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US Eases Restrictions on Nvidia’s AI Chip Sales to China with New Export Criteria

by Team Lumida
January 14, 2026
in AI
Reading Time: 3 mins read
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Nvidia Loses $220 Billion: What It Means for Your Investments

Source: Business Insider

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Key Takeaways:

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  • The US Commerce Department will now review AI chip exports to China, including Nvidia’s H200, on a case-by-case basis.
  • Revised licensing requirements include limiting chip shipments to China to no more than 50% of production for the US market.
  • Exporters must certify no US processor shortages and implement rigorous “Know Your Customer” procedures.
  • The new policy marks a shift from previous US export restrictions aimed at preventing China’s access to advanced AI technologies.

What Happened?
The US government has updated its regulations, allowing Nvidia and other companies like AMD to export advanced AI chips, including the H200, to China under certain conditions. The new policy allows for case-by-case review of export requests, reversing a prior stance that assumed a denial of such sales. Companies must now prove that exporting to China will not disrupt domestic production and must adhere to stricter screening and testing procedures for Chinese buyers.

Why It Matters?
This move signals a shift in US-China tech policy under the Trump administration. It marks a departure from previous efforts to limit China’s access to advanced AI capabilities, which have been seen as critical to its technological and military advancements. The policy change may boost Nvidia’s and AMD’s sales, particularly in China, one of the largest markets for AI chips, while balancing the need for national security and economic interests.

What’s Next?
As companies like Nvidia and AMD navigate the new export conditions, attention will be on whether this policy shift will lead to increased sales in China without compromising national security concerns. The market will also look for updates on the implementation of these regulations and how they may influence future US-China tech relations, particularly in the AI sector.

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