Nvidia's Jensen Huang tells Trump he opposes slowing AI development

Nvidia CEO Jensen Huang met with President Trump and voiced his opposition to pausing or slowing AI progress, saying his company will not allow a slowdown to occur. His position contrasts with that of Anthropic's Dario Amodei, whose calls for caution have drawn support from Elon Musk and Sam Altman. The exchange highlights the split among tech leaders over whether frontier AI development should be decelerated.

AI executives and politicians split over Amodei's call to slow frontier development

Anthropic's Dario Amodei published a lengthy essay arguing that frontier AI work should be deliberately slowed, prompting a wave of public reactions. Other AI company leaders and elected officials have since weighed in both for and against his position, which The Verge has gathered into a roundup.

Trump rejects calls for AI development pause, criticizes Anthropic CEO

US President Donald Trump pushed back against proposals to slow down AI development, arguing that halting progress would mainly benefit China. The exchange with Anthropic's chief executive comes ahead of a planned Trump-Xi summit set for late September, which the AI debate is overshadowing.

China rejects US calls to block its AI industry as spy chief flags party risk

Beijing pushed back on appeals for Washington to hinder China's AI development, calling such arguments alarmist. The response came after Anthropic's chief executive urged US action to slow China's progress in the field. Separately, China's top intelligence official said advancing AI could pose a challenge to Communist party governance.

Anthropic CEO Dario Amodei urges slower pace of LLM development

In a weekend essay, Anthropic CEO Dario Amodei argued for restraining how quickly large language models are built, pointing to risks he believes the technology poses. The piece adds to a broader shift in the AI industry toward warnings about catastrophic outcomes, prompting debate over what should follow.

Altman, Musk and Hassabis Back Amodei's Call for Independent AI Oversight

Three prominent AI executives have publicly supported Anthropic CEO Dario Amodei's argument for independent oversight of frontier AI development, with varying degrees of agreement on slowing progress. Sam Altman reportedly said OpenAI is delaying its stock market debut to 2027 because of safety considerations. The backing signals growing consensus among lab leaders on external governance of advanced models.

Anthropic CEO Amodei calls for slower AI development and shared safety rules

Dario Amodei published a proposal urging the AI industry to deliberately slow its pace, warning that recursive self-improvement could soon outstrip human oversight. His three-part plan includes independent or embedded auditors at AI labs, common safety standards across companies, and international agreements similar to arms-control treaties. He said Anthropic would commit to the approach, though details on enforcement remain unclear.

WHY IT MATTERS ↘A unilateral slowdown by a leading lab only holds if rivals and state-backed players adopt the same constraints, so Anthropic is effectively trading near-term competitive position for a governance regime it hopes will become the industry baseline. The practical near-term effect is likely not slower capability work but new compliance overhead—auditors, shared standards, and reporting requirements—that will shape procurement, hiring, and release timelines across labs regardless of whether the voluntary pause itself survives.

Anthropic economic model includes scenario with 17.9% knowledge worker unemployment by 2030

Anthropic published an economic model with three scenarios for the US economy through 2030. In the most extreme scenario, output doubles every 4.5 years and knowledge worker unemployment reaches 17.9%. CEO Dario Amodei's earlier warnings about AI job displacement fall within this extreme scenario.

Anthropic economic model treats CEO's bleak job forecasts as extreme case

Anthropic has published an economic scenario model projecting three possible paths for the US economy through 2030. In the most extreme case, output would double every 4.5 years while unemployment among knowledge workers climbs to 17.9%. The company presents that outcome as a worst-case scenario rather than a likely baseline.