How the 15% US-China AI Chip Export Deal is Changing Nvidia & AMD’s Future

From ban to billions: The US now takes a 15% profit share from Nvidia’s H20 and AMD’s MI308 AI chip sales to China, blending national security with high-tech trade strategy. This unprecedented policy could redefine global semiconductor exports.

Introduction

The world’s semiconductor industry is no stranger to US-China AI Chip export Deal, and geopolitical maneuvering. But the latest arrangement between the United States government, Nvidia, and AMD could mark the beginning of an entirely new era in how technology trade is regulated — and monetized.

In a first-of-its-kind export agreement, Washington will allow both companies to resume sales of certain advanced AI chips to China — but only under a unique condition: 15% of their China sales revenue from these chips will go directly to the US government.

This is more than a policy adjustment; it’s a blueprint for blending national security concerns with financial incentives.

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The 5-Point Snapshot

15% Revenue Share Nvidia and AMD will hand over 15% of sales revenue from specified AI chips sold in China under special export licences.

From Ban to Bargain – These chips were previously banned under US export rules aimed at curbing China’s military AI capabilities.

Licence-Only Sales – Only chips requiring special government export licences are affected, not all products.

Billions in PlayNvidia’s H20 and AMD’s MI308 chips are vital to AI model training and supercomputing, making China an irreplaceable market.

A Trade Policy Precedent – Could pave the way for similar profit-sharing arrangements in other strategic industries.

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Background: From Full Ban to Strategic Revenue

The US has long been wary of selling advanced chips to China, fearing they could enhance military AI, cryptography, and cyberwarfare capabilities. In 2023, Nvidia designed the H20 chip to comply with earlier restrictions, but even these were banned in early 2025 under the Trump administration.

The result?

  • Nvidia and AMD risked losing billions in sales.
  • China accelerated its push for chip self-sufficiency.
  • US tech dominance faced new competitive threats.

Enter the compromise: a controlled sales model where the government profits while keeping tight oversight.

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How the Deal Works

For Nvidia: A 15% cut of China sales from the H20 AI chip.

For AMD: A matching 15% cut from its MI308 AI chip sales.

Licence Gatekeeping: Only applies to chips that require special export licences; consumer-grade products are excluded.

Reporting Obligations: Both companies must maintain meticulous sales logs, submit them regularly to US authorities, and ensure compliance with usage restrictions.

Where the Money Goes: Funds will be directed toward semiconductor R&D, export control enforcement, and technology security programs.

In effect, the US government becomes a profit-sharing partner in its most sensitive technology exports.

Why It’s Unprecedented

Analysts say this deal straddles the line between trade agreement and state-led business venture.

  • Charlie Dai, VP at Forrester Research, calls it “unprecedented” and warns it could impose “financial pressure and strategic uncertainty” on tech firms.
  • Critics like Deborah Elms of the Hinrich Foundation argue the move undermines the premise of national security bans:

“You either have a national security problem or you don’t. A 15% payment doesn’t make the risk disappear.”

The Politics Behind the Agreement

This deal didn’t happen overnight. Nvidia CEO Jensen Huang engaged in months of behind-the-scenes lobbying, holding talks with both US and Chinese officials, and even meeting President Donald Trump last week.

The timing is also significant:

  • The US and China are in a 90-day tariff truce (expiring August 12, 2025).
  • Beijing recently relaxed rare earth export controls.
  • Washington eased restrictions on certain chip design software for China.

This agreement serves as a signal of tentative trade de-escalation, even amid fierce tech competition.

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Why China Matters for Nvidia and AMD

China is the second-largest economy and a major buyer of AI hardware.

  • The H20 and MI308 are critical for large language model (LLM) training, cloud computing, and high-performance supercomputers.
  • Without these chips, China’s AI development would face delays — potentially giving US firms and allies more time to consolidate leadership.
  • For Nvidia and AMD, regaining China’s market — even with a 15% revenue cost — safeguards billions in potential earnings and keeps their tech embedded in Chinese infrastructure.

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Implications for the Future

This 15% US-China AI Chip Export Deal could reshape global technology trade policy in several ways:

Profit-Linked Export Control – Governments could adopt similar revenue-sharing conditions in other high-tech sectors.

Precedent for Strategic Sectors – From green energy to biotechnology and quantum computing, sensitive exports could face revenue-sharing clauses.

Political Price Tag for Tech Access – Countries may increasingly find that cutting-edge US technology comes with both a financial and geopolitical cost.

Incentive to Maintain Market Ties – Even under tension, mutual economic benefits can encourage controlled cooperation.

Acceleration of Tech Independence – China is likely to double down on domestic AI chip development to reduce dependence.

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Conclusion

The Nvidia–AMD 15% US-China AI chip deal represents more than a clever workaround to an export ban. It’s a strategic balancing act — protecting US security interests, sustaining corporate profits, and generating government revenue all at once.

If successful, it could serve as a new model for tech trade, where regulation isn’t just about blocking sales but shaping them for both control and profit.

This may be the first deal of its kind, but with the stakes in AI, quantum, and biotech only rising, it almost certainly won’t be the last.

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Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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