Washington and Beijing have signaled a rare alignment on artificial intelligence governance, removing a key regulatory overhang for AI hardware makers and infrastructure investors. During Chinese President Xi Jinping's September 23–25 U.S. visit, President Donald Trump said both nations favor leaving advanced AI "exactly where it is" and oppose binding international safety rules. The White House state dinner included Nvidia CEO Jensen Huang, OpenAI CEO Sam Altman, Apple CEO Tim Cook and Tesla CEO Elon Musk, reinforcing the market message that frontier AI development will remain largely unencumbered by multilateral oversight.
Trump also directed federal agencies to replace "artificial intelligence" with "Super Intelligence" in official documents, dismissing catastrophic AI safety warnings as a "hoax" and rejecting global oversight as a "globalist scheme." The stance aligns Washington with Beijing's refusal to sign binding safety treaties and is being read by investors as a green light for accelerated data center and chip supply chain spending.
The pivot matters for Nvidia, which has struggled to convert its U.S. export licenses for H200 chips into meaningful China sales. In its latest quarterly filing, Nvidia said H200 shipments under the licensing program accounted for less than 1% of data center revenue for the quarter ended July 26. The company also took a $400 million charge in the first half of the fiscal year tied to excess H200 inventory and purchase obligations. Nvidia said Chinese government restrictions and a 25% U.S. import tariff on licensed chips passing through U.S. inspection have prevented it from selling all permitted H200 products.
Even without a China rebound, Nvidia's data center revenue reached $89 billion in the latest quarter, up 117% year over year. The broader AI infrastructure boom is supported by Big Tech hyperscaler capex of roughly $150 billion per quarter, with more than 75% allocated to GPU infrastructure, custom ASICs and power buildouts. According to figures cited in the coverage, the global AI accelerator market is forecast to surpass $200 billion in 2026, up from about $115 billion in 2025, while Goldman Sachs estimates total global AI capital spending could reach about $1 trillion in 2026.
For crypto markets, the immediate direct exposure is limited because no major digital asset is named in the Nvidia or US-China policy update. However, AI-focused digital assets may see sentiment spillover from the removal of international AI compliance risk and continued aggressive spending on high-performance computing. Broader risk appetite could also benefit from a market narrative centered on capital efficiency and raw compute rather than regulatory approval processes.
