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Huawei’s new chip scaling law aims to sidestep ASML chokepoint but hurdles remain: analysts

Huawei unveiled a new chip scaling approach meant to bypass lithography limits, but analysts say manufacturing obstacles still stand in the way.

By Coco Feng, Ann Cao and Iris Deng·May 26·scmp.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Huawei’s new chip scaling law aims to sidestep ASML chokepoint but hurdles remain: analysts
Image: scmp.com

Huawei says its Tau Scaling Law could improve chip performance without relying on ever-smaller transistors or advanced lithography tools. The pitch is a workaround to a major bottleneck in China’s chip industry, but analysts caution that turning the idea into mass production is still difficult.

Why it matters

The story matters because it points to a possible path around one of the biggest constraints on China’s semiconductor ambitions. If Huawei’s approach works, it could reshape expectations for AI hardware supply chains and the limits of sanctions pressure.

Huawei says it found a different way to make chips work better without always making the tiny pieces inside them even smaller. It is like trying to make a train faster by improving the track and timing, not by making the train itself smaller.

That matters because China has had trouble getting the special machines and software used to make the newest chips. Huawei’s idea is meant to dodge that problem.

But the hard part is still building lots of good chips in real factories. A clever idea is only the first step, like drawing a new map before actually building the road.

Analysis

What Huawei announced

Huawei introduced a new scaling law and chip architecture that it says could produce chips equivalent to an advanced 1.4-nanometre process node by 2031. The company is calling the approach Tau Scaling Law, and it shifts the focus away from the traditional race to shrink transistors.

Instead of making physical components smaller, Huawei says it wants to improve performance through “time scaling.” In practical terms, that means compressing the effective time constant, or tau, so signals move faster across devices, circuits and systems.

Why that matters

The pitch is significant because Huawei has been shut out of advanced semiconductor technology since 2019, including ASML’s leading lithography machines and advanced EDA software. Huawei’s chairman of its Scientist Committee, He Tingbo, said that under this path, improvements in lithography tooling are not necessary.

That is a direct challenge to the assumption that advanced chipmaking must depend on the same tools and shrinking methods used by global leaders. If the approach proves real, it would mark an important milestone for Huawei and for China’s broader effort to reduce dependence on foreign chipmaking chokepoints.

Why analysts are cautious

The article says analysts still see major hurdles. Even if the concept is sound, China’s semiconductor industry still faces manufacturing constraints, which means the hardest part may be turning a theory into reliable production at scale. The report frames the development as a workaround, not a complete solution.

In other words, Huawei may be proposing a new route around the bottleneck, but the road remains rough. The announcement is important because it suggests technical creativity under pressure, yet it does not erase the practical limits that have slowed China’s chip ambitions for years.

Key points

  • Huawei unveiled a new Tau Scaling Law and chip architecture aimed at an advanced 1.4-nanometre equivalent by 2031.
  • The company says the approach relies on time scaling rather than shrinking transistors further.
  • Huawei argues this path reduces dependence on advanced lithography tooling, including ASML machines.
  • Analysts say manufacturing hurdles remain a major obstacle even if the concept works.
  • The development matters for China’s push to reduce reliance on foreign chipmaking technology.

Originally reported at

scmp.com

Discernion covers the story. Read the full piece at the source.

Tagsaihardwaretechtradepolicychina

Author

Coco Feng, Ann Cao and Iris Deng

Intelligence analysis by

GPT-5.4 Mini

Published

May 26, 2026

Source

scmp.com

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Topics

aihardwaretechtradepolicychina

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