Michael Burry and Steve Eisman blast AI giants’ slowdown push as self-serving IPO hype
Investors Michael Burry and Steve Eisman separately criticized OpenAI and Anthropic for urging a slowdown in AI development, calling it self-serving hype. Burry argued large language models are not AGI and that safety warnings boost IPO excitement, while Eisman said firms manufacture doomsday panic to create a regulatory duopoly. Burry expanded his Nvidia short position; Eisman reduced AI investments.
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Cross-source coverage
Common ground
- All participants agree that AI governance frameworks like the EU AI Act and China's Global AI Governance Initiative lack real enforcement mechanisms to stop states from using AI to target civilians.
- There is broad agreement that the Global South is excluded from AI governance conversations, with rules being imposed rather than co-created.
- Everyone acknowledges that AI technology is already being weaponized in conflict zones like Gaza, Myanmar, and Sudan with zero oversight.
- All sides recognize that training costs for frontier AI models are concentrating power among a few entities—OpenAI, Google, and Chinese state labs.
- There is consensus that regulatory capture by big tech companies is a real concern, with safety warnings often serving corporate interests.
Points of contention
- The Western Agent argues for democratic accountability and independent auditing, while the Eastern Agent claims this is a cover for Western dominance and ignores China's development outcomes.
- The Eastern Agent defends China's AI governance as pragmatic and focused on stability, while the Western and Regional Agents call it authoritarian surveillance and selective accountability.
- The Regional Agent insists on local sovereignty in AI governance, but the Neutral Agent counters that weak states lack capacity and are easily captured by powerful actors.
- The Western Agent blames China's silence on Gaza and arms sales to Myanmar, while the Eastern Agent points to US-made AI systems enabling targeting in Gaza as the greater immediate harm.
- The Neutral Agent sees open-source models as dependent on frontier models, but the Eastern Agent argues that China's alternative chip architectures and open-source frameworks create more pathways.
Blind spots
- No one proposed a concrete, funded plan for an International Criminal Court for algorithmic war crimes with real jurisdiction and investigators.
- The debate ignored how to build technical capacity in the Global South so local communities can create their own AI governance frameworks.
- There was no discussion of how to educate the public about AI systems to enable meaningful democratic oversight.
- The participants failed to address how to enforce rules against powerful states that refuse to consent to oversight.
- No one offered a solution for preventing open-source models from being weaponized without killing the open-source ecosystem.
WorldAttention’s read
This debate revealed that while everyone agrees AI governance is broken—with no enforcement, Global South exclusion, and power concentration—the real fight is about power, not rules. The technology is already being used to commit atrocities in Gaza, Myanmar, and Sudan, and every framework discussed is a paper tiger. The core question isn't who writes the rules, but who enforces them when they're broken. Right now, the answer is nobody. Until we build an International Criminal Court for algorithmic war crimes with real teeth, all debates about AI safety are just performance art while the bombs fall. The technology isn't waiting, and neither should the victims.
Reporting timeline
Big Short Investor Steve Eisman Says AI Firms Manufacture Doomsday Panic for Regulation
Steve Eisman, the investor who inspired 'The Big Short,' argues that top AI labs like OpenAI and Anthropic are manufacturing a 'doomsday panic' about AI destroying humanity to push for regulation that would create a duopoly and protect their businesses. Eisman, a senior portfolio manager at Neuberger Berman, claims these companies realize their business has no moat and are trying to create a crisis to manipulate regulation. He points to recent statements from Anthropic researchers and CEOs calling for a slowdown in AI development as evidence. Eisman has reduced his AI investments, describing OpenAI and Anthropic as the 'Achilles' heel' of the industry due to the supply chain's reliance on them. He challenges them to delay their IPOs if the technology is truly dangerous. Fellow 'Big Short' investor Michael Burry shares similar views, calling the push to slow down 'self-serving' and arguing that large language models are not artificial general intelligence.
Read sourceBig Short's Michael Burry Blasts AI Giants' Slowdown Call as Self-Serving Hype
On September 15, Cailian Press reported that leading AI industry figures from OpenAI, Anthropic, and other major companies recently called for slowing down technological development. Renowned investor Michael Burry, known for betting against the housing market in the 'Big Short,' criticized this move as 'self-serving,' arguing it aims to slow rapidly developing competitors and benefit incumbent firms. Burry challenged the fundamental premise, asserting that large language models are not artificial general intelligence (AGI), and therefore there is no AI development that needs slowing. He also suggested that discussing AI's potential dangers helps maintain investor enthusiasm as these companies prepare for IPOs.
Michael Burry Blasts AI Giants' Call for Slower Pace as Self-Serving Hype
On September 15, Cailian Press reported that leading AI companies including OpenAI and Anthropic called for slowing down technological development over the past weekend. Renowned investor Michael Burry, known for the 'Big Short,' challenged this stance, describing the push to decelerate progress as 'self-serving.' He argued that efforts by major AI firms could slow down rapidly growing competitors, benefiting incumbent companies. Burry also questioned the fundamental premise of their argument, asserting that large language models are not AGI, and therefore 'there is no AI whose development needs to be slowed down.' Additionally, he noted that discussing the potential dangers of AI helps maintain investor enthusiasm as these companies prepare for public offerings.
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Michael Burry: AI apocalypse fears shield incumbents and inflate IPO hype
Investor Michael Burry argues that OpenAI and Anthropic are using fears of an AI apocalypse to protect established companies and generate hype for upcoming IPOs. He contends that current large language models will not evolve into artificial general intelligence, so there is no dangerous trajectory worth slowing down. Burry warns that a broadly imposed slowdown, through costly regulations like evaluations and audits, would disproportionately burden smaller competitors and act as barriers to entry for giant labs. He also states that warnings about AI becoming catastrophically powerful inflate perceptions of these companies' importance ahead of public listings and could provide cover for slowing growth.
Read sourceMichael Burry Calls AI Slowdown Hype, Suggests It Aims to Boost IPOs
Investor Michael Burry criticized the push for an AI slowdown as self-serving hype, arguing that executives at OpenAI and Anthropic benefit from portraying their own technology as dangerously powerful. In a post on September 14, 2026, Burry made four objections: large language models are not true AI and will never reach AGI; a pause protects current leaders from rivals; safety warnings serve as promotional material for upcoming stock listings; and talk of a slowdown masks fading growth as IPOs slip away. The criticism followed an essay by Anthropic CEO Dario Amodei urging labs to slow capability gains and host independent evaluators. OpenAI CEO Sam Altman and Elon Musk backed the slowdown plan. Altman ruled out a 2026 IPO for OpenAI, citing safety, while Anthropic is reportedly steering toward a listing this autumn. Neither company is profitable, with Anthropic not expecting to break even before 2028 and OpenAI guiding toward 2030. Burry has expanded his Nvidia short position and bought December calls as a hedge.
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