Trump Calls Jensen Huang to Say AI Danger Theory Is a Scam
On September 14, at the All-in Summit in Los Angeles, Jensen Huang was on stage speaking with a host when his phone rang. He answered and switched to speakerphone; the caller was Donald Trump. The moment had a strong performative quality, but the substance of the call was real. Trump's remarks were not a formal policy announcement, but they carried clear political and economic implications.
Trump was blunt: "This is all a scam." He said data centers are great, that they make people rich and states rich. He called data centers the oil of the next 20 to 25 years. He then said robots will not take over everything, and AI will not take over the world.
He added a caveat: even so, people have to be a little careful, have to act, and have to act prudently—but that does not mean stopping an industry. His final line was that he fully supports Huang and his team.
Huang's response picked up the deceleration theme. He said Nvidia would ensure that the United States benefits in the AI race for everyone—every industry, every company, every state, and every person. He added that Trump was right: they would not let AI deceleration happen. The remark came directly from the CEO of Nvidia, whose chips power most advanced AI models.
That statement followed a recent industry discussion. Anthropic CEO Dario Amodei had just released a proposal suggesting AI companies voluntarily slow the development of increasingly powerful models, because alignment research is not keeping pace with capability growth. OpenAI CEO Sam Altman and more than 1,300 tech employees had earlier made similar calls.
Trump's position on the call was the opposite. He framed the AI danger theory as a scam and data centers as the oil of the coming decades. Together, those two labels point toward continued acceleration rather than deceleration. The call also came amid growing debate over AI safety; while some researchers and executives have urged caution, Trump's remarks aligned with a push to accelerate AI infrastructure and maintain U.S. competitiveness.
The weight of the episode lies less in the call itself than in its dissemination effect. A live speakerphone call has greater dissemination impact than any policy statement. Trump chose to call into Huang's public conversation and to say the AI industry should keep running; the signal is clear. AI infrastructure investment, data center construction, and chip supply will be placed in a supportive rather than restrictive position in the current policy context. The performance was part of the message: it reached an audience far beyond a written statement.
Huang's statement that he would not let AI deceleration happen carries weight coming from Nvidia's CEO. It reflects not only a technology roadmap but also the commercial interests of the entire compute supply chain. Deceleration would mean slower growth in chip demand; acceleration means demand keeps rising.
Trump's analogy of data centers as the oil of the next 20 to 25 years places AI infrastructure in the position of energy strategy, rather than treating it as a new technology that requires caution. In the conversation, no one mentioned alignment research, safety evaluation, or third-party audits. The absence of those terms is notable. In a conversation about AI's future, the focus remained on investment, infrastructure, and speed. The subtext was that AI development should continue without the delays that safety-focused proposals might introduce.