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

Claims checked against evidence by Ed Zitron, page 1 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 1 of 13: claims 1 to 100 of 1230, ordered by the date first said, newest first. To find a claim by its words, use search.

  1. Assessment: UnresolvedSaid

    “This Is The Best Anthropic Will Ever Look, And Its IPO Timing Is Intentional”

  2. Assessment: UnresolvedSaid

    “More than 37% of all US household wealth is tied up in a US stock market pumped full of hot air”

  3. Assessment: UnresolvedSaid

    “Data centers are not getting built, and are requiring endless high-interest debt to fund them.”

  4. Assessment: UnresolvedSaid

    “In any case, while we don’t know much about Anthropic past Q3 2026, we do know that it has hundreds of billions of compute costs due in the next few years, and that they’re going to increase dramatically:”

  5. Assessment: UnresolvedSaid

    “And then there’s the other problem: a large share of these supposed “diverse” customers are, in fact, unprofitable and unsustainable AI startups.”

  6. Assessment: UnresolvedSaid

    “When we factor in that Anthropic’s revenue to date — including the $16.8 billion reported for Q3 2026 — is around $33.08 billion, that means that as much as $2.31 billion of its revenues (7%) has come from other companies distilling its models.”

  7. Assessment: UnresolvedSaid

    “That $97.5 billion number rivals the $50 billion to $100 billion Anthropic wants to raise in its IPO, and in both cases investors will be left holding the bag for two companies with little tangible proof that they can live up to their egregious promises.”

  8. Assessment: UnresolvedSaid

    “The two biggest companies — OpenAI and Anthropic — have over $1.3 trillion in obligations, many of them non-cancellable, and are looking to take their companies public before most of them kick in, tricking retail investors into believing they’re in a much better place just before the anvil drops on their head.”

  9. Assessment: UnresolvedSaid

    “Both Anthropic and OpenAI Are Dependent On Venture-Backed Startups For 80% Of Their Enterprise Revenues — And Anthropic Used Discounts To Pump Revenues In The Short Term”

  10. Assessment: UnresolvedSaid

    “Again, the most generous estimate is guaranteed to be a fraction of the real number, not least because two customers alone accounted for 23% of Anthropic’s accounts receivable in H1 2026.”

  11. Assessment: SupportedSaid

    “Anthropic is playing a dangerous game where it either chooses to alienate some of its largest customers or drain them of what remains of their venture capital by demanding they guarantee a minimum spend on tokens.”

    What happened: The article reports that Replit had intended to remain with Anthropic but moved most spending to OpenAI after Anthropic required a larger commitment to preserve its discount. This supports the customer-alienation branch, subject to the limitations of secondhand, anonymous-source contract reporting. (The Next Web, )

  12. Assessment: UnresolvedSaid

    “This means that a large chunk of both companies’ revenues are dependent on their customers being able to continually raise capital”

  13. Assessment: UnresolvedSaid

    “At a $1.4 trillion to $1.75 trillion valuation, Anthropic is long past the point at which there’s really any room for this to grow like, say, investing in Amazon (which went public at $438 million), Microsoft ($777 million or so), Google ($23 billion), or Meta ($104 billion).”

  14. Assessment: UnresolvedSaid

    “In fact, the literal opposite is going to take place over the next few quarters, as Anthropic’s massive non-cancellable burdens start weighing on its balance sheet regardless of how well the company does.”

  15. Assessment: UnresolvedSaid

    “The theoreticals and hypotheticals of this industry are so powerful that they’ve created one of the (if not the) largest equities bubbles in modern history, all heavily-centralized around the valuations of a handful of names related to the so-called AI trade, which translates to “buying or selling stuff to do with AI GPUs.””

  16. Assessment: UnresolvedSaid

    “If it does, a $1.5 trillion valuation would spell disaster for OpenAI, which has (as mentioned above) been trying to raise $30 billion at a $1.4 trillion valuation.”

  17. Assessment: UnresolvedSaid

    “In other words, venture capital is not particularly good at creating value, and has, in a period of poor value creation, centralized the majority of its investments in a single industry, with the majority of those investments going to companies related to or powered by Large Language Models that have yet to prove their economic worth.”

  18. Assessment: UnresolvedSaid

    “To sustain the valuation of these stocks — let alone continue growing — will require every company involved to either spend or make hundreds of billions of dollars in perpetuity, increasing every single quarter, without fail.”

  19. Assessment: UnresolvedSaid

    “If demand wavers, NVIDIA, Broadcom, Micron, AMD, and any associated silicon or hardware counterparties will see their revenue growth stumble, which will have a brutal knock-on effect on their stocks.”

  20. Assessment: UnresolvedSaid

    “This has led to the single-highest inflow of foreign investments into US equities in history — larger than the Dot-Com Bubble, the leadup to the Great Financial Crisis, and even the dying gasps of the Zero Interest Free Era in 2021, per Apollo:”

  21. Assessment: UnresolvedSaid

    “As of typing this sentence, NVIDIA alone makes up 11.31% of the NASDAQ 100, with the combined weight of NVIDIA, Google, Amazon, Meta, Microsoft, Broadcom, Micron, AMD and CoreWeave representing about 46.5% of the index’s value, or 39.3% of the entire 3000-company NASDAQ composite.”

  22. Assessment: UnresolvedSaid

    “And let’s be clear about something: all it takes is the vibe souring to the point that people lose faith in the AI trade for everything to start to collapse.”

  23. Assessment: UnresolvedSaid

    “This is one of the core issues with measuring AI demand — that the vast majority of it comes from selling services that do not make any economic sense.”

  24. Assessment: UnresolvedSaid

    “Their elevated valuations come from a belief that they’ll grow in perpetuity, much like the American markets.”

  25. Assessment: UnresolvedSaid

    “Said billions are contingent on the AI labs’ continued revenue growth, and considering that 80% of Anthropic and OpenAI’s enterprise revenues come from loss-making AI startups allowing their customers to burn many times their subscription price in AI tokens (as much as $1,300 on Cognition’s $200-a-month plan, for example), meaning that Anthropic and OpenAI’s revenue growth is contingent on venture capital’s continued ability to fund their customers.”

  26. Assessment: UnresolvedSaid

    “All the while, there can be no perceptual shift against generative AI, because any further souring of the debt markets will have neoclouds and would-be data center operators paying 12% to 15% in interest to build data centers sometime three years in the future for a customer base that’s pretty much entirely made up of Anthropic and OpenAI.”

  27. Assessment: UnresolvedSaid

    “The fundamental disconnection between the perception of AI growth inflating the value of hyperscaler stocks and the worrying fact that we don’t really know exactly how much AI revenue they make means that the S&P 500 and NASDAQ are held up by a kind of childish excitement that will, at some point, turn to existential fear.”

  28. Assessment: UnresolvedSaid

    “OpenAI and Anthropic are horrifyingly unprofitable, deeply unstable, and as I’ve discussed, 80% of their revenues come from companies that literally can’t afford to pay them, and yet the markets never react, because this information doesn’t really matter as long as the right numbers keep going up.”

  29. Assessment: UnresolvedSaid

    “Anyway, to buy those GPUs (or TPUs, in Broadcom’s case), everyone outside of Microsoft will have to raise tens of billions of dollars of debt at a time when underlying interest rates are growing and the overall debt markets have chilled around AI data center debt.”

  30. Assessment: UnresolvedSaid

    “With endless delays and hundreds of billions of dollars of chips sitting in storage, AI data centers have dramatically turned from the panacea for all infrastructure investment to fixed-income nightmare fuel.”

  31. Assessment: UnresolvedSaid

    “This means that the increased price of RAM and consumer electronics was a result of an artificial "supply chain crisis" created by Jensen Huang pushing NVIDIA's customers to take early delivery of GPUs.”

  32. Assessment: UnresolvedSaid

    “This week’s premium will be the Hater’s Guide To Blackstone, a company that vibrates with evil, and has staked its entire future on whether AI works out.”

  33. Assessment: SupportedSaid

    “All this ire towards AI data centers means that the price of borrowing for them is skyrocketing on top of ten-year-dated Treasuries stubbornly sitting above 5%, which makes the overall economics of AI data centers increasingly problematic, as nobody can seem to measure A) how much they make and B) how much they cost.”

    What happened: The matched sample’s median issuer spread rose from 334 to about 413 basis points, compared with a one-basis-point move in its broader high-yield comparison. The analysis explains why higher yields indicate more expensive prospective financing while existing fixed coupons remain unchanged. (AIStockWire, )

  34. Assessment: UnresolvedSaid

    “In basically any industry, the more demand you have, the more money you make, but in AI, the more demand you get, the more money you lose, and your most engaged customers are also your least-profitable.”

  35. Assessment: UnresolvedSaid

    “It doesn’t really matter what big businesses are or are not using Claude or ChatGPT — the underlying revenues of these companies are held up by venture capital by proxy.”

  36. Assessment: SupportedSaid

    “though Bloomberg and I have both reported that Microsoft has around 2GW of it, even though it claimed to bring online a gigawatt in each of its last three fiscal quarters.”

    What happened: Supports the approximate AI-specific capacity figure. This relays Bloomberg reporting, also corroborated by the fully read Reuters republication; it is not an independent fleet audit. (GuruFocus, republished by Yahoo Finance, )

  37. Assessment: UnresolvedSaid

    “In reality, the company projects to make somewhere in the region of $30 billion in 2026.”

  38. Assessment: UnresolvedSaid

    “their immediate response is to say that 2026 will be fine because of quarters with discounted compute costs and adjusted operating profits that don’t actually resolve the underlying problem that these companies have $1.3 trillion in compute commitments, with at least $413 billion of them being uncancellable.”

  39. Assessment: UnresolvedSaid

    “In fact, if you added up every dollar that both Anthropic and OpenAI made in the first two quarters, you’d be $19.1 billion short of Anthropic’s May “run rate.””

  40. Assessment: UnresolvedSaid

    “The Revenues80% of Anthropic and OpenAI’s revenues come from 1% of their customers, the vast majority of which are AI startups that spend anywhere from 300% to 1000% of their revenue on AI tokens.”

  41. Assessment: UnresolvedSaid

    “Again and again, I’ve found companies paying way, way less than the supposed going rate of compute.”

  42. Assessment: UnresolvedSaid

    “Every AI startup is effectively an extraction mechanism for OpenAI and Anthropic, reselling their tokens through their services at a massive discount because users are unwilling to pay the actual cost of using LLMs.”

  43. Assessment: UnresolvedSaid

    “As I said a few weeks ago, we do not really have any firm understanding of how much AI compute actually exists, to the point that the largest companies in the world (read: Microsoft) are actively misleading the public about how much they’re bringing online.”

  44. Assessment: UnresolvedSaid

    “And if they can’t do that, large chunks of OpenAI and Anthropic’s revenues disappear.”

  45. Assessment: UnresolvedSaid

    “This means that Anthropic and OpenAI get a massive bump of new revenues — funded by AI startups that are allowing users to burn tokens without restraint — with every release.”

  46. Assessment: UnresolvedSaid

    “As a result, every AI startup runs at a loss. This necessitates raising massive amounts of capital every few months.”

  47. Assessment: ContradictedSaid

    “Your depreciation costs here work out to about $1.54-per-GPU-per-hour, meaning that you’re losing nearly half of your revenue for the first six years…of a five year long contract.”

    What happened: The reported contract rates supply the revenue denominator; applying the speaker's assumed cost and six-year life gives $1.284 per GPU-hour and 32.3% of blended revenue. This is a derived check of his illustrative arithmetic, not evidence of the provider's actual depreciation expense. (BTW Media, )

  48. Assessment: UnresolvedSaid

    “Anthropic and OpenAI’s growth depends on the AI startup ecosystem being able to spend increasing amounts on tokens every single month, without fail, for what appears to be the rest of time.”

  49. Assessment: UnresolvedSaid

    “As a result, basically any AI compute capacity estimates are guesses.”

  50. Assessment: UnresolvedSaid

    “This all makes pontifications that data center spending will increase to $32 trillion by 2050 equal parts stupid and wasteful, on top of the overall problem that there isn’t even enough demand right now for hyperscalers to break even on their 2026 and 2027 capex plans.”

  51. Assessment: UnresolvedSaid

    “Data center debt is now pricing based on increasingly-sour sentiment driven by power delays, local pushback and a general anxiety that maybe these debts won’t actually get paid.”

  52. Assessment: UnresolvedSaid

    “This means that any “virgin” projects — those that aren’t directly backstopped or co-signed by hyperscalers — are guaranteed to hit egregiously-high, 9% to 14% rates, which makes (as I discussed a few weeks ago in my two-part debt series) it near-impossible to make the already-questionable economics of running a data center work.”

  53. Assessment: UnresolvedSaid

    “Hyperscalers have no other hypergrowth ideas left — no new Google Search, Microsoft 365, or Facebook — to sell investors, and in pursuit of AI have become the most asset-burdened companies on the Fortune 500, rivaling ExxonMobil, Berkshire Hathaway and Chevron, except instead of oil and diverse stocks they have GPUs that only retain value during a hype cycle.”

  54. Assessment: UnresolvedSaid

    “There are no other AI companies that are growing anywhere near as fast or have customer bases that come close to Anthropic and OpenAI, and those customers are mostly other AI startups.”

  55. Assessment: UnresolvedSaid

    “As I discussed last week, Oracle’s $18 billion September bond sale would have (yes, the number has gone up) over $7 billion in added interest over the course of the bonds due to both the sell-off of Oracle’s debt and the overall Treasuries market.”

  56. Assessment: UnresolvedSaid

    “With hundreds of billions of dollars in non-cancellable commitments, neither of these companies can “cut their costs.””

  57. Assessment: UnresolvedSaid

    “While it’s had some effect, it isn’t the big reason that the ten-year is selling off.”

  58. Assessment: UnresolvedSaid

    “It involves CoreWeave, IREN, Nebius, and every other neocloud running out of money, fucking over investors in both their stock and debt some time in the next few years, with the underlying collateral made up of otherwise-useless data center construction and GPUs that will, at that point, be in a supply glut rivaling the Atari video game burial.”

  59. Assessment: UnresolvedSaid

    “Yet things get a little messier when you factor in non-cancelable contracts, which total $413 billion in Anthropic’s case across the next seven to ten years, guaranteeing financial strain at a time when future cashflows are far from guaranteed.”

  60. Assessment: UnresolvedSaid

    “Chairman and founder Larry Ellison just added another $9.2 billion in stock-backed personal loans to his already-large pile, bringing it (by my count) to around $30 billion, and the margin calls will start somewhere around $60 a share for a stock that pumps and dumps based on any OpenAI news, meaning that anything along the lines of “OpenAI can’t pay Oracle” is guaranteed to start a spiral.”

  61. Assessment: UnresolvedSaid

    “Analyst expectations have OpenAI and Anthropic contributing at least $444 billion in revenue across hyperscalers in the next three years, and if this revenue fails to arrive — either through insolvency or renegotiation of terms — every connected hyperscaler will see massive revenue misses.”

  62. Assessment: UnresolvedSaid

    “I’ve looked everywhere and I’ve found at the very, very best $22 billion of non-OpenAI/Anthropic compute purchases!”

  63. Assessment: UnresolvedSaid

    “As I’ve discussed previously, 50% to 60% of NVIDIA’s revenues are coming from hyperscalers that are actively participating in the AI boom, and without that boom (and the debt necessary to keep buying chips), nobody else is buying them at anything close to today’s scale.”

  64. Assessment: UnresolvedSaid

    “This may seem like the cheat code to get around all these horrifying rates, except CoreWeave, per analysts at UBS, needs to raise $102 billion in debt through 2030, which means it will have to keep raising on its own two feet.”

  65. Assessment: UnresolvedSaid

    “The future I am talking about — one where most data center debt goes unpaid, where OpenAI and Anthropic fail to meet their obligations, and when AI GPU sales grind to a halt — involves Google, Microsoft and Amazon having catastrophic misses on their earnings expectations, and their future revenue growth stories collapsing, along with NVIDIA’s revenues dropping as much as 90% once the debt-backed AI capex boom ends.”

  66. Assessment: UnresolvedSaid

    “They are unprofitable, unsustainable, and the only conditions under which they could raise significant debt would involve catastrophic failures of regulatory and ratings bodies.”

  67. Assessment: UnresolvedSaid

    “And there really is no hope for the $800 billion or so invested in AI startups in the last four years, as AI acquisitions are thin thanks to their high costs, miserable revenues and utter lack of intellectual property.”

  68. Assessment: UnresolvedSaid

    “In both AI labs’ cases, they are most-decidedly going to be priced like junk, even if the malignant scumbags are able to con ratings agencies into giving them investment-grade ratings, because while the bond markets listen to credit ratings, they price based on what the actual company looks like, guaranteeing Oracle-esque 8% minimum yields on whatever they issue.”

  69. Assessment: UnresolvedSaid

    “Every one of the “Stargate” data centers is heavily behind schedule, and Stargate Abilene — which Oracle claims is “75% delivered” — has no more than half of its capacity installed, not that anyone bothers to check these things or investigate the claims of anyone connected to the AI bubble.”

  70. Assessment: UnresolvedSaid

    “Once a public company, Anthropic will no longer be able to raise venture capital at its current scale (over $95 billion in 2026) alone, and if it intends to raise even half that much on a yearly basis, it will become one of the largest issuers of junk-grade debt in history.”

  71. Assessment: UnresolvedSaid

    “As you can see, debt alone isn’t getting these companies $50 billion a year outside of a rating that’s near-impossible outside of ratings agencies defaulting on their jobs.”

  72. Assessment: UnresolvedSaid

    “And so, while I’m not going to repeat everything I went over last week, the point I’m making is that anyone raising any AI-related debt is going to get shafted by both overall Treasury prices, sentiment around AI in general, and their own specific financial situation.”

  73. Assessment: UnresolvedSaid

    “Anthropic’s vulgar “Earnings Before Training, Interest and Taxes” measurement does not matter when the entire calculation is made on cashflows, and any attempts to act otherwise are either ignorant or deceptive.”

  74. Assessment: SupportedSaid

    “In 2025, Anthropic lost over $8 billion on $4.6 billion in revenue.”

    What happened: The S-1 reports revenue of $4,585 million for the year ended December 31, 2025, which is $4.585 billion and rounds to $4.6 billion. The independent auditor's opinion states that these statements are in conformity with U.S. GAAP. (Anthropic, PBC (Form S-1, filed with the SEC), )

  75. Assessment: UnresolvedSaid

    “Make no mistake, CoreWeave needs to raise more debt to build its data centers.”

  76. Assessment: UnresolvedSaid

    “And now the rest of the world has caught up to what I’ve been saying since October 2025 — that hyperscalers need at least $2 trillion in annual AI revenue by 2030 or they’ve wasted their capex.”

  77. Assessment: UnresolvedSaid

    “This puts us at $183 billion in annual AI revenue for Google, Microsoft, Amazon, Oracle and SpaceX, with $118.2 billion, or at least 64.3%, coming from Anthropic and OpenAI.”

  78. Assessment: UnresolvedSaid

    “That’s an astonishing number, and one that’s going to run headfirst into the growing price of US Treasuries”

  79. Assessment: UnresolvedSaid

    “If they aren’t going to pay those $1.3 trillion in compute bills, the jig is up for AI data center demand.”

  80. Assessment: UnresolvedSaid

    “I estimate that there’s around $22 billion of global, non-Anthropic/OpenAI compute demand, and an indeterminately-large chunk of that is coming from AI startups that can only afford to pay for the compute as long as venture capital continues to fund them…”

  81. Assessment: UnresolvedSaid

    “This means that the underlying customer base for effectively every AI data center is either a hyperscaler or somebody that can, by definition, not actually afford to pay for their compute without somebody else giving them the money, with “somebody” often meaning “a hyperscaler.””

  82. Assessment: UnresolvedSaid

    “We aren’t even in the same universe of scale that would be necessary to justify the capital expenditures made by hyperscalers.”

  83. Assessment: UnresolvedSaid

    “Eventually, AI data center debt is going to become untenable for those raising it, because 11%+ rates on already-meager margins makes the maths a little impossible.”

  84. Assessment: UnresolvedSaid

    “As I went into in last week’s premium (and per my Bastard data center model), a 100MW data center costs around $4 billion to $5 billion, with gross margins of 28% at $17.7 million a megawatt…with negative gross margins below $12.10 a megawatt.”

  85. Assessment: UnresolvedSaid

    “AI data centers take years to build.”

  86. Assessment: SupportedSaid

    “AI data centers are extremely expensive.”

    What happened: The following sentence reports average greenfield costs of $17.6 million per MW for the most modern facilities. Scaling that benchmark to the post's 100-MW example yields $1.76 billion, supporting the ordinary claim of very large absolute capital requirements. (Cushman & Wakefield, )

  87. Assessment: UnresolvedSaid

    “Nobody wants to answer these questions, because the answer is pretty simple: one day, Cognition, like many AI startups, simply runs out of money and dies, or becomes a much, much smaller company.”

  88. Assessment: ContradictedSaid

    “I also want to be clear about something: every single AI data center SPV is funded by customer payments which will only arrive if the data center actually gets completed.”

    What happened: KBRA identifies RD Michigan Property Owner I LLC as the project SPV and describes fixed-date rent commencement together with no tenant termination option for late delivery. These provisions contradict universal dependence on completed delivery. (KBRA, )

  89. Assessment: SupportedSaid

    “So, as more AI data center debt gets issued, said debt becomes more expensive, because the larger the amount of debt any one thing takes up, the more competition it faces, and the more risk an investor carries by holding it.”

    What happened: PIMCO compares AI issuance with government-adjusted spreads and non-AI issuers. It finds repricing concentrated in hyperscalers and interprets wider spreads as the mechanism absorbing their additional supply. (PIMCO, )

  90. Assessment: UnresolvedSaid

    “If they fail to do so, everybody suffers. Hyperscalers miss revenue estimates. AI data center debt goes unpaid. Venture capitalists find their holdings washed out.”

  91. Assessment: UnresolvedSaid

    “On a strictly cash basis, this means that Oracle’s debt would, if issued today, cost it another $6.89 billion in interest.”

  92. Assessment: UnresolvedSaid

    “As a result, I think it’s fair to say at least 50% of Oracle’s AI revenues are from OpenAI.”

  93. Assessment: UnresolvedSaid

    “The other problem is, as I discussed last week, that these things are simply not getting built, either because the power isn’t there or construction is taking longer than expected, which is in turn putting pressure on effectively any data center-related debt”

  94. Assessment: UnresolvedSaid

    “At some point these projects become too risky for even the most mold-poisoned private credit fund or brainless Japanese bank to stomach, and the timeline will accelerate based on either Treasury rates or further data center developments facing cashflow or construction problems.”

  95. Assessment: UnresolvedSaid

    “To be explicit, the B300 is NVIDIA’s latest-generation GPU, and its long-term rental prices are less than half of SiliconData’s hyperscale pricing for the years-old H100.”

  96. Assessment: UnresolvedSaid

    “In other words, the talking point that NVIDIA’s GPU sales are proof of actual demand for AI services or, indeed, that hyperscaler growth is a result of all those capital expenditures is a complete lie.”

  97. Assessment: SupportedSaid

    “It spent $12.65 billion in operating expenses to make $4.6 billion of revenue, otherwise known as spending $2.75 to make a dollar.”

    What happened: Reuters reports nearly $4.6 billion of 2025 revenue and $12.65 billion of total operating expenses from the prospectus. Their ratio is exactly 2.75 using the speaker’s rounded inputs. (Reuters, syndicated by WHBL, )

  98. Assessment: UnresolvedSaid

    “Everybody is either egregiously ignorant or hopelessly optimistic in a way that will make this situation so much worse when it collapses.”

  99. Assessment: UnresolvedSaid

    “AI data center customers are brittle, unprofitable and dependent on near-perpetual funding.”

  100. Assessment: UnresolvedSaid

    “I estimate that since 2023, there’s been around $800 billion in global venture capital investment in AI companies, with at least $266 billion of that going to Anthropic and OpenAI.”