Research Burry's view that OpenAI and Anthropic want to join the Big Tech oligopoly.

Michael Burry’s late-September and early-October 2026 posts treat OpenAI and Anthropic not as pure technology bets but as companies trying to buy seats inside an AI cloud oligopoly that Big Tech already expects government to protect. He wants equity markets to fall hard enough that those IPOs cannot clear, because public capital would lock in spending commitments whose economics, in his view, have not been proven and may never pay back.

The oligopoly thesis, in his words

On October 6, 2026, posting as Cassandra Unchained, Burry wrote: “The only reason the CEOs of these tech monopolies are spending wildly on data centers like they are is because they assume they will be granted an oligopoly that is too big too fail.” The next day, in the Substack note “Short Thoughts: The AI Cloud Oligopoly,” he extended the argument to the labs and to Oracle. Monopolies, he said, “need not spend wildly as if their lives depended on it.” The hyperscalers (excluding Apple) are doing so because they expect government to “tolerate their oligopoly on AI.” OpenAI, Anthropic, and Oracle are not monopolies, but “they intend to be part of the oligopoly. None can imagine breaking the dominance of a Microsoft, Amazon, Google, or Meta within each silo.” He grants them only “the craven desire to expand a monopoly, to join an oligopoly.” That is “a want, not a need,” and “human thought is far too redundant for what is being built.” The end state he expects is compression: “much of what is being spent will be just so much sunk cost.”

The mechanism he is describing is a land grab for durable rents, not a response to proven unit economics. Once public shareholders finance the labs, the same capital that funds the build-out also makes the resulting capacity politically harder to strand. Ed Zitron’s public reply, reported the same week, pushed the opposite concentration point: cloud growth is already heavily dependent on OpenAI and Anthropic demand, so the oligopoly bet may rest on two customers rather than a broad market.

Funding, compute commitments, and the circular loop

Burry’s objection is not that the labs lack money. It is that the money is largely supplier-financed and then spent back on the suppliers.

Anthropic’s confidential IPO prospectus, reviewed by Reuters in late September 2026, shows at least $518 billion of cloud, computing, and infrastructure commitments over roughly a decade with six partners, about 80 percent non-cancelable or payable regardless of usage. Of that, Reuters reported at least $111.1 billion with Google (April 2026–July 2033), $110 billion with Amazon (May 2026–April 2036), and $31.4 billion with Microsoft (November 2026–May 2033). The filing language, as reported, is take-or-pay: “If our actual spend falls short, we must pay Google the difference,” with similar terms for Amazon; the Microsoft commitment is non-cancelable except for uncured material breach. Equipment leases tied to Broadcom are also described as largely non-cancelable. Against that, the same prospectus showed 2025 revenue of about $4.6 billion, a net loss of about $42 billion (much of it an accounting charge on financing that could convert to equity rather than cash operating spend), and an operating loss that Reuters put near $8.06 billion. Compute and infrastructure spend in 2025 was about $7.33 billion.

Private capital has already scaled the valuations. Anthropic’s May 2026 Series H raised $65 billion at a $965 billion post-money valuation. OpenAI’s March 2026 round raised $122 billion at an $852 billion valuation; by early October it was reported in talks for a further private round of at least $30 billion at valuations discussed around $1.2–1.4 trillion or higher. Those rounds include the same strategic partners that sell them compute.

The circular piece Burry has highlighted most sharply is Nvidia’s role as investor, guarantor, and chip supplier. In late July 2026 he responded to reports of a large Nvidia financing backstop for an OpenAI-linked Ohio campus with “Around and around we go.” After Nvidia’s subsequent 10-Q disclosed guarantees “capped at a total of $105 billion” for credit support on land, power, and shell for an OpenAI-leased campus at SoftBank’s SB Energy PORTS site in Ohio—about 4.25 gigawatts of IT load that would “exclusively host NVIDIA AI infrastructure”—he called it “Whistling past the graveyard.” Nvidia’s CFO has acknowledged that some will call the support circular financing and said the company sees it differently. Public reporting also places Nvidia’s equity contribution to OpenAI’s large 2026 round at about $30 billion (well short of an earlier letter-of-intent figure of up to $100 billion) and up to $10 billion toward Anthropic alongside Microsoft.

The wider web, which Burry has circulated via a Bloomberg diagram, runs in both directions. Reported multi-year purchase commitments include roughly $250 billion from OpenAI to Microsoft Azure and on the order of $300 billion tied to Oracle. Oracle’s remaining performance obligations have been cited by Burry in the hundreds of billions, with his claim that “the customer is now the lender” because incremental capital for the build-out comes from the customer side of the contract. Amazon and Alphabet are both large Anthropic shareholders and large counterparties on Anthropic’s locked compute spend; Microsoft is both a major OpenAI owner and a major Azure counterparty. The loop Burry and others describe is simple: a hyperscaler or chipmaker funds or guarantees a lab, the lab commits to buy that firm’s compute or chips, and the supplier books revenue (and often marks up its equity stake) even if end-user cash profits have not caught up.

The “tank hard” call: quotes, date, and reasoning

On September 29, 2026, Burry posted: “For the benefit of humanity, the markets should tank hard and prevent the OpenAI and Anthropic IPOs.” In the same thread he wrote: “These are companies that are going suck up and then destrop TRILLIONS of dollars of capital, and that will be the least of the damage they do.” (The misspelling “destrop” is in the original post.) When a user replied that the market should tank so “Skynet can’t IPO,” Burry answered: “Along those lines.”

The reasoning is capital-rationing, not a prediction that models will become Terminator. An IPO, in his framing, is the mechanism that lets the labs raise sums private markets cannot permanently supply and that converts today’s circular commitments into public-market liabilities. If markets fall hard enough that the window closes, the industry is forced to confront spending before the commitments get larger and before “too big to fail” becomes a political fact. He had already called September safety-slowdown essays from OpenAI and Anthropic executives “self-serving,” writing that “IPOs need hype & puffery” and that “we are so awesome it could become dangerous” is itself hype. The September 29 posts landed as the White House hosted AI executives on voluntary self-regulation, which he treated as further evidence that political cover and capital access are moving together.

Critics in the replies and in later coverage noted that Burry has held put exposure tied to AI-linked names, so a crash would also serve those positions. That does not change the stated mechanism: stop the IPOs so the capital sink cannot be socialized through public equity.

IPO status as of mid-October 2026

OpenAI. The company confidentially submitted a draft S-1 on June 8, 2026, with Goldman Sachs and Morgan Stanley reported as lead banks, after earlier talk of a late-2026 listing. On August 19, CFO Sarah Friar told employees the company would be public in 2027, or sooner only if the business “continues to inflect.” On September 12, Sam Altman told Fortune that “right now would be an ill-advised moment to go public” given safety work, and when pressed said “I would say not 2026.” As of mid-October there is no public prospectus, no price range, and no confirmed quarter inside 2027. The company continues to raise privately; reports in late September and early October described early talks for at least $30 billion more at valuations discussed from roughly $1.2 trillion to $1.4 trillion or higher. Annualized revenue figures circulating among investors have been disputed in the press, with one Financial Times account putting the end-of-September run rate near $50 billion versus higher figures previously given to backers.

Anthropic. It confidentially submitted a draft S-1 on June 1, 2026. A public S-1 had not appeared on EDGAR by mid-October. On October 14 it held a pre-IPO investor day in San Francisco with CEO Dario Amodei and CFO Krishna Rao. Attendees were told third-quarter revenue was $16.8 billion, up about 45 percent from $11.6 billion in the second quarter (and from about $4.7 billion in the first), and that the company was profitable on an adjusted basis, with some accounts also citing positive free cash flow and roughly $1.70 of revenue per dollar of compute spend. Sequential growth had slowed sharply from the prior quarter’s more-than-doubling, and by October 15 Reuters reported that some current and prospective investors were discussing a valuation around $1.5 trillion, down from the roughly $2 trillion figure that had been in circulation for a November sale. Formal marketing has been reported as potentially starting the week of November 9, with a listing aimed after the November midterms and, in some accounts, before Thanksgiving—subject to the required public filing window before a roadshow. Goldman Sachs and Morgan Stanley have been reported as leading the deal. The May private mark remains $965 billion. The $518 billion commitment stack and the 2025 loss profile are still the numbers the leaked prospectus put in front of the market.

What this implies for anyone on the other side of the trade

Burry’s position is that the binding constraint is not model quality but the financing structure. Take-or-pay contracts with the same firms that own equity in the labs turn variable compute cost into something closer to fixed debt, while an IPO would refinance that structure with public equity at valuations that assume the oligopoly rents arrive before compression does. A competitor or a public-market investor does not need to share his “benefit of humanity” framing to track the same variables he is using: how much of Anthropic’s $518 billion is truly non-cancelable, whether OpenAI’s 2027 window stays open if private rounds keep clearing above $1 trillion, whether Nvidia’s guarantee book and hyperscaler remaining performance obligations keep rising faster than cash returns, and whether the October 14 deceleration in Anthropic’s sequential growth is a one-quarter pause or the start of the compression he expects to turn much of the spend into sunk cost.

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Recent Findings Supplement (October 2026)

Michael Burry has argued that OpenAI and Anthropic seek to join (rather than disrupt) the existing Big Tech AI oligopoly dominated by Microsoft, Amazon, Google, and Meta, viewing their massive spending and IPO ambitions as unsustainable bets that could destroy trillions in capital.[1]

His commentary, primarily via X posts and Substack in September–October 2026, ties directly to their funding rounds, enormous compute/infrastructure commitments, and plans to access public markets. He has explicitly called for markets to decline sharply enough to block their IPOs.[2]

Burry’s View on Oligopoly Ambitions

Burry frames OpenAI and Anthropic not as challengers but as aspiring members of a protected oligopoly. In an October 2026 Substack post, he stated that these companies “intend to be part of the oligopoly. None can imagine breaking the dominance of a Microsoft, Amazon, Google, or Meta within each silo.” He described their drive as a “craven desire to expand a monopoly, to join an oligopoly,” but dismissed it as a “want, not a need,” arguing human thought is “far too redundant for what is being built.”[1]

He extended this to Big Tech hyperscalers, claiming their data center spending spree occurs because CEOs “assume they will be granted an oligopoly that is too big [to] fail.”[3]

This perspective underpins his skepticism about the durability of their economics and capital needs.

Burry’s Warnings on IPOs and Call for Market Decline

In late September 2026 (around Sept 29–30), Burry posted on X under @michaeljburry (Cassandra Unchained): “For the benefit of humanity, the markets should tank hard and prevent the OpenAI and Anthropic IPOs.”[2]

In follow-ups, he added: “These are companies that are going suck up and then destroy TRILLIONS of dollars of capital, and that will be the least of the damage they do.” He agreed with a user’s “Skynet can’t IPO” joke.[4]

Earlier in September 2026 (around Sept 14), he called AI leaders’ public warnings about slowing development “self-serving,” writing that “IPOs need hype & puffery; ‘we are so awesome it could become dangerous’ is hype & puffery.” He argued LLMs are “not AI and won’t be AGI,” so there is “nothing AI to slow down,” and that slowdown talk benefits incumbents while competition rises.[5]

In early October 2026 Substack commentary, he benchmarked Anthropic’s valuation against historical precedents (e.g., UPS’s inflation-adjusted pre-IPO record of ~$119 billion) and noted that Anthropic’s figure could buy “78” profitable S&P 500 companies (examples: Domino’s, Clorox, lululemon). He described stocks as in a “denial stage” expected to last 6–9 months.[6]

Implication for entrants/competitors: Burry sees IPOs as the mechanism that would lock in unsustainable capital flows; blocking them via a market decline could force a reckoning on unproven economics before more damage occurs.

Funding Rounds, Compute Commitments, and Infrastructure Scale

Anthropic’s May 2026 Series H round raised $65 billion at a $965 billion post-money valuation, led by investors including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia, with participation from strategic infrastructure partners.[7]

A leaked draft prospectus (reported by Reuters in late September 2026) detailed:
- 2025 revenue of ~$4.6 billion (roughly 12x growth).
- Net loss of ~$42 billion (much of it an accounting charge, per reports; operating loss cited around $8 billion in some coverage).
- $7.33 billion spent on compute and infrastructure in 2025.
- ~$518 billion in future cloud, computing, and infrastructure commitments (with reports noting a high percentage non-cancelable).[2]

More recent updates (October 2026) showed Anthropic reporting Q3 2026 revenue of $16.8 billion to prospective investors.[8]

OpenAI has pursued large private raises (including a reported $122 billion round in March 2026) and additional funding talks (at least $30 billion more at ~$1.4 trillion valuation), alongside major compute deals.[9]

Burry has highlighted the scale of these commitments as evidence that IPO proceeds would fuel further expansion before returns are proven, rather than resolving underlying economics.[7]

Circular Financing and Ties to Nvidia, Hyperscalers

Burry has criticized accounting practices around AI infrastructure depreciation by hyperscalers (Amazon, Meta, Alphabet/Google, Microsoft, Oracle), arguing useful lives are overstated (e.g., extending server life to 5+ years vs. a more realistic 2–3 years for chips), potentially understating depreciation industry-wide by tens to hundreds of billions through 2028.[10]

Public reporting notes complex interdependencies: OpenAI has deals spanning Microsoft (primary backer), Amazon, Google, and Oracle (including a reported $300 billion compute access deal with Oracle); Nvidia has engaged in vendor financing-style arrangements (e.g., investments or support tied to chip purchases); and Anthropic has cloud partnerships with multiple providers.[11]

Burry links these to oligopoly protection and questions sustainability, noting compression advances could render much spending “sunk cost.”[1]

IPO Plans and Status as of Mid-October 2026

Anthropic: Confidential S-1 filing in June 2026. Targeting a November 2026 Nasdaq IPO (after U.S. midterms, potentially before Thanksgiving), with marketing/roadshow activity eyed for the week of Nov. 9. Pre-IPO investor events pitched at $1.8–2 trillion valuation (roughly double the May 2026 private mark); some reports note $100 billion potential raise. As of early-mid October 2026, investor meetings were underway or imminent, with some prospective investors reportedly tempering expectations amid revenue growth concerns.[12]

OpenAI: Explicitly ruled out a 2026 IPO. CEO Sam Altman stated in September 2026 that it would be “ill-advised” due to safety and alignment priorities; the company is focusing on those issues and pursuing further private capital instead of public listing (targeting 2027 at earliest).[13]

These timelines represent shifts from earlier 2026 expectations, enabled in part by continued private market access for the largest players.[9]

No major new regulatory or policy developments directly altering these plans appear in the most recent reporting. Burry’s bearish positioning (including puts on indices like NDX/SMH and names like Oracle/Palantir) has evolved with “moving timelines up” on his AI thesis.[14]

Overall, recent developments center on Burry’s sharpened public critique timed with Anthropic’s prospectus disclosures and IPO momentum, contrasted with OpenAI’s delay—highlighting the tension between private capital scale and public market scrutiny.