The US government has given a new clarification that export restrictions on advanced AI chips apply not only to companies operating in China but also to Chinese-owned firms and subsidiaries located overseas. The move closes a potential loophole that may have allowed Chinese companies to access restricted AI hardware through operations in countries outside mainland China.

Why the US Made This Move

The clarification follows concerns in Washington that Chinese firms could obtain advanced AI processors through overseas subsidiaries despite existing export controls. Some policymakers argued that uncertainty created after the cancellation of the Biden-era AI Diffusion Framework may have opened a pathway for such purchases. The new guidance makes it clear that Chinese-headquartered companies remain subject to licensing requirements regardless of where they operate.

Pressure Grows on China’s AI Industry

The tighter enforcement is expected to make access to advanced US AI hardware more difficult for Chinese companies. NVIDIA’s most powerful Blackwell AI chips remain restricted, while purchases of other advanced processors continue to face regulatory scrutiny. As a result, Chinese technology firms are being pushed to rely more heavily on domestic alternatives.

China Accelerates Its Chip Strategy

In response to years of US restrictions, China has been rapidly expanding its domestic AI semiconductor industry. Companies including Huawei, Moore Threads, Biren Technology, Cambricon, and Alibaba have increased investments in AI processors designed for both training and deploying large AI models. Rather than focusing solely on replacing Nvidia products, many firms are now building complete AI hardware and software ecosystems.

Domestic Alternatives Gain Importance

Industry analysts expect Chinese AI companies to increasingly adopt locally developed accelerators as access to foreign chips becomes more limited. Huawei’s Ascend series and Alibaba’s custom AI processors are among the products attracting attention as China works to reduce dependence on US technology.

What to Expect Next

The latest US action is unlikely to slow China’s AI ambitions. Instead, it may further accelerate investment in domestic chips, software platforms, and AI infrastructure. The competition between the US and China is increasingly shifting from individual products to entire technology ecosystems. In the coming years, the key question may no longer be whether China can replace Nvidia, but how quickly it can build a self-sufficient AI industry capable of competing on a global scale.

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Highlights:

• Nvidia CEO Jensen Huang’s China visit comes amid fresh uncertainty over H200 AI chip imports.
  
• China’s customs block shows how fragile US approval is without Beijing’s green light.
  
• The episode underlines the next phase of the US–China tech war: selective access, higher costs, and slower trust.
  

Nvidia CEO Jensen Huang is currently in China, visiting Shanghai, and is expected to visit Beijing and Shenzhen. The trip follows Nvidia’s long-running Lunar New Year tradition with employees, but it comes at a tense moment. 

Just days earlier, Nvidia’s H200 AI chips were unexpectedly blocked by Chinese customs after arriving in Hong Kong. No formal explanation has been given, and officials have not said whether the restriction is temporary or permanent.

Nvidia has also stayed silent, adding to uncertainty for customers and investors.

Why the H200 Block Matters

The H200 is one of Nvidia’s most powerful AI chips allowed for China under US rules. Washington approved exports again in December, under President Donald Trump, after months of lobbying. However, China’s customs action shows that US approval alone is not enough.

Chinese regulators have warned local tech firms to reduce reliance on Nvidia and prioritise domestic chips. Companies like Alibaba Group, Tencent, and ByteDance are now buying H200s only for critical projects. Limited supply has also pushed prices up sharply on the grey market.

What This Means for the US–China Tech War

This episode highlights a new phase of the tech conflict. Instead of full bans, both sides are using delays, fees, and quiet approvals as leverage. For the US, it limits China’s access without shutting the door completely. For China, it pressures firms to build local alternatives while keeping Nvidia within reach.

Looking ahead, the future likely means slower approvals, higher costs, and more uncertainty. NVIDIA may still do business in China, but every shipment now depends on politics as much as performance.

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(via)

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Highlights

• China has instructed customs to block Nvidia H200 AI chips despite US export approval
  
• Chinese firms face a choice between costly black-market GPUs and weaker domestic chips
  
• The move signals Beijing’s push for long-term chip self-reliance over short-term performance
  

H200 Caught in the Middle of Politics

China has quietly blocked Nvidia’s H200 AI chips at customs, days after the United States approved their export under strict conditions. According to multiple sources, Chinese customs officials were told not to allow H200 shipments into the country. No formal ban has been announced, but the instructions are being treated as a de facto restriction.

Pressure on Chinese Tech Firms

Chinese technology companies have also been told not to buy H200 chips unless absolutely necessary, with narrow exceptions for university or joint research projects. This has left firms with urgent AI needs considering black-market purchases, where an eight-chip H200 server reportedly costs about 2.3 million yuan, around 50% above official prices. Even this supply is becoming harder to secure due to tighter enforcement.

Why the H200 Matters

The H200 is Nvidia’s second-most powerful AI chip and is critical for training large AI models. It is far more capable than most Chinese alternatives, especially for training tasks, though domestic chips are improving in AI inference workloads.

Analysts say Beijing is willing to accept short-term disruption to reduce reliance on US-controlled technology. The H200 episode shows how advanced chips are no longer just products, but tools of geopolitics, with market logic increasingly shaped by national strategy.

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In a bid to navigate complex US export controls, California-based AI semiconductor designer Nvidia, dominating over 90% of China’s $7 billion AI chip market, is working closely with the US government. The company aims to ensure that its new chips designed for the Chinese market comply with the latest export curbs imposed by the United States.

Nvidia CEO Jensen Huang, speaking at a news conference in Singapore, acknowledged the ongoing collaboration with the US government to develop products that align with regulatory requirements. While not confirming or denying reports of a delay in the launch of a new China-focused AI chip, Huang emphasized the company’s commitment to creating products that adhere to the evolving regulations and specified limits.

The new US curbs on chip exports are expected to open doors for Chinese rivals in the AI chip market. In response, Nvidia reportedly notified Chinese customers of a delay in the release of a China-focused AI chip, signaling the challenges the company faces in navigating the shifting regulatory landscape.

Huang revealed that seeking market advice is an integral part of Nvidia’s ongoing process, recognizing Huawei Technologies as a “formidable” competitor. Nvidia’s November earnings report warned of a substantial drop in fourth-quarter sales in China, citing the impact of the new US rules. The uncertainty surrounding the extent of change in Nvidia’s revenue, as China traditionally contributes around 20% to the company’s earnings, adds complexity to the situation.

Simultaneously, Nvidia is in talks with Singapore for potential significant investments. The company is collaborating with Singapore on the development of its own AI Large Language Model (LLM) named Sealion. Singapore, known for its vibrant AI ecosystem, has also announced a $52 million initiative to create Southeast Asia’s first LLM, showcasing the region’s growing importance in the global AI landscape.

The developments come in the wake of US Commerce Secretary Gina Raimondo’s recent appeal to Congress for additional funding beyond her $200 million budget. Raimondo emphasized the critical nature of denying China access to cutting-edge chips for national security, pointing to Nvidia’s chip redesign for the Chinese market as a prime example. The call for increased resources underscores the high-stakes nature of semiconductor technology in US-China relations and the ongoing challenges faced by industry players like Nvidia.

Related:

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• Nvidia faces setback as the launch of China-focused AI Chip, H20, delayed amid integration challenges

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