Huawei's ‘Chip Queen’ Throws Down the Gauntlet
Recorded: May 27, 2026, 6 p.m.
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Huawei's ‘Chip Queen’ Throws Down the Gauntlet | WIREDSkip to main contentMenuSECURITYPOLITICSTHE BIG STORYBUSINESSSCIENCECULTUREREVIEWSMenuAccountAccountNewslettersSecurityPoliticsThe Big StoryBusinessScienceCultureReviewsChevronMoreExpandThe Big InterviewMagazineEventsWIRED InsiderWIRED ConsultingNewslettersPodcastsVideoLivestreamsMerchSearchSearchWill KnightBusinessMay 27, 2026 2:00 PMHuawei's ‘Chip Queen’ Throws Down the GauntletThe Chinese company is adapting to the demise of Moore’s Law, which guides chip production. It could complicate US chip dominance.Photo-Illustration: WIRED Staff; Getty ImagesCommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storyThe plot thickens in the great AI chip race.Tingbo He, president of Huawei’s chip-design subsidiary HiSilicon, says her company’s engineers have developed a novel way to optimize semiconductors—and she believes it will close the performance gap between Chinese and Western chips over the next few years.Huawei’s method, in short, focuses on speeding up computations across chips, circuits, and entire computing systems, rather than squeezing ever-more components onto a single piece of silicon.“We found a new path,” He said at the IEEE International Symposium on Circuits and Systems in Shanghai last weekend. He, who is known in China as Huawei’s “chip queen,” promised that the company would prove the viability of the new approach, presumably with a new chip, in the coming months.“Before winter 2026, we will bring the surprise,” He said. “Not saturation, not continuation, but a big leap ahead.”The chip queen calls the new approach Tau’s Scaling Law, and says it has replaced Moore’s Law as HiSilicon’s guiding principle. Moore’s Law, named for the Intel cofounder Gordon Moore, dictates that progress in computing depends on roughly doubling the number of transistors, or logic gates, packed into a chip every two years.Minting cutting-edge chips currently involves etching components into silicon using billion-dollar lithographic equipment, a supply chain of exquisitely delicate components, and extensive engineering know-how.US export controls prohibit Huawei from working with Taiwan Semiconductor Manufacturing Company (TSMC), the world's leading chip foundry. Huawei must instead rely on China’s SMIC, which uses an older generation of lithography machines. Crucially, restrictions limit China’s ability to develop frontier artificial intelligence using its own silicon. By some estimates, it’s more than five years behind the leading edge.But the chip industry has begun running into the limits of Moore’s Law. When transistors are just a few nanometers wide, quantum effects interfere with their normal functioning. Many chips are already made with workarounds: Apple’s most powerful processors, for example, are built by stitching two chips together to make a more powerful single one.Huawei’s announcement suggests that the company believes it has found a way around these limits. It also suggests that the sanctions aimed at kneecapping China’s chip industry have spurred innovations that may, over time, allow the country to build a more advanced domestic chip industry and compete with the West. In the end, innovations from companies like Huawei could erode America’s technological edge.“Six years ago geometric scaling plateaued for us,” He said over the weekend, referring to lithographic miniaturization. “We soon realized semiconductor evolution is more than geometric scaling.”He highlighted several ways that the company has advanced chip performance using its new approach. These include something called LogicFolding, which reduces the time required to perform key logical operations within a circuit.HiSilicon says it’s also improving chip performance by accounting for nanoscale electronic phenomena; designing chips to work well together; and developing interconnects that speed chip-to-chip communication, a key trick for training large AI models.“For both [AI] training and inference, the win is not just in shortening compute time. It is in shortening the time that data spends moving, between chips and inside a chip,” she said.Huawei says it will use its new approach to produce components with performance equivalent to a 1.4-nanometer chipmaking process by 2031. This would amount to a significant reduction in China's chipmaking lag since TSMC is expected to introduce chips using this process in 2028.He’s announcement doesn’t mean that Huawei has a clear path to defeating US sanctions, and not everyone is convinced it will be viable. Lennart Heim, an independent semiconductor and AI policy analyst, says Huawei’s strategy suggests the company is running into limits on how much more performance it can squeeze out by shrinking and densifying chips alone. Instead, he says, Huawei is increasingly relying on techniques like hybrid bonding and 3D chip stacking to improve performance.But Huawei’s chip queen seems confident that the company will change the game. “These innovations will enter mass production,” she said in her speech. “Maybe not this year, but from 2027 and beyond.This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.CommentsBack to topTriangleYou Might Also LikeHow to find us: Add WIRED.com to your preferred sources in GoogleHow the Canvas hack threatened thousands of schoolsBig Story: I've covered robots for years—this one is eerily lifelikeOrbs, saucers, and flashes on the moon—here’s what’s in the UFO filesTake our survey: What does “home” mean to you?Will Knight is a senior writer for WIRED, covering artificial intelligence. He writes the AI Lab newsletter, a weekly dispatch from beyond the cutting edge of AI—sign up here. 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Huawei's strategy in the semiconductor industry is fundamentally reshaping the competitive landscape by attempting to advance beyond the constraints imposed by Moore's Law, which traditionally governed chip production. Tingbo He, president of Huawei’s chip-design subsidiary HiSilicon, has proposed a novel method focused on optimizing computations across entire chips, circuits, and computing systems, rather than solely increasing the density of components on a single piece of silicon. This approach, which He terms Tau's Scaling Law, is posited as a replacement for Moore's Law as the guiding principle for HiSilicon. Moore's Law historically dictated that progress relied on doubling the number of transistors every two years, but the text suggests that semiconductor evolution is more complex than mere geometric scaling, noting that quantum effects interfere at nanoscale dimensions. The context for this innovation is complicated by geopolitical restrictions. US export controls prevent Huawei from collaborating with TSMC, the world's leading chip foundry, forcing reliance on China's SMIC, which utilizes older lithography machines. Furthermore, these restrictions limit China's ability to develop frontier artificial intelligence using domestic silicon, placing it estimated more than five years behind the leading edge. This situation creates a strong incentive for innovation, as Huawei's advancements could potentially erode America's technological advantage. Huawei's new approach involves several technical advancements. These include LogicFolding, which aims to reduce the time required for key logical operations within a circuit. Beyond pure computational speed, the methodology focuses on accounting for nanoscale electronic phenomena, designing components to function synergistically, and developing interconnects that drastically speed up communication between chips, a critical requirement for training large artificial intelligence models. The core advantage lies not only in shortening compute time but also in minimizing the time data spends moving both within and between chips. Huawei projects that this methodology will enable them to produce components with performance equivalent to a 1.4-nanometer chipmaking process by 2031, anticipating this would significantly close the technological gap with competitors like TSMC. Although He is confident in the viability of this approach, some independent analysts suggest that the company is encountering limits on performance gains achieved solely through miniaturization. These analysts point to alternative performance-enhancing techniques that Huawei is also exploring, such as hybrid bonding and three dimensional chip stacking. Nevertheless, Huawei remains confident that these innovations will transition into mass production from 2027 onward. |