Chinese chip industry leaders admit the country lags five to ten years behind in AI data center chips — AI demand is straining equipment and talent supply
Foundry talent gaps and a five-to-ten-year lag in data center chips were among the challenges raised at SEMICON China 2026.
Senior Chinese semiconductor executives said AI-driven demand is creating bottlenecks across equipment, passive components, and workforce capacity, according to a DigiTimes report from the SEMI Industry Innovation Investment Forum at SEMICON China 2026, which ran March 25-27 in Shanghai.
The panel brought together leaders from ACM Research, National Silicon Industry Group, Sino IC Leasing, and Chongqing Xinlian Microelectronics to discuss investment priorities, supply chain pressure, and the push to take Chinese chip equipment international.
David Wang, CEO of ACM Research, said the AI surge has been propelled by chip advances but argued that future progress depends on semiconductor equipment. Next-generation manufacturing tools haven't yet been developed, Wang said, and will likely define the trajectory of computing performance going forward.
Article continues belowWei Li, standing vice president of National Silicon Industry Group, pointed to rising demand for memory, data center power management ICs, and optoelectronic technologies, with data transmission and 6G emerging as key focus areas.
Daniel Yuan, EVP of Sino IC Leasing, said multilayer ceramic capacitors are facing shortages as data center construction accelerates. Sino IC Leasing is a state-backed financial leasing company focused exclusively on the integrated circuit industry, and Yuan's comments reflect broader supply pressure across passive components that underpin AI server builds.
Lee Haiming, SVP of Chongqing Xinlian Microelectronics, said AI growth is forcing Chinese foundries to scale up faster while talent retention and equipment utilization remain key constraints. Lee added that China remains competitive in consumer chips but lags five to ten years behind in automotive and data center semiconductors. He cited AI adoption in manufacturing as one path to narrowing that gap.
Chongqing Xinlian is a state-owned specialty foundry backed by China's Big Fund Phase II. The company is building the first Chinese 12-inch wafer fab in Chongqing's Xiyong Microelectronics Industrial Park with an initial capacity target of 20,000 wafers per month, focused on automotive-grade chip production.
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Panelists also discussed international expansion. Wang said sustained investment and market scale are critical to global competitiveness, with differentiated technologies forming the foundation of that. Li acknowledged that geopolitical constraints persist but said companies can reach overseas customers by delivering value, with domestic competition increasingly pushing firms toward export markets.
The panelists were all in agreement that AI will continue to drive capital expenditure growth, with sustained investment and AI-driven manufacturing upgrades essential to maintaining competitiveness.
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Luke James is a freelance writer and journalist. Although his background is in legal, he has a personal interest in all things tech, especially hardware and microelectronics, and anything regulatory.
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Kamen Rider Blade And MS wonders why people don't want to leave Windows 10 given all this nonsenseReply -
alan.campbell99 I seem to recall Jensen saying something to the effect of China is nanoseconds behind the US on AI.Reply -
beyondlogic Reply
jensen says alot of wafflealan.campbell99 said:I seem to recall Jensen saying something to the effect of China is nanoseconds behind the US on AI. -
usertests Reply
I don't think being 5-10 years behind on hardware manufacturing is such a big deal when they are legally buying some newer accelerators under slapdash policies, smuggling better chips in, converting 4090s into 4090 48GBs, etc.alan.campbell99 said:I seem to recall Jensen saying something to the effect of China is nanoseconds behind the US on AI.
What they are managing to make isn't terrible:
Huawei unveils new Atlas 350 AI accelerator with 1.56 PFLOPS of FP4 compute and up to 112GB of HBM — claims 2.8x more performance than Nvidia's H20
That leaves the software side, where optimizations can make less into more (e.g. TurboQuant). And you can also "steal" your competitor's model via distillation and get away with it.
So they aren't too far behind, are putting in a lot of money, and have a lot of people looking for breakthroughs. -
Stomx It does not matter and not a real problem that China couple or 5 or even 10 years behind. China in one day could start a Great Depression and destroy all current AI leaders if it decide to make AI free for everyone, just pay for their cheap electricity.Reply