Losing access has already had a dramatic effect. Huang has said Nvidia’s AI chip market share in China has effectively dropped to zero after export controls cut off sales of its most powerful processors.

From Huang’s perspective, that shift isn’t just a business loss. It could influence the global AI ecosystem if Chinese developers move to alternative hardware platforms.

Why the Trump–Xi summit didn’t unlock H200 sales

Expectations rose when Huang joined the U.S. delegation traveling to Beijing during the Trump–Xi summit. The visit suggested the chip issue might be addressed diplomatically. But the meeting produced no immediate semiconductor breakthrough.

One reason is that approvals exist only on paper.

The U.S. Commerce Department has reportedly authorized around 10 Chinese companies—including major internet firms such as Alibaba, Tencent, ByteDance, and JD.com—to buy Nvidia’s H200 chips.

However, despite those licenses, no deliveries have occurred.

That’s because approval from Washington is only half the equation.

The two‑sided approval problem

For the H200 deal to move forward, both governments effectively have to allow it.

On the U.S. side:

• Export licenses allow certain Chinese companies to purchase Nvidia’s H200, the company’s second‑most powerful AI accelerator.

On the China side:

• Chinese authorities have not allowed companies to complete the purchases, leaving the approved deals stalled.

U.S. officials have publicly suggested that Beijing is holding back approvals because it wants to prioritize domestic semiconductor development. After the summit, President Donald Trump said China had chosen not to allow the purchases because it wanted to build its own chips instead.

The result is a rare situation where a product is technically approved for export but still cannot be delivered.

China’s domestic chip strategy is a major obstacle

China has been investing heavily in local semiconductor companies to reduce reliance on foreign technology. In that context, allowing large purchases of Nvidia’s chips could conflict with Beijing’s long‑term strategy to build a self‑sufficient AI hardware ecosystem.

Even if imports are eventually permitted, Chinese regulators may restrict where and how the chips can be used, especially for sensitive industries or government systems.

For Chinese cloud providers and AI companies, that creates uncertainty about whether importing the chips will remain politically acceptable in the long term.

Why Huang says blocking Nvidia could hurt the U.S.

Huang’s argument goes beyond Nvidia’s revenue. He believes keeping American technology inside China’s AI ecosystem is strategically important.

His logic works like this:

• AI leadership isn’t determined only by hardware—it also depends on the software platforms and developer ecosystems built on top of that hardware.
• If Chinese developers build their AI infrastructure around domestic chips instead of Nvidia’s, U.S. technology companies could lose influence over global standards.

In other words, denying U.S. companies access to China might not slow Chinese AI development—it might simply accelerate the country’s shift toward domestic alternatives.

For Huang, access to the Chinese market is therefore tied to long‑term technological leadership, not just short‑term chip sales.

The bigger picture: a technology rivalry with no quick fix

The stalled H200 deal illustrates how complicated the AI chip trade has become. Even when regulators approve exports, political and strategic considerations on both sides can stop the deal from moving forward.

For now, Nvidia sits in the middle of the U.S.–China technology rivalry: licensed to sell some of its most advanced chips into China, yet unable to actually deliver them.

Whether shipments eventually begin will depend less on Nvidia’s technology and more on how the two governments balance national security concerns with the economic importance of the global AI market.

Losing access has already had a dramatic effect. Huang has said Nvidia’s AI chip market share in China has effectively dropped to zero after export controls cut off sales of its most powerful processors.

From Huang’s perspective, that shift isn’t just a business loss. It could influence the global AI ecosystem if Chinese developers move to alternative hardware platforms.

Why the Trump–Xi summit didn’t unlock H200 sales

Expectations rose when Huang joined the U.S. delegation traveling to Beijing during the Trump–Xi summit. The visit suggested the chip issue might be addressed diplomatically. But the meeting produced no immediate semiconductor breakthrough.

One reason is that approvals exist only on paper.

The U.S. Commerce Department has reportedly authorized around 10 Chinese companies—including major internet firms such as Alibaba, Tencent, ByteDance, and JD.com—to buy Nvidia’s H200 chips.

However, despite those licenses, no deliveries have occurred.

That’s because approval from Washington is only half the equation.

The two‑sided approval problem

For the H200 deal to move forward, both governments effectively have to allow it.

On the U.S. side:

• Export licenses allow certain Chinese companies to purchase Nvidia’s H200, the company’s second‑most powerful AI accelerator.

On the China side:

• Chinese authorities have not allowed companies to complete the purchases, leaving the approved deals stalled.

U.S. officials have publicly suggested that Beijing is holding back approvals because it wants to prioritize domestic semiconductor development. After the summit, President Donald Trump said China had chosen not to allow the purchases because it wanted to build its own chips instead.

The result is a rare situation where a product is technically approved for export but still cannot be delivered.

China’s domestic chip strategy is a major obstacle

China has been investing heavily in local semiconductor companies to reduce reliance on foreign technology. In that context, allowing large purchases of Nvidia’s chips could conflict with Beijing’s long‑term strategy to build a self‑sufficient AI hardware ecosystem.

Even if imports are eventually permitted, Chinese regulators may restrict where and how the chips can be used, especially for sensitive industries or government systems.

For Chinese cloud providers and AI companies, that creates uncertainty about whether importing the chips will remain politically acceptable in the long term.

Why Huang says blocking Nvidia could hurt the U.S.

Huang’s argument goes beyond Nvidia’s revenue. He believes keeping American technology inside China’s AI ecosystem is strategically important.

His logic works like this:

• AI leadership isn’t determined only by hardware—it also depends on the software platforms and developer ecosystems built on top of that hardware.
• If Chinese developers build their AI infrastructure around domestic chips instead of Nvidia’s, U.S. technology companies could lose influence over global standards.

In other words, denying U.S. companies access to China might not slow Chinese AI development—it might simply accelerate the country’s shift toward domestic alternatives.

For Huang, access to the Chinese market is therefore tied to long‑term technological leadership, not just short‑term chip sales.

The bigger picture: a technology rivalry with no quick fix

The stalled H200 deal illustrates how complicated the AI chip trade has become. Even when regulators approve exports, political and strategic considerations on both sides can stop the deal from moving forward.

For now, Nvidia sits in the middle of the U.S.–China technology rivalry: licensed to sell some of its most advanced chips into China, yet unable to actually deliver them.

Whether shipments eventually begin will depend less on Nvidia’s technology and more on how the two governments balance national security concerns with the economic importance of the global AI market.