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Nvidia CEO Jensen Huang Backs Trump’s Plan to Ease AI Chip Export Curbs

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Nvidia CEO Jensen Huang has strongly criticized U.S. export restrictions on AI chips to China, calling them a “failure” that cost American firms billions in lost sales while accelerating China’s self-reliance in semiconductor development. Speaking at the Computex conference in Taipei, Huang welcomed the Trump administration’s decision to reverse some of the Biden-era controls, signaling a shift that could reshape global tech policy.

“The fundamental assumptions that led to the AI diffusion rule have been proven to be fundamentally flawed,” Huang said, referring to the Biden administration’s three-tiered export control regime, which entirely blocked sales of advanced chips to China.

Impact on Nvidia and U.S. Industry

Since the Biden administration’s controls came into effect, Nvidia’s market share in China fell from 95% to 50%, Huang revealed. Nvidia has been hit particularly hard, taking a $5.5 billion charge in April related to its blocked H20 chip, and Huang now estimates total revenue loss at $15 billion.

Despite these setbacks, Huang noted that AI research in China has continued unabated and is now being powered by local technologies, particularly chips from Huawei and other Chinese semiconductor designers. He estimated that China’s AI market will be worth $50 billion in 2025 and called the competition there “intense”.

“They would love for us never to go back to China,” he said.

Trump’s Strategy: A Shift in Direction

Huang praised the Trump administration’s plan to move away from rigid export tiers and toward a global licensing regime based on government-to-government agreements. The proposed shift could provide the U.S. more flexibility and leverage in trade negotiations while also easing pressure on U.S. tech firms.

“President Trump realises it’s exactly the wrong goal,” Huang said, arguing that isolating China from U.S. tech would not stop AI innovation and only encourage the growth of competitive alternatives.

Nvidia’s Workaround

Nvidia is now developing a new version of its Blackwell AI chip that includes slower memory, allowing it to comply with current U.S. restrictions while still serving key markets.

Rising Tensions

China responded sharply to recent U.S. moves that warned firms against using Chinese-made AI chips like Huawei’s Ascend, urging the U.S. to “immediately correct its wrongdoings.” Beijing warned that such measures violate trade agreements and undermine cooperation, threatening “resolute” countermeasures.

Industry Outlook

While the Biden administration had aimed to contain China’s semiconductor and military advancements, the unintended consequence appears to be a rapid buildup of China’s domestic AI and chipmaking capabilities. Huang’s remarks underscore the growing frustration within U.S. tech circles over policies they say are self-damaging.

Meanwhile, Nvidia continues to dominate the global AI infrastructure market, with new product announcements at Computex expected to further boost its $130.5 billion revenue base.

U.S. Lawmakers Introduce Bipartisan Bill to Prevent AI Chip Smuggling to China

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A bipartisan group of eight U.S. lawmakers has introduced the Chip Security Act, a bill that would require AI chipmakers like Nvidia to implement location verification technology in their hardware to help prevent export-controlled chips from being smuggled into China or reaching other restricted regions.

The legislation, introduced Thursday in the U.S. House of Representatives, is a response to growing evidence that U.S.-origin AI chips are still reaching China, despite existing export controls enacted under both the Biden and Trump administrations.

What the Bill Proposes:

  • Mandates AI chip manufacturers to embed technology that can verify the geographic location of each chip before or during operation.

  • Aims to close loopholes in enforcement of U.S. export restrictions on advanced AI chips.

  • Targets unauthorized resales or re-routing of chips through third-party countries.

Sponsors and Political Support:

  • Rep. Bill Huizenga (R-MI), lead sponsor, said the measure is key to protecting U.S. technological advantage and keeping chips away from “nefarious actors.”

  • Rep. Bill Foster (D-IL), a physicist and chip designer turned legislator, co-led the bill, noting that the U.S. has “technical tools to prevent powerful AI technology from getting into the wrong hands.”

  • Other co-leads and sponsors include:

    • Rep. John Moolenaar (R-MI), Chair of the House Select Committee on China

    • Rep. Raja Krishnamoorthi (D-IL), Ranking Member

    • Rep. Ted Lieu (D-CA)

    • Rep. Rick Crawford (R-AR), Chair of the House Intelligence Committee

    • Rep. Josh Gottheimer (D-NJ)

    • Rep. Darin LaHood (R-IL)

A similar version of the bill was introduced last week in the Senate by Sen. Tom Cotton (R-AR).

Policy Context:

The proposal follows President Donald Trump’s decision to rescind a Biden-era rule designed to regulate global flows of advanced AI chips. Though the Trump administration has not issued a replacement framework, it has actively promoted AI chip deals in the Middle East, raising concerns among national security officials about oversight and end-use compliance.

The legislation is expected to rekindle debate in Washington over how best to enforce export restrictions in an era when hardware is easily resold or re-exported through global gray markets.

If passed, the Chip Security Act would represent one of the first legislative attempts to embed compliance into hardware design, rather than relying solely on export documentation and customs enforcement.

AI Leaders Urge U.S. to Boost Exports and Infrastructure to Stay Ahead of China

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Top executives from OpenAI, Microsoft, and AMD warned U.S. lawmakers on Thursday that the country risks losing its lead in artificial intelligence to China unless it expands infrastructure, loosens AI chip export restrictions, and strengthens workforce training. Their testimony before the U.S. Senate Commerce Committee, chaired by Senator Ted Cruz, emphasized the urgent need for pro-growth AI policies to counter China’s rapid advancements.

The call to action follows China’s DeepSeek AI breakthrough last year and Huawei’s rollout of advanced AI chips, both of which have shaken Washington’s confidence in maintaining AI dominance.

“The number-one factor that will define whether the U.S. or China wins this race is whose technology is most broadly adopted in the rest of the world,” said Brad Smith, President of Microsoft. He added that Microsoft has banned internal use of DeepSeek due to data privacy and propaganda concerns.
“The lesson from Huawei and 5G is that whoever gets there first will be difficult to supplant.”

Key Takeaways from the Senate Hearing:

  • OpenAI CEO Sam Altman emphasized the need for massive infrastructure investment, including data centers and power generation, to fuel AI’s growth.

  • AMD CEO Lisa Su highlighted the importance of maintaining competitiveness in AI chip design while also ensuring export flexibility.

  • Smith called for broader AI education, R&D funding, and skilled labor development, including more electricians for AI facilities.

The tech industry is pushing back against Biden-era AI export rules that aimed to limit China’s access to powerful AI chips. In response, the Trump administration is preparing to rescind those curbs and replace them with a new framework — a move praised by Cruz, Altman, and Su during the session.

“The Biden administration’s misguided midnight AI diffusion rule on chips and model weights would have crippled American tech companies’ ability to sell AI to the world,” Cruz said.

China’s DeepSeek, based in Hangzhou, made waves by launching a powerful, cost-effective AI model competitive with OpenAI and Meta — a move that intensified pressure on U.S. lawmakers to act quickly.

Meanwhile, Huawei is preparing to mass-ship advanced AI chips to Chinese customers despite ongoing U.S. trade restrictions.

With national security, economic leadership, and technological supremacy at stake, AI executives stressed that global market penetration—not just technical capability—will determine who wins the AI race.