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Michael Burry Calls AI Apocalypse Warnings a 'Self-Serving' IPO Strategy
Rogue superintelligence that can commandeer weapons systems and launch attacks. Large Language Models that wreak havoc on biological research labs, creating new viruses that spread globally. This kind of AI doomerism has dominated recent headlines following former Anthropic employee Jacob Coxon's
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Michael Burry reveals his verdict on the ongoing AI bubble
Every time Silicon Valley's biggest names line up behind a single message, someone eventually asks who benefits from such universal agreement. This time, that someone was the investor best known for calling the housing crash before almost anyone else saw it coming. Michael Burry has spent the past
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Michael Burry, famed for predicting the 2008 housing crash, argues that AI apocalypse warnings from OpenAI and Anthropic leaders are a self-serving slowdown narrative designed to mask financial struggles ahead of historic IPOs. The investor questions whether AI doomerism serves safety or bottom lines.
Michael Burry, the investor who famously predicted the 2008 housing crash, has turned his skeptical eye toward the AI bubble and its most prominent voices. When OpenAI's Sam Altman, Anthropic's Dario Amodei, and Elon Musk aligned on calls to slow AI development following viral AI apocalypse warnings, Burry saw something different: a self-serving IPO strategy masking financial realities rather than genuine safety concerns
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.The controversy erupted after former Anthropic employee Jacob Coxon's September 8 thread on X detailed catastrophic scenarios including rogue superintelligence commandeering weapons systems and LLMs wreaking havoc on biological research labs. The message prompted unexpected unity among AI bigwigs, all suddenly advocating for slowing AI development
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. Burry dismantled this consensus in a post on his Substack, Cassandra Unchained, and X, describing the warnings as products of "hype and puffery" rather than legitimate caution1
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Source: Inc.
Burry's skepticism stems from examining AI industry dynamics through an economic lens rather than dystopian speculation. Both Anthropic and OpenAI have been preparing for historic IPOs at trillion-dollar valuations, with Anthropic targeting an October Nasdaq listing at approximately $2 trillion
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. The investor argues these AI apocalypse warnings provide "cover for real uncontrollable slowing growth as IPOs look to be pushed out"1
.The financial picture supports his concerns. OpenAI grossed $13 billion in revenue but lost $34 billion in 2025, according to leaked documents obtained by AI critic Ed Zitron
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. These staggering losses prompted Sam Altman to tell Fortune that "right now would be an ill-advised time" for an IPO, pushing the company's public debut back to 20271
.Anthropic's accounting practices raised additional red flags. The company employs adjusted operating income metrics that remove non-recurring costs, a technique unapproved by Generally Accepted Accounting Practices (GAAP) outlined by the Financial Accounting Standards Board
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. Many analysts view Anthropic's reported two consecutive quarters above 80 percent margin growth as products of questionable non-GAAP bookmaking1
.Burry laid out his skepticism in four numbered arguments that challenge the entire premise of slowing AI development. His first objection strikes at the foundation: "LLMs are not AI and won't be AGI. There is nothing AI to slow down," he wrote
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. This challenges the notion that large language models represent genuine artificial intelligence capable of becoming AGI.His second point examines competitive dynamics within AI industry dynamics. Burry argues that deliberately slowing frontier development benefits whichever companies already lead, since fast-moving rivals lose the most ground when the entire industry's pace eases
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. This transforms the self-serving slowdown narrative into a competitive moat-building exercise.The third reason focuses on timing. Both OpenAI and Anthropic IPOs filed confidential paperwork earlier in the summer, making the sudden safety concerns suspiciously well-timed
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. Burry suggests warnings framed as "we are so awesome it could become dangerous" function as marketing ahead of some of Wall Street's largest listings ever2
.His fourth argument proves sharpest: the safety talk could provide cover for slowing growth unrelated to caution, pointing to Altman's own admission about ill-advised IPO timing
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. Safety concerns and IPO strategy may be more intertwined than companies acknowledge.Dario Amodei's roughly 3,800-word essay titled "We Must Pace the Frontier" argued companies should independently monitor model development, coordinate with other democratic AI labs, and eventually reach agreements with authoritarian governments including China
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. He framed the plan as pacing rather than halting progress.Sam Altman endorsed the vision within hours. Elon Musk posted three words: "Dario is right." Google DeepMind's Demis Hassabis followed
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. Three labs that normally compete fiercely for every GPU and talent hire suddenly shared identical public positions.The China provision sparked the most controversy. Amodei urged Washington to maintain tightening chip export controls and take stronger action against unauthorized model distillation
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. Beijing's state-run Global Times dismissed the essay as a Cold War playbook, while President Trump stated the U.S. was leading China in AI and had no interest in slowing down2
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Michael Burry has spent much of 2026 building short positions against companies tied to the AI bubble, disclosing bets against Nvidia, Tesla, Micron, Applied Materials, Caterpillar and a leading semiconductor ETF
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. His broader argument centers on a feedback loop: chip stocks rise because hyperscalers spend heavily, partly because chip stocks keep rising2
. This creates the appearance of real demand even when it's partly self-reinforcing hype.Burry isn't alone in questioning motives behind the push. David Sacks, the White House AI and crypto czar, argued that if Anthropic and OpenAI genuinely believed their models were too dangerous to release, they could simply slow down independently rather than tying restraint to new regulatory frameworks first
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. This highlights governance debates around whether AI doomerism serves public safety or corporate interests.Watch how OpenAI and Anthropic IPOs perform when they eventually go public. The gap between apocalyptic warnings and actual financial performance will reveal whether these companies are genuinely concerned about existential risk or managing investor expectations ahead of challenging market conditions. The AI industry dynamics at play suggest the self-serving IPO strategy may be more about protecting trillion-dollar valuations than protecting humanity.
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