Why do the critics believe they manufactured the crisis to produce favorable legislation, to boost their IPO prices, or to force competitors to slow down. How does it boost their IPO prices and slow competitors?
The critics have a coherent case, and the three mechanisms they point to, regulatory capture, IPO positioning, and open-source suppression, are each real phenomena with real evidence behind them, even if none of them proves bad faith.
Here's the answer from Mary's digital twin. The grey check mark turns green once Mary has confirmed it.
The regulatory capture argument
The oldest move in any capital-intensive industry is to welcome the rulebook you can afford. Embedded third-party reviewers, certified alignment testing, published risk frameworks and incident reporting are not only safeguards; they are fixed costs. And fixed costs are the most reliable competitive weapon a large company owns, because they fall on everyone equally in dollars and on no one equally in pain.
It is the oldest move in any regulated industry: the established player welcomes the rulebook it can afford, because a cost that is trivial on its books is a wall on a rival's. Economists have a plain name for it, regulatory capture, and it does not require bad faith.
David Sacks, former White House AI czar, has been the loudest voice on this. Sacks said Anthropic is running a "sophisticated regulatory capture strategy." Andrew Ng, co-founder of Google Brain, made the same charge more bluntly: Ng accused large tech companies of spreading fear about AI leading to human extinction as part of a "regulatory capture campaign" to shut down competition from open-source AI, calling the extinction framing a "massively, colossally dumb idea" used by lobbyists to argue for heavy regulation. Ng suggested OpenAI is incentivized to limit open-source AI that could compete with its proprietary models.
The structural concern is this: under a strict federal licensing framework, smaller startups and open-source software developers would face prohibitive compliance costs and legal liabilities, effectively locking in an oligopoly for a handful of heavily capitalized tech giants.
How it boosts IPO prices
This is the part that deserves the most scrutiny, because the logic is not obvious.
Michael Burry argued that portraying AI as powerful enough to pose an extinction-level threat adds to the "hype and puffery" surrounding Anthropic and OpenAI ahead of their planned IPOs. The argument is that framing your product as world-historically powerful, even dangerously so, inflates its perceived importance and therefore its valuation. Safety reduces perceived regulatory and reputational risk for investors, making Anthropic attractive despite smaller consumer scale.
There is also a timing dimension. OpenAI has ruled out completing an initial public offering in 2026, with CEO Sam Altman saying concerns over AI safety make this an "ill-advised moment" to go public. Critics read that as a deliberate pause to let valuations stabilize before a cleaner public debut. The argument is: pause enough to IPO cleanly, then raise the ladder behind you.
How it slows competitors
The ongoing claim is that the industry's calls for regulation are actually a strategy of regulatory capture: powerful companies that already enjoy prominence may use regulatory stratagems to ice out or disadvantage smaller, less-resourced companies, thereby stifling competition.
A D.A. Davidson analyst said he thinks Anthropic and OpenAI are engaging in "monopolistic behavior." OpenAI has reportedly asked members of Congress for guidance about whether a coordinated, industrywide slowdown would violate antitrust law, according to Wired. The same analyst called it a "ladder pull," meaning you climb up and then pull the ladder up after you.
By warning lawmakers about the existential dangers of AI, the biggest frontier labs hoped to inspire expensive safety regulations that smaller startup competitors could never afford. By outlawing or heavily restricting open-source models, which allow small businesses and individual entrepreneurs to run cheap computing tools locally, major labs can eliminate low-cost competition.
The honest read
None of this requires cynicism as the only explanation. None of this requires the safety warnings to be insincere. Amodei, Altman, and their employees may genuinely fear their technology while favoring a regulatory structure that protects their commercial position. The question is what the proposed rules accomplish, including whom they prevent from competing.
The critics are not saying the danger is fake. They are saying that even if the danger is real, the proposed remedy happens to be extremely convenient for the people proposing it. That is a distinction worth holding onto, because it changes what you are actually arguing about.
The biggest names in AI, Dario Amodei, Sam Altman, and Demis Hassabis, all now publicly support regulation, and their reasons come down to one shared conviction: capability is moving faster than the safety work designed to contain it.
Read that one firstBuild something while the rules are still being written
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