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Trump says AI needs no guardrails beyond a strong president, as industry leaders call for slowdown

President Trump posted on Truth Social on September 14 that artificial intelligence needs only one guardrail, a "STRONG AND SMART (High IQ!) PRESIDENT," rejecting calls for new laws or agencies and singling out Anthropic CEO Dario Amodei by name. The post followed Trump's June 2026 executive order encouraging voluntary pre-release sharing of advanced AI models with the government, and it came as Sam Altman and Elon Musk publicly urged a slowdown in advanced AI development over safety concerns. Nvidia shares fell 4% premarket and AMD dropped 2.5% in morning trading as semiconductor stocks reacted to the regulatory uncertainty.

read3 min views1 publishedSep 15, 2026
Trump says AI needs no guardrails beyond a strong president, as industry leaders call for slowdown
Image: Cryptobriefing (auto-discovered)

The president took aim at Anthropic's Dario Amodei while semiconductor stocks dipped on regulatory uncertainty.

President Trump posted on Truth Social on September 14 that artificial intelligence requires exactly one guardrail: a “STRONG AND SMART (High IQ!) PRESIDENT.” No new laws, no new agencies, no new compliance frameworks.

The post arrived as several of the most powerful figures in AI, including Sam Altman and Elon Musk, have been publicly calling for a slowdown in the development of advanced AI systems over safety concerns. Trump’s response was to reject that entire premise, framing it as something between naivety and sabotage.

Amodei in the crosshairs #

Trump didn’t just push back on the idea of AI regulation in the abstract. He singled out Anthropic CEO Dario Amodei by name, accusing him of misleading the public about the risks of artificial intelligence.

In Trump’s telling, Amodei’s advocacy for cautious AI development amounts to a “SICK conspiracy” that would slow American innovation and ultimately hand the AI race to China.

Anthropic, for context, is one of the leading AI safety-focused companies in the world. Amodei has repeatedly argued that frontier AI models could pose catastrophic risks if deployed without adequate testing and oversight. His company builds large language models with safety as a stated design priority.

The executive order that came before #

Trump’s post didn’t emerge from a policy vacuum. In June 2026, the president signed an executive order encouraging companies developing advanced AI models to voluntarily share them with the government before public release. The keyword there is “voluntarily.” No mandates, no penalties for non-compliance, no independent auditing requirements.

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Elon Musk, who runs the AI company xAI, has been among those calling for more caution in AI development.

Markets flinch #

The semiconductor sector didn’t love any of this. Nvidia shares declined by 4% premarket after Trump’s post. AMD saw a drop of 2.5% in the morning trading session following regulatory announcements.

The concern isn’t necessarily that Trump will impose rules. It’s that the absence of a coherent regulatory framework creates its own kind of risk. Companies making multi-billion-dollar investments in AI infrastructure want to know what the rules will look like in two, five, and ten years.

What this means for the AI landscape #

For companies like Anthropic, Google DeepMind, and even OpenAI, this tension affects hiring, product timelines, and relationships with enterprise customers who increasingly want to know that the AI tools they’re buying have been vetted for safety. A CEO who publicly calls for regulation and gets labeled a conspirator by the president of the United States faces a different calculus when deciding how loudly to advocate for responsible development. The crypto and digital asset sector has its own reasons to watch this closely. AI agents are increasingly being integrated into DeFi protocols, trading systems, and on-chain applications. The question of who is liable when an autonomous AI system makes a consequential financial decision, and whether any regulatory body has the authority to impose standards on those systems, is not academic. It’s already playing out in real deployments.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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