Full Breakdown
Trump Pushes Back on AI Slowdown Amid Market Turbulence
By Drooid · · How we work
Trump's Public Opposition to AI Slowdown
President Donald Trump told a crowd in Ireland on September 13 that the United States “leads China in artificial intelligence” and that “whoever wins AI, wins.” Trump also claimed that communities would die without data centers but are now “really wealthy,” though he offered no specifics. His remarks directly countered a safety-focused essay published on September 12 by Anthropic CEO Dario Amodei, which called for a paced slowdown of frontier-model development.
Interaction with Nvidia CEO Jensen Huang
During the All-In Podcast’s All-In Summit, Trump placed the president on speakerphone while Jensen Huang, chief executive of Nvidia, addressed the audience. He also appealed to the president by noting the size of the audience, describing it as “thousands” of people.
Policy Landscape and Export Controls
Trump’s comments did not reference any changes to U.S. export policy for advanced chips. The U.S. Department of Commerce continues to regulate high-performance computing exports on national-security grounds. Under rules slated to take effect in January 2026, products such as Nvidia’s H200 and AMD’s MI325X will be subject to case-by-case license reviews, with requirements for capacity guarantees and third-party testing. No comprehensive federal AI safety framework has been enacted yet.
Market Reaction and Demand Outlook
Asian trading on September 14 saw AI-related equities tumble: SoftBank fell 11 %, SK Hynix and Kioxia each dropped more than 6 %, and Samsung Electronics slipped 4.05 %. Despite the volatility, Nvidia and major HBM suppliers have not revised their demand forecasts. House Speaker Mike Johnson echoed Trump’s stance, warning that a pause could let China overtake the U.S. in the technology race and urging industry leaders to discuss safety measures with Congress and the White House.
Outlook and Uncertainties
Jensen Huang is slated to speak at the Goldman Sachs Communacopia + Technology Conference on September 10, where he is expected to reaffirm projections that global AI infrastructure spending could reach $3 trillion to $4 trillion by 2030. The market will continue to monitor how any future AI safety regulations, export-license requirements, or shifts in cloud-provider capital spending affect GPU and HBM demand.