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China’s AI Strategy Leans on Huawei Chip Clusters and Cheap Energy to Counter the U.S.

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China has found a powerful workaround to the U.S. chokehold on advanced semiconductors — combining Huawei’s massive chip clusters with abundant cheap energy to accelerate its artificial intelligence (AI) ambitions.

While Nvidia remains the global gold standard for AI chips, U.S. export restrictions have cut China off from the American company’s most powerful processors. Yet, Chinese tech giants like Huawei, Alibaba, and DeepSeek continue to build large-scale AI models using domestically produced hardware.

At the core of this effort is Huawei’s Ascend series — less advanced than Nvidia’s GPUs individually, but competitive when linked together in vast, high-speed “clusters.” One example is the Huawei CloudMatrix 384, which connects 384 Ascend 910C chips to deliver performance rivaling Nvidia’s GB200 NVL72, despite relying on five times as many chips.

“This approach leverages high-speed interconnects to compensate for weaker chips,” said Brady Wang, associate director at Counterpoint Research. “It suits China’s strengths — large-scale engineering and manufacturing.”

The tradeoff is power consumption. Huawei’s architecture demands far more energy than Nvidia’s — but China’s cheap and plentiful electricity turns that disadvantage into an asset. Supported by investments in solar, wind, and nuclear energy, as well as local government subsidies, Beijing has created a favorable environment for energy-intensive AI infrastructure.

“Less efficient chips are sustainable in China because energy is inexpensive and government-backed,” said Wendy Chang of the Mercator Institute for China Studies.

Still, a structural weakness remains. Huawei’s chips are made by SMIC, China’s top semiconductor foundry, using older 7-nanometer tools that lag far behind TSMC’s cutting-edge technology. Export restrictions, especially on ASML’s extreme ultraviolet lithography machines, limit China’s ability to close that gap.

“China’s main challenge isn’t scaling power or hardware clusters,” said Hanna Dohmen from Georgetown University’s CSET. “It’s whether they can keep up technologically as Nvidia and TSMC push performance forward.”

For now, though, Beijing’s combination of Huawei’s hardware muscle and low-cost power is proving enough to keep China in the global AI race.

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.

U.S. and UAE Finalize Tech Security Agreement Amid AI Expansion Plans

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The United States and United Arab Emirates have finalized a technology framework agreement, expected to be signed Thursday during President Donald Trump’s final stop on his Gulf tour, according to a source familiar with the matter. The deal emphasizes mutual commitments to technology security, a key concern amid growing geopolitical tensions and the global AI arms race.

Strategic Significance:

The agreement is seen as a major diplomatic and technological milestone for the UAE, which aims to position itself as a global leader in artificial intelligence and digital innovation. For Washington, the deal strengthens control over the flow of advanced U.S. technologies, particularly AI chips, to friendly nations while keeping them out of adversarial hands like China’s.

AI Chip Context:

  • The tech pact closely follows reports that the U.S. and UAE are nearing a separate agreement allowing the UAE to import 500,000 of Nvidia’s most advanced AI chips annually starting in 2025.

  • The chips, likely from Nvidia’s Blackwell or forthcoming Rubin series, would significantly boost the UAE’s AI data center infrastructure, including projects linked to UAE-based firm G42.

  • The import deal would include provisions requiring reciprocal infrastructure investment in the U.S., reinforcing bilateral cooperation.

Broader Implications:

The finalized framework reinforces the U.S. strategy of deepening tech ties with Gulf allies while maintaining tight export controls to prevent sensitive technologies from reaching China. It also enhances the UAE’s reputation as a trusted AI development hub, backed by Western partnerships.

Neither the White House, the U.S. Commerce Department, nor the UAE or Chinese foreign ministries responded to requests for comment.

This agreement could accelerate the UAE’s emergence as a third global center for AI innovation, alongside the U.S. and China, reshaping the landscape of AI development and governance in the years to come.