Speaker · Updated
Chamath Palihapitiya: latest market views
Social Capital
Summary
Chamath Palihapitiya is a venture capitalist and founder of Social Capital, a prominent early Facebook executive turned investor known for championing SPACs and co-hosting the All-In Podcast.
Chorus has 41 views from Chamath Palihapitiya across 5 episodes on All-In Podcast and CNBC Closing Bell since October 2, 2026. Their latest calls: bullish on Anthropic, OpenAI and NVIDIA.
Where they stand
Their latest bullish or bearish call on each company.
What they talk about most
The latest views
Newest first. Every quote is checked against the episode's transcript.
AnthropicBullish
Anthropic's 85% compute margin and falling compute cost show a strong business.
Chamath calls Anthropic's S-1 one of the most important documents of the cycle and a really solid business. He cites growth of over 1300% year over year in the first half, and an 85% margin on serving compute to users. The cost of compute has fallen from about $6.50 per dollar in 2024 to roughly 50 to 53 cents now. He argues that about 80% of recent revenue came from models, and that stale-model concerns are misplaced. Premium frontier pricing funds the next training run and serving costs, while older models become cheaper and widen the customer base in a Jevons-style effect. He calls the $80 billion loss an accounting headline.
“I mean, we're talking 85%. That's incredible. And the decline over time of the cost of that compute from about, I don't know, $6.50 per dollar to... In '24 to about... I think it's about 50¢ or so”at 15:19
AnthropicBullish
Anthropic can reach $200B revenue, which needs about six gigawatts of compute it already has contracted.
Chamath says his projections see Anthropic reaching $200 billion, which by his estimates requires about six gigawatts of compute. The company has not disclosed its current compute, but the S-1 shows capacity under contract that could exceed six gigawatts, which he calls a positive. He cites a BofA study that puts a megawatt at about $57 million, which gives a sense of compute costs. He says the contracted compute must still be monitored, since some of it will not be deployed until data-center shells are built.
“we see the ability for Anthropic to get to $200,000,000,000. And by our estimates, that's gonna require about six gigawatts of compute.”at 18:39
OpenAIBullish
OpenAI will do well, but its consumer compute costs are an albatross; ads look promising.
Chamath calls OpenAI and Anthropic extraordinary companies that will both do well and matter for the next decade. He credits OpenAI's push into enterprise and says ChatGPT built the brand that made AI synonymous with GPT. He says OpenAI carries an albatross in the cost of serving compute to consumers. He thinks its advertising model looks extremely promising as the best way to monetize that, but it still needs to play out.
“They have done a good job, Sam, Sarah, and team into pushing into the enterprise... That said, they do have a little bit of an albatross with the cost to carry that compute for the consumers.”at 21:55
AI spending is circular: about 1% of companies drive 90% of token spend, mostly unprofitable VC-backed startups.
Chamath's back-of-envelope math, which he says a Ramp researcher partly confirmed, is that about 1% of companies represent about 90% of AI token spending, and about 80% of that comes from unprofitable VC-backed companies. The cycle he describes is that VCs raise from LPs, startups spend on consuming AI models to grow, show revenue traction, and raise again from the same VCs. He argues AI cannot be a predictable long-term earnings driver until it diffuses out of the startup ecosystem. He contrasts this with AWS, which was exposed from Amazon retail, a roughly free-cash-flow-breakeven business, whereas today money-losing entities are spinning money among themselves. He calls the structure a real problem with breathtaking valuations.
“Yeah. So what I said was 1% of companies represent 90% of AI spending, so that's tokens. And of that 90%, 80% of them are from unprofitable VC backed companies.”at 2:28
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
Top AI spenders are shifting from closed frontier-lab APIs toward buying GPUs to run open-source models.
Chamath walks through a Ramp histogram of how the top 1% of AI spenders allocate money. The rose-colored box is LLM traffic bought from big closed frontier labs, through channels such as Bedrock on AWS. The blue box, GPU compute spending, is rising because buyers are purchasing their own GPUs as they move to open source. He sees a two-pronged dynamic: diffusion of AI across the economy is slower than people would like, while spend is shifting toward open-source models run on owned hardware.
“What's really interesting is that the blue box is ticking up. The blue box is people buying their own GPUs because they're moving to open source.”at 5:28
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
AI infrastructure & data centers
Large enterprises are cutting hyperscaler spend and building their own data centers or private cloud VPCs.
Chamath says buying patterns changed after Alex Karp's CNBC comments on data sovereignty, and that large companies are becoming more methodical. They are building their own data centers or moving into VPCs. At a CIO event for one of the largest US banks, the bank said it had decreased AWS and GCP spend and now had six independent data centers built from scratch. He takes this as evidence that AI has a diffusion problem, with enterprise adoption slower than expected.
“They said, we have decreased our spend on AWS and GCP. We now have six completely independent ground up data centers that we've built from scratch for ourselves.”at 6:26
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
Liability for rogue AI agents will be pushed onto users, as the only way the agent model scales.
Chamath argues that practically, the user will bear responsibility for agent actions. In a lawsuit, each party's incentive is to point at another: Bank of America points to the agent provider, which points to the user. He says this is the only way the model keeps scaling. He notes the possibility of prompt injection or an agent going rogue as examples, but says the user remains responsible in practice.
“I do As assume a practical matter, it's the only scalable solution because what will happen when these lawsuits happen is everybody's incentive, everybody meaning the corporate incentive.”at 31:46
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
Unconstrained, 'obliterated' AI models are an underappreciated and scary risk vector, more than alignment.
Chamath says that models without guardrails are a long-tail risk that few people understand. He calls the risk unbelievably underappreciated and believes it matters more than alignment, which people should spend more time thinking about. His reasoning is that such models are a vector of harm, though he offers limited detail beyond that.
“I find obliteration unbelievably scary. That is a vector of risk that is so unbelievably underappreciated right now.”at 33:16
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
Legacy software drift and sunk-cost technical debt make enterprise systems hard to secure.
When customers run software in their own private cloud, vendors end up maintaining many out-of-sync versions, with each customer upgrading on its own cadence, so vendors can be maintaining 19 versions at once. Technology changes rapidly, but existing deployments are sunk costs that cannot be replaced. He multiplies this across millions of companies and hundreds of trillions of lines of code. Nikesh adds that CIOs are incentivised to keep costs low and systems up, so upgrades feel risky, which leaves known vulnerabilities in place.
“If you actually deploy it inside of your own virtual private cloud, the problem is the software vendors don't have this one version that's constantly updated.”at 36:28
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
Bond vigilantes could make French debt unfinanceable, forcing an economic reset in France.
France is a critical country that will set the tone for Continental Europe in how it finances long-term debt. It has already proposed about €50bn of austerity, and that will have to go up, which leaves the government in a no-win position. He expects the government to lose the upcoming presidential election and a complicated reset of the bureaucracy and economy to follow. The market lever is bond vigilantes: if they push long rates high enough, France cannot finance its debt, which triggers an economic reset and a grand bargain. He expects whoever holds power after the reset to use it to entrench themselves.
“The bond vigilantes can break the back of the French government and they can do that economically and they can do that by essentially making their debt unfinanceable.”at 1:06:41
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
France's overspending state needs a bond-market shock, with yields pushed toward 8%, to force reform.
Chamath argues France's government is confiscatory: it takes about 56% top tax rates and collects 46% of GDP as tax revenue, yet outcomes such as hospital wait times and classroom sizes are poor. He concludes the government will not reform on its own, so bond vigilantes must force it, by pushing French borrowing costs toward 8% to break the state and put austerity and immigration on the table.
“I think you need to take France to, like, 8% and just break them. Yeah. And then all of a sudden, austerity measures, immigration, all this stuff's gonna be taken a lot seriously.”at 1:25:00
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
AI infrastructure & data centers
The AI build-out drives a disproportionate share of US GDP and the US economy is tied to it.
Chamath argues the AI build-out is a disproportionate share of GDP growth, not just stock gains for seven companies. Data shows it also lifts wages for middle-class and skilled workers. He concludes the US economy is entirely levered to and correlated with the AI trade, so policy that lands the AI build-out, such as behind-the-meter power and local investment, is what keeps the economy on track.
“the AI build out is the disproportionate percentage of all GDP. It is basically all of it. And it doesn't just pull through stock performance for seven companies.”at 1:33:38
All-In Podcast: AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France? ·
CoreWeaveUncertain
CoreWeave's debt costs are rising toward breakeven; the default-insurance market implies a coin-flip default risk.
CoreWeave's project 'boxes' are funded with borrowed money at an average rate of about 8.5%. The risk-free rate has risen, and the market has repriced the bonds. CDS spiked to about 953 basis points, which implies roughly a 16% annual default chance and about 55% over five years. A 15% GPU loan tranche (DDTL 1.0) could beat the rate on future debt. Chamath's team estimates CoreWeave is about $5B from breakeven, and 75% of revenue comes from three customers. He says the company is not in real risk, but the outcome depends on whether it can refinance about $35B of debt over the next month, so he calls it a coin flip.
“I think the market is saying that if they are able to finance this stuff at a reasonable rate and the life of the GPUs that they buy from Jensen are longer than what they think, they're gonna be okay. But if the financing goes up...”at 11:46
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
OpenAI and Anthropic threaten SaaS workflows and opaque incumbents like healthcare businesses.
Chamath argues that the threat from OpenAI and Anthropic is broad. A healthcare company that has thrived on the opacity of health infrastructure is exposed to them. So is a company that owns workflows rented to customers as SaaS. He suggests investors can use this as a defensive hedge. He treats AI labs as the main threat to incumbents whose moats rely on complexity or software-based workflows.
“If you own a bunch of workflows that have been rented to people as SaaS, theoretically, OpenAI and Ant are a threat to that.”at 28:40
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
A 10-year yield near 6% would crush any business that relies on financing spreads over the risk-free rate.
Chamath argues that rising Treasury yields drive borrowing costs for everyone, and that this has nothing to do with AI and everything to do with debt-to-GDP in Western economies. If the bond market pushes the 10-year to 5.5-6%, any business model built on a financing spread gets hit, whatever it claims to do. He calls this the Achilles heel of the neocloud model. He says the risk is that the Treasury curve keeps rising, not any single company's operations.
“If the bond market walks the tenure up to five and a half and 6%, which has nothing to do with AI... Any business model that thrives on a financing spread gets cornholed.”at 29:09
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
Large new spending programs would push the bond market's yields higher; deficit discipline is needed to keep the market calm.
Chamath argues that the post-midterm political priority should be deficits. If Washington proposes huge spending programs, the bond market will push the 10-year yield higher, and that cascades through everything, including AI financing. If instead the government signals calm, tones down spending, and cuts waste, he expects the market to respond favorably. He presents this as the variable that will decide how the financing-dependent businesses fare.
“You have to really start to focus on deficits, and you have to find a fair trade where the bond market backs off... if we start proposing huge spending programs, they're gonna walk the tenure up.”at 29:43
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
US electricity deficit makes power the ultimate AI moat; hyperscalers will not supply startups.
Chamath argues the US is already behind and in a massive energy deficit, which he puts at about 1.4 (terawatt-hour, as stated) short by 2050, even if planned builds finish on time and budget. Load growth from AI would make it worse. As a result, hyperscalers can no longer be counted on to supply power for new AI products, and startups will be turned away for lack of capacity. He argues the best moat is owning the land, power and shell, because power is such a constrained asset.
“I'll give you the ultimate moat. I think power will be the moat. I think that you can build the most fantastical things in the world and you're gonna see people on the dry docks basically trying to hitchhike to get power.”at 38:19
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
CoreWeaveUncertain
CoreWeave's fixed five-year contracts carry coin-flip risk; it should cancel or move capacity to spot.
Chamath says the spread between CoreWeave's fixed contracts and spot is roughly $20-30B and that the company has built only about half its contracted capacity (two of four gigawatts). He says it is within about plus or minus $5B of violating a debt covenant, so it should pay a penalty to exit contracts and sell at spot. He flags liquidated damages and rising data center complexity (hotter chips, more power), noting some neoclouds lost investment-grade ratings. He thinks shorts buying credit default swaps are usually wrong, but a five-year window that is a coin flip on expected value needs very precise management.
“I think the [shorts] may be wrong, and they usually are wrong when they're buying these credit defaults. But, you know, when your expected value is a coin flip in a five year window, that's like scary town, think. That needs to get managed very precisely.”at 43:00
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
NVIDIABullish
Nvidia controls most advanced packaging and HBM capacity, leaving it in complete control of the AI supply chain.
Chamath says the AI pipeline is capacity constrained at every layer. One layer past Nvidia's chips, advanced packaging and most HBM memory are controlled by Nvidia, and even Google has to secure memory elsewhere because Nvidia has clogged supply. He concludes Nvidia has done an incredible job and is in complete control of the supply chain.
“NVIDIA has done an incredible job. Okay? Because if you look one layer beyond NVIDIA, all the packaging capacity is them. All the HBM capacity is mostly them. ...they are in complete ball control here.”at 44:53
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
AnthropicBullish
Anthropic's $16.8B quarterly revenue at three years old is breathtaking; its products are exceptional.
Chamath says he is not negative on Anthropic. He calls its reported $16.8B quarterly revenue for a three-year-old company ridiculous and unlike anything he has seen. He praises the product quality and says the company is doing the hard work. He adds that OpenAI is also cutting prices to lower open-source risk, though cannibalization on the token side still has to happen.
“No. My comments are not because I'm negative on the company. I found the revenue breathtaking. I mean, it's incredible. Like, 16,800,000,000 in a quarter for a three year old company is just ridiculous.”at 53:57
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
AI pricing will shift from per-token to outcome-based, as Google's CPC shift made online ads explode.
Chamath argues AI is like the internet in 1999-2000 when media was sold on CPM. Right now AI is sold on cost per million input tokens, but it will move to CPC and CPA, as AdWords and AdSense did for Google. Buying outcomes rather than impressions made online advertising explode, and he expects the same once AI moves from tokens to outcomes, though token-side cannibalization still has to happen first.
“We're effectively like in 1999 and 2000 in the Internet media world where everybody just works on CPM. ... We will move to CPC and CPA.”at 54:33
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
AnthropicBearish
Anthropic should raise $200-250B near a $1T valuation; a $2T IPO risks a correction.
Chamath estimates Anthropic needs at least $200B of compute financing, and $250B for safety, to get through a three-to-five-year window and reach five to 10 gigawatts. He says the $2T target is too high: raising $80B at $1.7-1.9T is easy, but $100B is a stretch and $150B at $1.5T is not enough. He argues it is better to raise $200-250B now than to ring the bell at $2T, file a mixed shelf that takes about six months, and face more risk later. He says the raise amount should be worked back from compute needs.
“But I would like a 250,000,000,000 if I was the Anthropic shareholder, which means I don't think you can raise a 250,000,000,000 at 2,000,000,000,000. I think you can raise a 250,000,000,000 at a trillion.”at 56:49
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
AI infrastructure & data centers
Elon's cancelable spot-linked compute deal shows spot prices are rising; contracted capacity is stronger.
Chamath reads Musk's compute deal with Anthropic, which either side can cancel within 60 to 90 days, as a sign that spot compute prices are going up, not down. He says Musk is sensibly selling at spot because he can walk away, while Anthropic, which thinks it can exit in 90 days, is wrong. Anthropic should have taken a multi-year contract like CoreWeave's, because contracted capacity is the stronger position as spot rises.
“He's doing spot because he's like, I may cancel on you. And Anthropic's probably thinking, oh, this is great. I can walk away ninety days. Wrong, buddy. It's the opposite.”at 59:20
All-In Podcast: CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer ·
Set aside consciousness and extinction debates for 12-18 months and prove AI's practical value instead.
Chamath argues the edge-case risks, AI consciousness and a claimed 10% chance of civilizational extinction, should be put away for the next 12 to 18 months. In that window the industry should show practical proof points such as curing cancer, improving lives, and raising productivity and income. Without these proof points, self-inflicted wounds from the safety debate could slow the technology enough to disadvantage the US, which operates in a free market.
“I think both of those edge cases now need to be put away for, like, the next twelve to eighteen months. Right now, the next twelve to eighteen months, just to be very practical, is we need to show how this stuff cures cancer”at 11:36
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
Alignment mixes three conflicting goals; encoding morality in a model document will cause chaos and a 'trapdoor'.
Chamath separates alignment into three distinct problems: making AI obedient to users, making it safe for society, and making it conform to a particular morality. The real danger is the third, the 'trapdoor'. Trying to solve all three through an elaborate document describing what the model believes, values and can refuse will produce a chaotic mess of corner cases, such as a bank model that stops approving mortgages until a perceived injustice is fixed. He expects the market to respond by favoring models with simpler moral guidelines, even if they are less capable at the frontier, because businesses and users do not want to run into those trapdoors.
“The problem is alignment has these three almost conflicting sets of priorities... these three are very distinct and diverse problems.”at 27:45
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
OpenAINeutral
OpenAI's proofs don't solve major open physics problems; code and math are now verifiable domains.
Chamath argues the proofs are novel and important but not breakthroughs on problems the field was waiting to see solved. He says they were narrow, self-referential areas of intellectual exploration. He thinks a cure for cancer or a supersonic plane would not come from these proofs and would be built regardless. He says the real lesson is that code and math are now truly verifiable and falsifiable, and that computational horsepower got there by recursively improving. He reports that ChatGPT itself said the proofs are better evidence of sophisticated reasoning than of imminent welfare breakthroughs.
“These were not boundaries of physics that we were all standing on the sidelines waiting for progress and wondering when these would be solved. This is not the class of stuff that was solved.”at 47:31
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
France and Western Europe are structurally broken on growth, education and housing; bond markets are now rejecting them.
Chamath argues Western Europe, especially France, is the most structurally broken on growth, education and housing, far behind the US. Bond markets are pushing long yields up because they see the country as risky. This forces austerity (he cites about 43 billion euros), which triggers unrest in France. He expects the same pressure to spread to the UK.
“Everything that United States can claim isn't working is working far better than they are in France, in The UK, etcetera. So what you're seeing in France is essentially the bond market saying no.”at 1:13:54
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
Andy Burnham's UK platform moves Britain toward Europe's socialist model, likely sparking a harsher UK market reaction.
Chamath says Burnham's platform is more aggressive than France's: it would take the UK from a centrist economy closely aligned with America toward Europe. The UK would then need even more extreme measures to catch up to France's socialist leanings. He predicts the UK market is going to 'go crazy' as a result, and sees the trend as fragmenting the Western alliance.
“Andy Burnham's platform is, I would say, even more aggressive because Andy Burnham is saying we're gonna go from a moderate centrist economy that has largely and historically been very aligned with America, and we're actually gonna take a step closer to Europe.”at 1:14:35
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
The US market will keep ticking up as European fragility and Western alliance fractures push capital toward America.
Chamath argues that French austerity protests, a UK political shift and possible fracturing of the EU weaken the Western alliance. The UK market is likely to suffer while the US market 'is gonna tick up and up'. Investors are seen as shifting toward American assets as European fragility grows.
“Meanwhile, The US market is gonna tick up and up because what you're seeing is essentially a fragility in the Western alliance.”at 1:15:02
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
Debt-to-GDP does not matter in absolute terms; relative yields and risk-parity positioning drive sovereign bond risk.
Chamath argues debt-to-GDP ratios do not matter on an absolute basis, because the relevant question is relative. He says what matters is where a country sits in risk parity, and that Japan is different because domestic savers act as buyer of last resort. Western markets lack this, so if France's austerity pushes its 10-year yields to 5.5-6%, that becomes the reference point.
“Always stated that debt to GDP doesn't matter because it's a relative gain. I tend to still think that on an absolute basis, debt to GDP does not matter.”at 1:16:50
All-In Podcast: Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots ·
11 older views from Chamath Palihapitiya are on the episode pages, and all of them are a question away in your AI with Chorus.
Shows
- All-In Podcast · 4 episodes
- CNBC Closing Bell · 1 episode
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