Nvidiaās Jensen Huang says White House declaration has major impact on AI industry
Trump's voluntary self-regulation accord with top AI executives signals a hands-off approach that could reshape the competitive landscape for American tech firms
Jensen Huang just got exactly what he wanted from Washington. The Nvidia CEO joined a lineup of AI’s biggest names at a White House luncheon on September 29, where President Trump unveiled a voluntary self-regulation accord that effectively tells the industry: police yourselves, we’re staying out of the way.
The White House lunch that could define AI policy for years
The guest list read like a tech power summit. Elon Musk of xAI and Tesla, OpenAI’s Greg Brockman, and Google CEO Sundar Pichai all sat down with Trump to hash out the future of AI governance in America. The result was a collective agreement to self-regulate rather than submit to prescriptive government mandates.
Trump compared the significance of AI to the industrial revolution. He also floated the idea of rebranding AI technology as “super intelligence” and pledged that the US would “never stifle” its growth.
Treasury Secretary Scott Bessent reinforced the administration’s stance, confirming that Trump is “completely aligned” with Huang’s views on AI policy.
Huang’s growing influence in Washington
Huang played a key role in influencing adjustments to export rules that allowed limited sales of advanced chips, including the H200, to Chinese buyers. The arrangement came with a condition: a 25% cut to US revenue from those sales.
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His advocacy has consistently centered on two themes: market-driven safety measures and maintaining American dominance in AI technology. Both priorities were reflected in the September 29 accord, which emphasized innovation speed over regulatory caution.
What self-regulation means for markets and investors
For investors, the key themes from the meeting, including AI hardware, policy direction, exports, and regulation, all point toward continued momentum for US tech companies.
The risk scenario is equally clear. If a major AI safety incident occurs under a self-regulation framework, the political backlash could be severe and swift, and the companies that built their strategies around regulatory freedom would be the most exposed.