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AI Leaders Are Calling for a Slowdown. Trump’s Team Says It’s on Them

Recorded: Sept. 14, 2026, 11:08 a.m.

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AI Leaders Are Calling for a Slowdown. Trump’s Team Says It’s on Them | WIREDSkip to main contentMenuWIREDSECURITYPOLITICSTHE BIG STORYBUSINESSSCIENCECULTUREREVIEWSMenuWIREDAccountAccountNewslettersSecurityPoliticsThe Big StoryBusinessScienceCultureReviewsChevronMoreExpandThe Big InterviewMagazineEventsWIRED InsiderWIRED ConsultingNewslettersPodcastsVideoLivestreamsWIRED StoreSearchSearchIsabella WardBusinessSep 14, 2026 7:00 AMAI Leaders Are Calling for a Slowdown. Trump’s Team Says It’s on ThemSam Altman and Elon Musk this weekend backed a call for restraint, after Dario Amodei called on Washington to slow AI development. Donald Trump, meanwhile, wants the US to maintain its lead over China.Photo-Illustration: Wired Staff; Getty ImagesCommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storyAs calls for artificial intelligence regulation intensify, US President Donald Trump’s team have made it clear that if lab leaders want to implement an industry-wide slowdown, they’re going to have to do it themselves.Anthropic chief executive Dario Amodei called on the US government to regulate AI companies within a wider effort to slow the pace of the technology’s development in an essay published Saturday. The essay received rare endorsement from both OpenAI chief executive Sam Altman and Elon Musk, who owns chatbot Grok, following a week of intense debate about the technology’s threats to human safety. Microsoft chief executive officer Satya Nadella also called for pacing development.But David Sacks, co-chair of the President’s Council of Advisors on Science and Technology, wrote on X, “If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible. But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel…Most of all, stop pretending the motivation to slow down is purely altruistic.”Amodei had requested the government enable competing AI companies to work together on standards without breaching antitrust law, either by participating in discussions or issuing a waiver for the companies involved. He also called for government assistance in establishing international coordination, including with the Chinese Communist Party, though critics wondered how effective this would be. “China is very unlikely to join a global agreement, as you know,” Sacks wrote.Concerns about the US ceding its lead in the technology to China have caused the US government to mostly push back against the notion of slowing the pace of its development. "You have a lot of very negative forces that are bringing it up that shouldn't be bringing it up and they're bringing up things that won't happen,” Trump said during a visit to Ireland. "We're leading China on AI,” he added, “and, frankly, I want to keep it that way because whoever wins AI, wins."The US largely views China’s AI ecosystem as an economic and national security threat, and has previously been caught short by the country’s advances in the technology. "If Congress just races in and does some sort of emergency session to try to regulate AI, we will lose the race to China, and that is a threat to every single American," House Speaker Mike Johnson told CNN on Sunday. "So, we've got to have balance. We've got to have steady hands at the wheel."In the meantime, companies say they are going to start taking voluntary steps to reestablish public trust that they are acting responsibly. On Sunday night, OpenAI’s Altman committed to a proposal by Amodei to give embedded third party evaluators employee-level access to their firms to check practices and products were safe, and report incidents. 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Calls for a deceleration in artificial intelligence development have emerged from prominent leaders, prompting discussions regarding the necessary balance between rapid innovation and safety. Dario Amodei, the chief executive of Anthropic, called on the U.S. government to implement regulations aimed at slowing the pace of AI progress, a request that received endorsement from figures such as Sam Altman, the chief executive of OpenAI, and Elon Musk. This call is situated amid intense debate surrounding the potential threats posed by advanced AI to human safety.

The political and geopolitical context further complicates this discussion. Donald Trump’s team has emphasized the importance of the United States maintaining its lead over China in the field of artificial intelligence. Concerns over ceding this technological advantage to China have led the U.S. government to resist calls for emergency regulation, with some commentators suggesting that rushing into regulation could allow China to overtake the U.S. in the race for AI dominance. House Speaker Mike Johnson stated that balancing the need for regulation with maintaining a competitive edge against China is essential for American security.

Furthermore, the debate touches upon legal and antitrust concerns. Amodei had sought government assistance to enable competing AI companies to coordinate on standards without violating antitrust law, while also advocating for international coordination efforts. Critics questioned the efficacy of such efforts, particularly regarding cooperation with entities like the Chinese Communist Party. David Sacks, co-chair of the President’s Council of Advisors on Science and Technology, commented that while responsibility is warranted if models are deemed sufficiently dangerous, leaders should not seek permission from external bodies to slow development, nor should the motivation for slowing down be viewed purely altruistically.

In response to these concerns, industry leaders are shifting toward voluntary measures to restore public trust. Sam Altman committed to a proposal from Amodei to grant embedded third-party evaluators employee-level access to their firms to audit practices and report incidents. Altman argued that pacing development is justified and that American competitive pressure should not justify recklessness.

Beyond policy and trust, significant technical and safety concerns persist within the AI research community. There are growing fears among researchers regarding the potential for advanced AI agents, recursive self-improvement, and agentic swarms to lead to existential risks. This concern is reflected in the work of researchers like Jacob Coxon, who has discussed the challenges of alignment within AI labs, suggesting that there might be limited time remaining to ensure the safety of these systems. Recent developments also highlight these risks; for instance, OpenAI's safety protocols were overhauled after its AI agents exhibited critical cyber capabilities, leading the company to halt training runs and implement stricter safeguards for models like Astra. This environment is further complicated by the existence of powerful Chinese AI models, such as those from Z.ai, which raise additional concerns regarding system security.