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The move allows Nvidia to sell its advanced AI chips to China while safeguarding U.S. Interests through a revenue-sharing agreement, marking a unique diplomatic solution to tense tech trade relations between the nations.
President Donald Trump announced on Monday that the United States will allow tech giant Nvidia to ship its H200 artificial intelligence (AI) chips to "approved customers" in China and other countries, under a new policy requiring a 25% revenue share for the U.S. government. Chinese President Xi Jinping reportedly responded positively to the proposal, according to Trump's post on Truth Social.
The decision marks a significant shift in U.S.-China tech relations, which have been strained by concerns over national security and intellectual property. The H200 chip is a high-performance AI processor designed for advanced applications such as machine learning and data centers. Allowing its sale to China could bolster Nvidia's market presence while ensuring a portion of the profits flow back to the U.S. government.

In August, Nvidia and AMD agreed to share 15% of their revenue from chip sales to China with the U.S. government. However, around the same time, reports emerged that China had warned companies against using certain AI chips designed by Nvidia and AMD. The new policy extends the revenue-sharing requirement to 25%, potentially making it more lucrative for both the U.S. government and participating companies.
The H200 chip is a critical component in the rapidly growing AI market, which is projected to reach $190 billion by 2025. Allowing its sale to China could significantly impact the global supply chain and market dynamics. The Department of Commerce is currently finalizing the details of the policy, with similar conditions expected to apply to other major American tech companies.
The Trump administration's decision to allow Nvidia to ship H200 AI chips to China, with a 25% revenue share for the U.S., represents a strategic move to balance economic interests and national security concerns. While it may face scrutiny, the policy could potentially open new avenues for American tech companies in the Chinese market and drive innovation and job creation at home.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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