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Trump Defends Deregulation Strategy as AI Industry Calls for Slowdown

White House signs voluntary pact with tech leaders, rejecting formal oversight as safety concerns intensify

Trump Defends Deregulation Strategy as AI Industry Calls for Slowdown

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Trump and tech executives signed a voluntary AI safeguards accord, doubling down on self-regulation as Anthropic, OpenAI, and Microsoft call for formal…

White House Doubles Down on Self-Regulation

President Trump gathered AI executives at the White House on Tuesday to sign a voluntary accord promising greater safeguards for artificial intelligence. The event reaffirmed his administration's rejection of formal government regulation, even as the industry's own leaders have spent the past two weeks warning that frontier models could pose existential risks.

Trump announced the accord after a luncheon with Nvidia CEO Jensen Huang and Elon Musk. The pact calls for self-policing rather than federal mandates. It arrives as the administration faces unusual pressure from its own allies in Silicon Valley, where the consensus on safety has shifted markedly in recent months.

The president has framed his position around competitive dynamics with China. He told the United Nations General Assembly last week that his administration would oppose any globalist scheme to control AI. The core argument: if the U.S. slows down, Beijing won't.

Industry Splits With the White House

Anthropic CEO Dario Amodei published an essay two weeks ago urging AI companies to slow their pace of development. The call came after two safety researchers, Jacob Coxon and Joe Benton, resigned from his lab citing fears that AI systems could potentially kill all humans. Amodei proposed a framework for auditing and regulating AI without sacrificing commercial advantage or harming national security.

OpenAI CEO Sam Altman and Elon Musk took the rare step of publicly agreeing with Amodei. Bill Gates added his voice, cautioning on NBC that frontier AI carries enough power to trigger catastrophic events. These are not fringe academics or regulators. They are the people building the technology, and they are asking for oversight.

The split creates an awkward position for the White House. Trump dismissed AI safety concerns as a hoax on Truth Social earlier this month. But the people disagreeing with him include some of his most prominent backers in tech.

The Sacks Response

David Sacks, Trump's former AI czar and a venture capitalist with investments in AI startups, has led the administration's pushback. He has repeatedly criticized what he calls Anthropic's regulatory capture campaign, arguing that the two leading model developers should police themselves rather than asking the government to do it.

In a weekend post responding to Amodei's essay, Sacks wrote that if unreleased models are scary enough that companies think they should slow down, he supports their decision to be responsible. The message: act on your own, but don't drag the government into it.

The friction reflects a deeper divide in how tech leaders view the role of the state. Sacks and the deregulation camp see government involvement as a competitive liability. Amodei, Altman, and Gates see it as a necessary backstop against runaway systems that even their creators may not fully understand.

OpenAI Shelves New Model Over Safety Concerns

The voluntary accord landed the same week OpenAI scrapped the release of a new AI model over safety concerns. The company did not disclose specifics, but the decision underscores the tension between rapid commercialization and internal red lines that even the most aggressive developers are reluctant to cross.

OpenAI has been navigating this tension for months. The company needs to grow fast enough to justify valuations approaching a trillion dollars. At the same time, it faces intensifying questions from its own researchers about whether the technology is advancing faster than safety protocols can accommodate.

The shelved release gives weight to the argument that formal oversight may be less disruptive than critics claim. If companies are already pausing internally, a structured framework might simply codify what responsible actors are already doing.

Market and Political Implications

AI names have been volatile since the Amodei essay dropped. Nvidia, the clearest beneficiary of accelerating AI investment, saw shares slip 3% over the past week as investors weighed the possibility that safety debates could slow data center buildouts. The broader semiconductor complex has traded in sympathy.

The political stakes are rising. Bipartisan appetite for oversight means that even if the current White House holds the line, the next Congress might not. Voters across the populist base have increasingly voiced skepticism toward AI and the massive capital flows funding its expansion. The 2026 midterms will test whether that skepticism translates into legislative pressure.

AI industry PACs have mobilized aggressively, spending against candidates perceived as hostile to their interests. The playbook mirrors the crypto industry's 2024 campaign. Whether it works depends on whether safety concerns remain abstract or become concrete before November.

What to Watch Next

The voluntary accord is a framework, not a binding rule. Its durability depends on whether signatory companies honor its terms when doing so becomes inconvenient. The first test will be the next major model release from any of the leading labs.

The approaching Trump-Xi summit adds another dimension. Any bilateral agreement on AI cooperation or containment would reshape the competitive argument that underpins the administration's deregulation stance. If the U.S. and China reach even a modest understanding on safety protocols, the case for domestic regulation becomes harder to dismiss.

Watch the [Whale Alerts dashboard](/whalealerts) for unusual options activity in Nvidia and other AI infrastructure names. Large premium flows into puts ahead of policy announcements have been a reliable signal of institutional positioning. The next read comes when Congress returns from recess in mid-October.

For informational purposes only. Not investment advice. Published Wednesday, September 30, 2026.