of 10x this year, exiting the year, call it roughly 100 billion of ARR. And now the only question is whether they hit a trillion in 2027. We can debate whether that's true or not, but look, if they do that, I think they'll easily be the most valuable tech company in history. ... unless something about their current trajectory changes, Anthropic will be the most powerful monopoly ever created in human history. Again, it will be a trillion dollars of ARR growing at some exponential.

rebuts · 1supports · 1

08
Prediction

Unless its trajectory changes, Anthropic is on track to become the most powerful monopoly ever created in human history — eclipsing the entire Magnificent Seven combined.

David Sacks warns that if Anthropic sustains its current 10x-per-year growth for just 18 more months, it will become the most valuable company in history with unprecedented control over AI, using a Rockefeller analogy to argue that safety rhetoric may be a distraction from monopoly-building.

transcript

David Sacks: Unless something about their current trajectory changes, Anthropic will be the most powerful monopoly ever created in human history. Again, it will be, you know, a trillion dollars of ARR growing at some exponential. Dario calls it AGI. I call it the biggest monopoly in human history. ... I just want you to think for a second about the case of John D. Rockefeller, who I think is known as probably the most successful monopolist in American history. But he wasn't very good at PR. He was terrible at PR. Everyone sort of recognized how ruthless he is. ... Imagine if John D. Rockefeller was way better at public relations. And instead of calling his company Standard Oil, he called it Safe Oil. ... People might even have called Rockefeller an effective altruist, because of course, he was so concerned about the safety of his product.

explains mechanism · 1extends · 1provides context · 2supports · 1

09
Claim

Anthropic is on track to become the most powerful monopoly in human history, and the safety rhetoric around AI is a modern version of Rockefeller's playbook — using calls for safety regulation as a tool of regulatory capture to entrench dominance.

Sacks draws a parallel between Anthropic's safety positioning and Rockefeller calling Standard Oil 'Safe Oil' — arguing that the safetyist policies being proposed would create a stronger moat around the emerging AI duopoly and get in the way of competition.

transcript

David Sacks: Unless something about their current trajectory changes, Anthropic will be the most powerful monopoly ever created in human history. Again, it will be a trillion dollars of ARR growing at some exponential. Dario calls it AGI. I call it the biggest monopoly in human history. And I guess I do have a thought experiment for you guys. I just want you to think for a second about the case of John D. Rockefeller, who is known as probably the most successful monopolist in American history. Imagine if John D. Rockefeller was way better at public relations. And instead of calling his company Standard Oil, he called it Safe Oil. And I think people would have gotten so wrapped up in this debate over what constituted safe oil or safe kerosene that they would have missed what was really going on, which is that Rockefeller was building the richest, most powerful monopoly of all time. In fact, people might even have called Rockefeller an effective altruist, because of course, he was so concerned about the safety of his product. I do think that if you actually look at what a lot of the safetyist policies are calling for, they're basically calling for a form of regulatory capture. And they're calling for things that would create a stronger moat around this monopoly or duopoly that's in the process of being created. And it would get in the way of competition.

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10
Context

Calling Anthropic a monopoly at this stage is premature and dangerous — these are still fledgling startups facing fierce competition from Google, Amazon, and Meta, and preemptive regulatory talk risks derailing America's AI lead.

Brad pushes back hard on Sacks's monopoly framing, arguing Anthropic and OpenAI are tiny compared to the hyperscalers with $100B in free cash flow, and the last thing we need is Washington preemptively picking winners and losers at the starting line of AI.

transcript

Brad Gerstner: It's ridiculous to think of this as a monopoly. You know, we're talking about annual run rate revenues, David, but on a gap basis, they're doing about the same revenue as OpenAI in the month of March. Okay, so we're way ahead of ourselves. By the way, five months ago, everybody thought OpenAI was going to run away with this. Google's revenues are very substantial in AI. And by the way, Google, Amazon, et cetera, these companies are producing $100 billion of free cash flow to justify their incremental investment. At the same time, you have these two startups that are still fledgling, that are still fragile in the scheme of things. You of all people should know we've got the best competition in AI on the planet, which is why we're at the frontier and kicking the tail of everybody else on the planet. So I just want to see these companies compete. I want to see DC stay out of the way. The last thing I want to be doing is, you know, seeing people talk about this and throwing roadblocks into the way of the competition.

rebuts · 2

11
Claim

Elon Musk commands a massive valuation premium because he is the only tech leader still producing genuine innovation that benefits society, while other Big Tech companies have settled into incrementalism — extracting more from existing products without creating new value

Chamath and Jason argue that Elon's companies trade at 2-4x market multiples because he alone continues to innovate across multiple domains (factories, energy, space, compute), while the rest of Big Tech has stagnated into incremental improvements like better ad targeting. The market rewards innovation with a premium and penalizes stagnation.

transcript

Chamath Palihapitiya: There's only one person on the planet who has a future pipeline of innovation and the largest TAM in the world because he's playing in all these different spaces that can command that multiple and it's Elon and it's deserved and it's great. The big message that I take away from this, which the markets and retail are telling you is, you guys have stopped innovating. There's a lot of incrementalism. And we as a society aren't benefiting broadly the way that you told us we would be. And so maybe this is the best way for them to get this message, which is to whack their valuation. And by the way, when Tesla and SpaceX merge and we have all things Elon and Elon Corp, which will happen probably by the end of the year, maybe next year, it's going to break everybody's brains again, because you'll have this one asset that will trade at a valuation premium. And I think it's logically explainable, which is everybody else has stopped innovating. People know how to draw more blood from the stone, how to target better ads. That does nothing for society anymore. In fact, it does the opposite.

supports · 1

12
Claim

The big tech incumbents (Apple, Google, Meta, Amazon) have stopped innovating — they are being penalized in valuation because they only know how to optimize existing business models rather than create transformative new products.

Jason Calacanis argues that the market is sending a clear signal that big tech has stopped innovating and is only doing incrementalism, pointing to Apple's lack of meaningful new products under Tim Cook and the shutting down of AI and self-driving car projects as evidence they won't take bold swings.

transcript

Jason Calacanis: The big message that I take away from this, which the markets and retail are telling you is, you guys have stopped innovating. There's a lot of incrementalism. And we as a society aren't benefiting broadly the way that you told us we would be. And so maybe this is the best way for them to get this message, which is to whack their valuation. ... If you look at their track record, and I think this is why we had a change there, is they have not done anything innovative. And in fact, the things they were doing that were innovating in AI or self-driving cars, they shut down. They won't take any swing through the bat. So they are getting penalized in their valuation.

13
Claim

AI safety rhetoric around regulation is a form of regulatory capture that would create a stronger moat around the emerging AI monopoly/duopoly, analogous to how John D. Rockefeller could have used safe oil rhetoric to distract from building Standard Oil's monopoly

Sacks uses a satirical analogy comparing Anthropic's safety-focused branding to a hypothetical 'Safe Oil' rebranding of Standard Oil. He argues that safety regulation debates distract from the concentration of power and would entrench leading companies' positions through regulatory capture.

transcript

David Sacks: Imagine if John D. Rockefeller was way better at public relations. And instead of calling his company Standard Oil, he called it Safe Oil. Okay, let's just play this thought experiment. Clean, beautiful coal. Safe oil. We call it safe oil because as we know, kerosene is dangerous. Their first big product was kerosene. And kerosene can light your house or it can burn it down. And in the wrong hands, it can torch a city or you can use it to make a bomb. So John D, let's say, should have called for the creation of a new government agency to regulate the safety of this product. And they could have done rigorous testing, licensing, common sense regulation. There would have been a very intense debate over safety standards. ... I think people would have gotten so wrapped up in this debate over what constituted safe oil or safe kerosene that they would have missed what was really going on, which is that Rockefeller was building the richest, most powerful monopoly of all time. ... I do think that if you actually look at what a lot of the safetyist policies are calling for, they're basically calling for a form of regulatory capture. And they're calling for things that would create a stronger moat around this monopoly or duopoly.

explains mechanism · 1

14
Context

The 'FDA for AI' idea is a bad analogy and a dangerous path — coordination between industry and government is needed, but a pre-approval regime for AI models would pick winners and losers and undermine America's lead.

Brad explains he spoke with Kevin Hassett who clarified the FDA comparison was just about coordination, not approval. Brad argues an approval regime would be a disaster — putting Washington in the position of picking winners and losers — though better coordination and faster cyber review capacity is needed.

transcript

Brad Gerstner: I talked to Kevin last night after that clip ran. And I asked him, I just said, do you think FDA is the right analog here? And he said, I was only bringing it up to say that we want them to show us the models so that we can coordinate them. Obviously, our job is to make sure that the government is prepared, that we harden our systems, that our intelligence agencies are up to speed. But he does not think, and I can't find anybody on the right, that believes that we're going to move to an approval regime, right? The approval regime, this idea that you're going to have to share every model with an FDA in Washington and they're going to have to pre-approve the model is a disaster. Sachs has been effectively fighting against this correctly over the course of the last year. It would just, it would lead to three bad things. Number one, we do not want to put the Washington in the position of picking winners and losers when it comes to these models. We're winning. We're on the winning horse in America. We're out in front of the rest of the world. There's no reason to change horses and regimes at this point. And we don't want to burden this with more democracy. But at the same time, obviously, I call these pre-AGI or AGI models, Mistral, SPUD, et cetera. I see a lot of coordination going on between the industry and government. I think we can do an even better job of evolving that framework so that everybody in government is on the same page. We need to build more capacity in government to quickly be able to do the cyber review on these models. Right now, it takes too long when the coordination does occur. So we need to have a finite amount of time to get government feedback, et cetera. But the last thing that we want is an FDA of models sitting in Washington.

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15
Claim

An FDA-style pre-approval regime for AI models would be a disaster — it would let Washington pick winners and losers and undermine America's lead in AI.

Brad Gerstner, after speaking with Kevin Hassett, argues the FDA analogy was a poor choice of words and that the administration understands pre-approval would be catastrophic — it would put Washington in the business of picking winners and losers and burden innovation with unnecessary bureaucracy.

transcript

Brad Gerstner: I talked to Kevin last night after that clip ran. And I asked him, I just said, do you think FDA is the right analog here? And he said, I was only bringing it up to say that we want them to show us the models so that we can coordinate them. Obviously, our job is to make sure that the government is prepared, that we harden our systems, that our intelligence agencies are up to speed. But he does not think, and I can't find anybody on the right, that believes that we're going to move to an approval regime, right? The approval regime, this idea that you're going to have to share every model with an FDA in Washington and they're going to have to pre-approve the model is a disaster. ... Number one, we do not want to put the Washington in the position of picking winners and losers when it comes to these models. We're winning. We're on the winning horse in America. We're out in front of the rest of the world. There's no reason to change horses and regimes at this point.

explains mechanism · 1

16
Claim

An FDA-style pre-approval regime for AI models would be a disaster — it would let Washington pick winners and losers, endanger American leadership, and burden innovation; but faster government-industry coordination on cybersecurity review is appropriate

Brad Gerstner reports his conversation with NEC Director Kevin Hassett, clarifying that the White House is not pursuing an FDA-style approval regime despite the analogy. Brad argues pre-approval would lead to Washington picking winners, endangering US leadership, and burdening innovation. He supports faster government coordination on cyber review but firmly opposes pre-approval.

transcript

Brad Gerstner: I talked to Kevin last night after that clip ran and I asked him, I just said, do you think FDA is the right analog here? And he said, I was only bringing it up to say that we want them to show us the models so that we can coordinate them. Obviously, our job is to make sure that the government is prepared, that we harden our systems, that our intelligence agencies are up to speed. But he does not think, and I can't find anybody, on the right, that believes that we're going to move to an approval regime. The approval regime, this idea that you're going to have to share every model with an FDA in Washington and they're going to have to pre-approve the model is a disaster. It would lead to three bad things. Number one, we do not want to put Washington in the position of picking winners and losers when it comes to these models. We're winning. We're on the winning horse in America. We're out in front of the rest of the world. There's no reason to change horses and regimes at this point.

Highlight slides
Unprecedented Revenue Growth Rate✦ from: Anthropic's revenue trajectory is unlike anything Silicon Valley has ever seen — growing 10x per year, from $10B ARR to $30B in Q1 alone, and on track to exit the year at ~$100B ARR.On Track to $100B ARR✦ from: Anthropic's revenue trajectory is unlike anything Silicon Valley has ever seen — growing 10x per year, from $10B ARR to $30B in Q1 alone, and on track to exit the year at ~$100B ARR.AI Lab Revenue Is Supply-Constrained, Not Demand-Driven✦ from: Anthropic and OpenAI revenue growth has nothing to do with demand — it is entirely constrained by data center and power supplyWhat's Needed: More Compute and Power✦ from: Anthropic and OpenAI revenue growth has nothing to do with demand — it is entirely constrained by data center and power supplyAnthropic's Unprecedented Growth Trajectory✦ from: Anthropic's growth trajectory is unprecedented in Silicon Valley history — three years of 10x revenue growth, tripling from $10B to $30B ARR in Q1, accelerating to $44B in April, on pace to exit the year at $100B ARR now that compute constraints are solved.Compute — the only bottleneck — is now solved✦ from: Anthropic's growth trajectory is unprecedented in Silicon Valley history — three years of 10x revenue growth, tripling from $10B to $30B ARR in Q1, accelerating to $44B in April, on pace to exit the year at $100B ARR now that compute constraints are solved.Anthropic's 10x Growth Trajectory✦ from: Anthropic is on an unprecedented growth trajectory — 10x per year — and if sustained for 18 more months, will become the most powerful monopoly in human history with a trillion dollars in ARRPath to a Trillion-Dollar Monopoly✦ from: Anthropic is on an unprecedented growth trajectory — 10x per year — and if sustained for 18 more months, will become the most powerful monopoly in human history with a trillion dollars in ARRThe Most Powerful Monopoly in History✦ from: Anthropic is on an unprecedented growth trajectory — 10x per year — and if sustained for 18 more months, will become the most powerful monopoly in human history with a trillion dollars in ARRAnthropic on Track to Become the Most Powerful Monopoly in History✦ from: Unless its trajectory changes, Anthropic is on track to become the most powerful monopoly ever created in human history — eclipsing the entire Magnificent Seven combined.The Rockefeller Parallel: Safety Rhetoric as Monopoly Cover✦ from: Unless its trajectory changes, Anthropic is on track to become the most powerful monopoly ever created in human history — eclipsing the entire Magnificent Seven combined.
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