Nvidia CEO Jensen Huang is lobbying US lawmakers to put AI regulation in federal hands rather than leaving it to individual states. The visit lands while Nvidia projects up to $1 trillion in orders for its next-generation chip systems through 2027.
Jensen Huang has taken Nvidia's AI policy case to Capitol Hill, meeting US lawmakers to argue that the federal government, not individual states, should write the rules for artificial intelligence.
His argument rests on fragmentation. A patchwork of 50 different rule sets would create national security vulnerabilities and slow the innovation that keeps the US ahead of China in the AI race, he says.
The campaign behind the Capitol Hill visit
The lawmaker meetings extend a wider push. Huang met President Trump in early December 2025 to discuss export controls on advanced chips, joined the White House AI Action Day, and accepted appointments to advisory boards shaping AI policy.
He has also stopped framing AI as an open question. At Nvidia's June 2026 annual shareholder meeting, according to Crypto Briefing, Huang declared: "the AI debate is over." His point was that AI has moved from theoretical promise to practical infrastructure.
Nvidia projects up to $1 trillion in orders through 2027
Behind the policy work sits a demand forecast. Nvidia projects up to $1 trillion in orders for its upcoming Blackwell and Vera Rubin chip systems through 2027 — roughly equivalent to the entire GDP of the Netherlands.
The ideological case runs alongside the commercial one. In July 2026 Huang highlighted open-weights AI models as a pathway to maintaining American leadership in the field.
Why crypto miners are watching
Nvidia's GPUs have long been central to crypto mining operations, and the company's pivot toward AI has not severed that relationship. AI tokens, decentralized compute networks, and protocols using machine learning for on-chain analytics all rely on the same GPU infrastructure Nvidia dominates.
Federal rules could therefore cut both ways for crypto-AI projects. A coherent national framework might give institutional investors the clarity they want before committing capital to AI-adjacent tokens and protocols, while overly restrictive rules could throttle the permissionless innovation that makes decentralized AI projects appealing.
Supply is the other pressure point. If Nvidia funnels its best chips toward enterprise AI clients with $1 trillion in orders on the books, that could squeeze availability for smaller buyers, including mining operations and decentralized compute networks.
Source: Crypto Briefing
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