Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

Claims checked against evidence by Ed Zitron, page 3 of 13

Deadlines are judged as of 2026-10-29. About Ed Zitron and the sources covered.

Claims checked against evidence by Ed Zitron (1230)

Each of these claims was checked against dated evidence.

Page 3 of 13: claims 201 to 300 of 1230, ordered by the date first said, newest first. To find a claim by its words, use search.

  1. Assessment: UnresolvedSaid

    “OpenAI runs out of money at some point.”

  2. Assessment: UnresolvedSaid

    “The one that has raised no more than $12 billion of funding from sources outside of NVIDIA, SoftBank, Microsoft or Amazon.”

  3. Assessment: UnresolvedSaid

    “The point I’m making is that raising further rounds — before we get to any niggling problems about valuation — has already become near-impossible to do without the help of massive entities that are showing increasing signs of strain at exactly the moment OpenAI needs more money.”

  4. Assessment: UnresolvedSaid

    “And at some point, OpenAI will simply not be able to pay its bills, or more precisely, it will have to hand over money to somebody who will not accept equity or IOUs in return.”

  5. Assessment: UnresolvedSaid

    “Then, at some point, the money will stop flowing to somebody.”

  6. Assessment: UnresolvedSaid

    “While buying GPUs didn’t really help revenues until OpenAI and Anthropic became big enough to start feeding hyperscaler and venture capital cash into Microsoft, Google, and Amazon’s mouths, buying GPUs became a dick-measuring contest that pumped stock values, all as Wall Street assumed every dollar of revenues came from AI.”

  7. Assessment: UnresolvedSaid

    “I’m gonna say it with my full chest: anyone who said that “AI was paying off” for Microsoft, Google, Amazon, or Meta was wrong. Everybody who said the capex was well-spent was wrong.”

  8. Assessment: UnresolvedSaid

    “No matter how big, handsome, and amazing you think either of these companies are, their expected compute spend will require them to make as much revenue as Microsoft, Google and Amazon in the next four years, and if they don’t, hyperscalers will not meet analyst and investor expectations.”

  9. Assessment: UnresolvedSaid

    “In the end, it’s pretty simple: Microsoft, Google and Amazon’s hypergrowth era ends if Anthropic and OpenAI can’t spend hundreds of billions of dollars on compute, and companies like Oracle, CoreWeave, Nebius, and IREN face apocalyptic circumstances when they fail to do so.”

  10. Assessment: UnresolvedSaid

    “Amazon and Google are doing equally poorly, which is why nobody wants to talk about their actual AI revenues.”

  11. Assessment: UnresolvedSaid

    “The only way all that compute gets used is if either A) Anthropic and OpenAI rent all of it or B) massive (and I’m talking multiple $10 billion-a-year customers) appear virtually overnight.”

  12. Assessment: UnresolvedSaid

    “Based on the amount under construction, we need — even with OpenAI and Anthropic — hundreds of billions of dollars’ worth of demand in the next few years just to monetize the data center capacity under construction.”

  13. Assessment: UnresolvedSaid

    “NVIDIA’s future is entirely dependent on these companies’ abilities to convince the credit markets that everything will go fine, and its circular financing operations are both sustained and continue to expand.”

  14. Assessment: UnresolvedSaid

    “Hyperscalers were rewarded with stock pumps and pay bumps for an “AI revolution” that mostly amounted to spending hundreds of billions of dollars on GPUs to make tens of billions of dollars in revenue”

  15. Assessment: ContradictedSaid

    “Sidenote: before we go any further, I need to be clear that AI is not the reason that these companies are growing, outside of the compute spend from Anthropic and OpenAI.”

    What happened: Google attributes growth to its own enterprise AI platform and identifies enterprise customers in the surrounding passage. This is a specific growth channel beyond compute purchases by OpenAI and Anthropic. (Google, )

  16. Assessment: UnresolvedSaid

    “And every VC invested in AI needs a miracle, because there are few signs that these companies can be sold to anyone or taken public.”

  17. Assessment: UnresolvedSaid

    “Well, they did, and there wasn’t. You can fart around all you want about the theoretical or imaginary promises of AI or AGI or whatever, but this didn’t work.”

  18. Assessment: UnresolvedSaid

    “There are only two companies that actually spend more than a few hundred million a year on AI compute — OpenAI and Anthropic — and both of them will lose tens of billions of dollars this year and more next year.”

  19. Assessment: UnresolvedSaid

    “Outside of hedge fund and investor Jane Street and NVIDIA, neoclouds do not have significant customers at the level that would warrant all this capex.”

  20. Assessment: UnresolvedSaid

    “And let’s be clear about something: the future growth trajectories of Amazon, Google and Microsoft (not to mention Oracle, CoreWeave, and every other neocloud) are contingent on the continued ability for Anthropic and OpenAI to raise and have the demand necessary to spend that money.”

  21. Assessment: SupportedSaid

    “That’s right folks. There is no deal! It’s an MOU! It’s fucking theoretical!”

    What happened: The announcement identifies signed MOUs targeting over $500 billion of third-party capital and expressly makes the partnerships subject to final agreements. This supports the ordinary reading that the financing arrangement was preliminary. (Apollo Global Management, publishing the joint announcement, )

  22. Assessment: UnresolvedSaid

    “Even with every hyperscaler buying more and more GPUs every quarter, it will have to triple revenue in the next three years to keep up, at a time when hyperscaler cashflows are deteriorating (and negative in the case of Google and Amazon), making further capex contingent on debt, as AI revenues are not covering their costs.”

  23. Assessment: ContradictedSaid

    “The demand for AI compute does not exist at scale outside of Anthropic and OpenAI, and it is not emerging anywhere that I can see.”

    What happened: The announcement identifies an approximately $6 billion AI cloud commitment by Jane Street, separate from its $1 billion equity investment. This is substantial emerging customer demand outside OpenAI and Anthropic, although it is not realized compute revenue. (CoreWeave and Jane Street, )

  24. Assessment: UnresolvedSaid

    “Sidenote: None of this even discusses Oracle, which is completely dead if it doesn’t either drastically pull back on or entirely cancel its capex, as I wrote back in January, April, and July.”

  25. Assessment: UnresolvedSaid

    “And then there’s the problem that for the 190GW of capacity in planning, we need somewhere between $1.62 trillion and $2.92 trillion in annual compute spend for an industry that, in the best-case scenario, has roughly $110 billion in annual demand, with 90%+ of that coming from two companies that can only spend that money if they’re fed it by venture capitalists.”

  26. Assessment: UnresolvedSaid

    “As I discussed in yesterday's free newsletter, analyst estimates have OpenAI and Anthropic making up over 70% of all AI revenues across Microsoft, Google and Amazon.”

  27. Assessment: UnresolvedSaid

    “Microsoft has spent $261.3 billion in capital expenditures since the beginning of 2022.”

  28. Assessment: SupportedSaid

    “The other incredible fact from these disclosures is that OpenAI's spend and revenue share accounted for 7% of Microsoft's $331.8 billion in FY26 revenue - or around 7.26% to be specific.”

    What happened: The surrounding note reports $24.1 billion of FY26 commercial revenue from OpenAI, including revenue sharing; the income statement reports $331.839 billion of total revenue. Their ratio is 7.262558%, which rounds to 7.26%, while total revenue rounds to $331.8 billion. (Microsoft, )

  29. Assessment: UnresolvedSaid

    “At the end of this hype cycle, Microsoft, Google and Amazon (and, I guess, Meta) will have left themselves in a much-worse condition than before, with revenue expectations that are overwhelmingly inflated by two unsustainable companies.”

  30. Assessment: UnresolvedSaid

    “There is not enough demand. We are overbuilding data centers.”

  31. Assessment: UnresolvedSaid

    “This is a doomed mission.”

  32. Assessment: UnresolvedSaid

    “If they fail to build more and more data centers and continue to sink money into Anthropic and OpenAI, growth will slow across both their cloud platforms and associated services, as the two AI labs are the only real aggressive purchasers of AI compute, which makes up the vast majority of hyperscaler AI revenues.”

  33. Assessment: UnresolvedSaid

    “If capacity doesn’t come on fast enough, OpenAI and Anthropic can’t pay for it.”

  34. Assessment: UnresolvedSaid

    “One day, one or both of Anthropic and OpenAI die, which leads to half or more of the demand for AI compute and actual industry production evaporating, and any further ability for Google, Amazon and Microsoft to further feed themselves money.”

  35. Assessment: UnresolvedSaid

    “Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year.”

  36. Assessment: UnresolvedSaid

    “I’d also argue that the vast majority of their capex exists to support these two load-bearing failsons.”

  37. Assessment: UnresolvedSaid

    “Put another way, AI bets cannot “pay off” if hyperscalers continue to funnel three or more times their AI revenues every single year into capital expenditures.”

  38. Assessment: UnresolvedSaid

    “Though some might challenge me about the scale of the problem, there are hundreds of billions of dollars’ worth of AI data center loans, and I believe the vast majority of them will go unpaid. This will hit bank balance sheets and private credit funds to indeterminate levels.”

  39. Assessment: UnresolvedSaid

    “I realize I’m being a little repetitive, but I need you to see that without OpenAI and Anthropic, Microsoft, Google, and Amazon’s AI revenues are absolutely pathetic, and are thus entirely-dependent on their compute spend.”

  40. Assessment: UnresolvedSaid

    “While many people believe — largely because the big three refuse to break out their actual AI revenues or disclose their customer concentration — that they have AI revenues coming from a diverse set of different customers, the reality is that their largest cloud customers, let alone AI customers, are two companies that can literally not afford to pay them without a near-infinite flow of venture capital or debt.”

  41. Assessment: UnresolvedSaid

    “Let’s also be blunt about something: neither OpenAI nor Anthropic have worked out their business models.”

  42. Assessment: UnresolvedSaid

    “Hyperscalers will have sunk over $1.3 trillion dollars into generative AI by the end of 2026”

  43. Assessment: UnresolvedSaid

    “hyperscalers have borrowed a bunch of money to fund AI, to the point that it’s pushing them into cash-flow negative territory, and every time they raise more money, bondholders become more worried about them paying it back, especially given that both Amazon and Google have now gone cash-flow negative as of their latest quarters.”

  44. Assessment: UnresolvedSaid

    “LLMs are economically and practically unsuited to the tasks they’ve promised to solve, and no amount of extra capital expenditures or venture capital dollars will magically fix that.”

  45. Assessment: UnresolvedSaid

    “Every AI startup is unprofitable”

  46. Assessment: UnresolvedSaid

    “This is a problem, as all four are certain to become repeat visitors to the bond markets.”

  47. Assessment: UnresolvedSaid

    “This naturally creates a vicious cycle. The more AI servers that hyperscalers buy, the more demand they create for RAM and high-bandwidth memory, which increases the price of RAM and HBM, which makes the AI servers more expensive, which means hyperscalers need more money, and because AI has yet to provide meaningful improvements in revenue or cashflow, they’re forced to raise more debt.”

  48. Assessment: UnresolvedSaid

    “The problem is that the longer this goes on, the more expensive it gets, and the more extreme the payoff has to be.”

  49. Assessment: ContradictedSaid

    “Outside of coding, AI really has no fundamental use cases beyond being slightly better at interpreting search queries, brainstorming, and searching documents.”

    What happened: The randomized implementation study involved 66 practitioners and found reduced documentation time when ambient AI drafted visit notes. The study completion date is verified by e2; generating clinical records from conversations is a practical application outside the listed exceptions. (NEJM AI; abstract hosted by the National Library of Medicine, )

  50. Assessment: UnresolvedSaid

    “Data center operators have yet to show substantive proof of a sustainable business model renting out GPUs, let alone profits that would justify taking on billions in debt, and the payoff date seems to exist somewhere between “fuck knows” and “never.””

  51. Assessment: UnresolvedSaid

    “Oracle is burning its company to the ground to build data centers for OpenAI in pursuit of a $300 billion, five-year-long compute deal that was meant to begin in June 2026 and currently has 5.6% of the 7.1GW of capacity it needs to make that revenue”

  52. Assessment: UnresolvedSaid

    “Even if the data center has broken ground (which I don’t believe it has), it’ll be extremely difficult to meet that timeline, and at a rate of 800MW every two years, it’ll be more than a decade before it opens.”

  53. Assessment: UnresolvedSaid

    “Even if margins were to remain stable and both AI labs stay alive for the next five years, the revenue growth would still be overshadowed by capital expenditures that represent 100%, 118% and 181% of cloud revenues as of their last quarters.”

  54. Assessment: UnresolvedSaid

    “Hyperscalers will have sunk over $1.3 trillion dollars into generative AI by the end of 2026, and have plans to spend a trillion dollars more next year.”

  55. Assessment: UnresolvedSaid

    “In other words, Musk's "investment-grade" bonds are trading like junk!”

  56. Assessment: UnresolvedSaid

    “Sidenote: Furthermore, any demand for compute that exists currently is inflated by the effective subsidization of paying subscribers to ChatGPT and Claude, who can burn tens of thousands of dollars worth of tokens while only paying $200-a-month.”

  57. Assessment: ContradictedSaid

    “Per my own analysis, NVIDIA’s predicted $1 trillion in Blackwell and Vera Rubin GPU sales (by the end of 2027) represents around 40GW of data center capacity, which will, assuming a PUE of 1.35, result in around 30GW of usable capacity. At a cost of around $12 million a megawatt, that works out to around $435 billion in global annual compute revenue to make these data centers necessary.”

    What happened: The following paragraph supplies 40 GW, PUE 1.35 and $12 million per MW. Independently multiplying these stated operands gives $355.56 billion annually; using the rounded 30 GW gives $360 billion. (Where's Your Ed At, )

  58. Assessment: UnresolvedSaid

    “This is an inevitability — and something that’s very obvious when you sit down and actually try and work out how much capacity there is versus how much people are actually paying for AI compute.”

  59. Assessment: SupportedSaid

    “The problem with these SPV-based deals is that they allow companies to, at least on a balance sheet basis, hide the scale of their debts.”

    What happened: The same paragraph expressly concludes that Meta is not the venture's primary beneficiary and does not consolidate it; the quoted sentence describes its continuing involvement. The following paragraph discloses its equity investment and maximum exposure, supporting balance-sheet exclusion without establishing concealment from the notes. (Meta Platforms, )

  60. Assessment: UnresolvedSaid

    “For me to be wrong, there will have to be dramatic amounts of AI compute demand — hundreds of billions’ worth — within the next 3 years, at a time when there’s little more than $120 billion, with 80% or more of that coming from two companies that can only afford it because they have near-infinite sums of venture capital behind them.”

  61. Assessment: UnresolvedSaid

    “I need everybody to realize that the overbuild has real consequences, and that there’s no post-bubble economy to replace this one, because it’ll be just as expensive to run these things in 2030 as it is today.”

  62. Assessment: UnresolvedSaid

    “If the market continues to sour on AI data center debt, it will eventually become difficult to impossible for hyperscalers to keep issuing bonds, leaving them with only equity sales (like Google’s $85bn stock sale) that are equal parts limited and desperate.”

  63. Assessment: UnresolvedSaid

    “It’s easy to dismiss this entirely as “rich people problems,” but AI data centers are increasingly funded — both directly and through private credit — using pension and insurance funds that rely on these (theoretical) payments for future yield to pay out premiums.”

  64. Assessment: UnresolvedSaid

    “Every time that the media has accepted a spurious announcement or a questionable run rate or a circular deal or the outright refusal of hyperscalers to disclose their AI revenues, they help inflate the AI bubble and endanger the futures of millions of people, especially those tied up in a stock market increasingly-dominated by NVIDIA and other tech stocks.”

  65. Assessment: UnresolvedSaid

    “If we assume — and I’m being nice! — that there’s $120 billion in annual compute demand, and take into account that tens of billions of dollars’ worth of data centers have been announced since, this means that there’s over 15 times more data centers being planned than the demand that actually exists, and 70% to 90% of that demand is from Anthropic and OpenAI’s unprofitable services.”

  66. Assessment: UnresolvedSaid

    “Putting aside whether data centers are profitable or not (they aren’t),”

  67. Assessment: UnresolvedSaid

    “OpenAI, Anthropic, Microsoft, Google, and Amazon have done everything in their power — based on discussions with sources familiar with their infrastructure — to obfuscate the actual underlying costs of their operations”

  68. Assessment: UnresolvedSaid

    “These attempts — price increases, price cuts, selling off IP, nebulous circular deals, and so on — will all fail, and by the end, Sam Altman will have run through every single trick imaginable to keep the party going.”

  69. Assessment: UnresolvedSaid

    “OpenAI also, as I’ve mentioned, needs to keep growing to keep up with those bills, and at some point will run out of real dollars to pay people, likely at exactly the time that it’s hardest to find more of them.”

  70. Assessment: ContradictedSaid

    “all based on the outcomes from Large Language Models that simply do not do what their progenitors have promised and do not produce ROI or productivity benefits that are in any way measurable.”

    What happened: The study reports higher pull-request output per developer in April 2026 and a preferred estimate of 1.46 times output associated with adoption and accumulated use, after calendar-month controls. Checks address extra working days and splitting work, but nonrandom adoption, review burdens and incomplete quality measures limit causal certainty and prevent treating the result as financial ROI. (arXiv; Hao He and colleagues, )

  71. Assessment: UnresolvedSaid

    “It intends to spend $50 billion or more on compute this year, which I estimate is more than 50% of all global AI compute spend (with OpenAI taking up 50%+ of all AI compute infrastructure).”

  72. Assessment: UnresolvedSaid

    “Hyperscalers are now joining the rest of the world in having to raise debt to buy more GPUs, which means that at some point they aren’t going to be able to afford to buy as much, which will in turn mean that NVIDIA — which accounts for around 65% of all HBM purchasing — won’t need as much.”

  73. Assessment: UnresolvedSaid

    “At some point, OpenAI will simply run out of money.”

  74. Assessment: UnresolvedSaid

    “And I continue to stand by my belief that this company will die, though I can’t say when it’ll happen.”

  75. Assessment: UnresolvedSaid

    “Then there’s the fact that Apple is suing OpenAI after poaching multiple engineers for its hardware efforts and allegedly both coaching and coercing them into stealing trade secrets, which is all but certain to destroy any chance of OpenAI releasing a device in the next few years…and potentially the company itself.”

  76. Assessment: UnresolvedSaid

    “OpenAI has never faced a problem like “not being able to pay its bills” or “breaching a contract with a major company,” and I think these are an inevitability in its future.”

  77. Assessment: UnresolvedSaid

    “No, Anthropic can’t afford it either”

  78. Assessment: UnresolvedSaid

    “which is why you have noted venture capitalists claiming that AI labs have “90%+ inference margins,” a completely unproven statement that AI boosters cling to and repeat often enough that it’s taken as gospel”

  79. Assessment: UnresolvedSaid

    “Based on my own reporting on its audited financials from 2024 and 2025, OpenAI will need to raise funding at least three more times in the next decade.”

  80. Assessment: ContradictedSaid

    “The AI bubble isn’t a result of any actual return on investment — whether that be in purely monetary terms, like revenue or profitability , productivity gains, or anything tangible or measurable.”

    What happened: The preceding passage describes increasing benefits to engagement and advertisers. Zuckerberg explicitly identifies those experienced benefits as encouraging continued heavy investment. (Meta Platforms, )

  81. Assessment: UnresolvedSaid

    “Giving $42 billion to OpenAI or Anthropic will not fix their business models, nor will it magic up the $400 billion or more in annual revenue to substantiate just NVIDIA’s AI GPU sales through the end of 2027.”

  82. Assessment: UnresolvedSaid

    “These are not going to be useful for hobbyists, nor will they be cheaper to run, nor will incomplete data centers be cheaper to finish.”

  83. Assessment: UnresolvedSaid

    “As I covered in this week’s Hater’s Guide, SoftBank has wagered effectively its entire future on $40 billion or more in short-term loans to fund Sam Altman’s No IT Loads Party, and if OpenAI can’t go public, SoftBank will face a legitimate liquidity crisis.”

  84. Assessment: UnresolvedSaid

    “Generative AI will not bring us AGI, nor does it do much of what we associate with artificial intelligence.”

  85. Assessment: UnresolvedSaid

    “We have little compelling evidence that providing any inference-based services is profitable, which means that even if open source AI outlives the frontier AI labs, it’s unclear who would actually power the infrastructure.”

  86. Assessment: UnresolvedSaid

    “And, most crucially, the vast majority of big tech will be fine, at least in the short term, when the bubble bursts.”

  87. Assessment: ContradictedSaid

    “A lack of data center capacity isn’t holding back people from using generative AI, nor is it stopping anybody from launching a product, nor can anyone actually express what it is that they’re being built for other than “reasons for Anthropic and OpenAI to spend money.””

    What happened: The report documents restricted subscription usage during July 1–7 and reports the company's July 2 statement that standard access would return when capacity allowed. The primary announcement in e2 supplies the same capacity explanation. (Joho no Todai, )

  88. Assessment: UnresolvedSaid

    “There is no avoiding the carnage to come, outside of there being somewhere in the order of ten to a hundred times the demand for AI compute by 2030 that exists today, which would require AI compute to be larger than the $779 billion that the software industry earns annually.”

  89. Assessment: UnresolvedSaid

    “the only reason that AI has any presence in our economy is that Microsoft, Google, Meta, and Amazon are intent on spending more than $765 billion in capital expenditures in 2026 and a trillion more in 2027 because they have no other hypergrowth ideas, even though generative AI has yet to show any real potential as something that can drive meaningful revenues (let alone profits)”

  90. Assessment: UnresolvedSaid

    “There isn’t a need for a bailout here, and one won’t be forthcoming.”

  91. Assessment: UnresolvedSaid

    “Nevertheless, said demand can’t be that large, otherwise we’d A) have other companies trying to build their own compute (other than Poolside, which failed to raise money to do so) and B) massive remaining performance obligations — hundreds of billions of dollars’ worth — rather than the grim truth that 50% of hyperscaler RPOs are from Anthropic and OpenAI, inflating obligations by $448 billion”

  92. Assessment: UnresolvedSaid

    “GPUs aren’t dark fiber! GPUs aren’t fucking railroads! GPUs are GPUs! They are used for basically one thing! And that one thing lacks meaningful demand outside of subsidized services and circular financing!”

  93. Assessment: SupportedSaid

    “The only thing that American labs are scared of is cheaper open source Chinese models offering similar performance to their premium products, something that has also already happened.”

    What happened: The report identifies Kimi K2.5 and GPT-5.2 at the same index score, with blended prices of $1.20 and $4.81 per million tokens respectively. This dated historical comparison supports comparable benchmark performance at a lower price; the live benchmark page no longer preserves that snapshot. (U.S.-China Economic and Security Review Commission, )

  94. Assessment: UnresolvedSaid

    “The vast, vast majority of AI compute demand is from services provided to people either for free or sold at such a massive discount that it’s impossible that anyone on a $20 or $200-a-month plan could even afford these services had they paid their actual token cost.”

  95. Assessment: UnresolvedSaid

    “Once every media story isn’t about AI, once every Business Idiot with AI psychosis stops posting about it every day, when everyone stops asking about your AI strategy or wanking on about “sovereign AI,” it’ll become blatantly obvious that the actual demand for AI was not particularly strong.”

  96. Assessment: UnresolvedSaid

    “They are not building autonomous intelligence, nor will they ever do so.”

  97. Assessment: ContradictedSaid

    “Newsflash! AI GPUs are useful for generative AI and not much else.”

    What happened: The published benchmark documents molecular dynamics workloads on B200, GH200, and H100 GPUs, including a million-atom system. Its purchase-cost caveat is material: demonstrated usefulness does not establish that these are the cheapest GPUs for that work. (Exxact, )

  98. Assessment: UnresolvedSaid

    “AI does not do what you have been promised it does, and those who are excited about it are excited because they believe it will replace you.”

  99. Assessment: UnresolvedSaid

    “So, yeah, not including anything from Q2 2026, Anthropic and OpenAI represent 68% of the $110 billion of AI revenue that Exponential View is trying to get people excited about.”

  100. Assessment: UnresolvedSaid

    “As if I haven’t made it clear enough, the AI industry is losing. Their plans are not working, their products are not doing the things that they’ve promised, and though they intend to exhaust every available source of capital, they aren’t going to have enough money to do this forever.”