American Workers Built the Tech Economy — Wall Street and Washington Let China Steal the Crown

China just snatched the world's supercomputing title away from the United States — and the executives, politicians, and billionaires who spent decades offshoring American manufacturing, gutting domestic chip production, and bleeding the industrial workforce dry have no one to blame but themselves.

LineShine, a massive computing system built in Shenzhen, China, was declared the world's fastest supercomputer on Tuesday by researchers using the standard Top500 benchmark — the twice-yearly ranking of supercomputer performance that the industry treats as gospel. LineShine's test results were more than 20 percent faster than those of El Capitan, a system at Lawrence Livermore National Laboratory in California that had held the top spot since November 2024. China had not placed a machine at the top of the list since 2017. American workers and scientists didn't lose this ground overnight. They lost it one offshored factory, one gutted research budget, and one Silicon Valley stock buyback at a time.

What makes this loss sting even harder is how China did it. LineShine doesn't rely on the special-purpose graphics processing units — GPUs — that American companies like Nvidia have turned into a multi-hundred-billion-dollar empire. Instead, it uses standard microprocessors packed with nearly 14 million computing cores across 90 hardware cabinets, with GPU-style capabilities baked directly into the chip architecture. In other words, China found a way around the very export restrictions that Washington politicians sold the public as a defense against Chinese technological catch-up.

Jack Dongarra, a professor of computer science and electrical engineering at the University of Tennessee and an organizer of the Top500 list, recently inspected the new machine at the Shenzhen Cloud Computing Center and was blunt in his assessment.

"It's an impressive system. They upped us by developing a system that is not reliant on GPUs."

Dr. Dongarra's own report makes clear that when U.S. officials limited China's access to GPUs and other powerful chips — moves championed by politicians and lobbyists as tough-on-China policy — it caused China "to invest in developing architectures and technology to effectively have supercomputers that are at the same level as the U.S.'s highest-performing systems." In short: the export control strategy that Nvidia, Washington insiders, and think-tank fellows cheered as a masterstroke simply pushed China to innovate around American dominance, while American workers in manufacturing and research saw no windfall from the arrangement.

President Trump has imposed tariffs and at times placed limits on A.I. chip exports in an attempt to prevent China from catching up. But China's use of standard microprocessors — known as CPUs — rather than GPUs to build an ultrafast supercomputer has already exposed the hollow center of that strategy. Jimmy Goodrich, a senior fellow at the University of California Institute on Global Conflict and Cooperation, laid bare the failure plainly.

"The U.S. government should have stronger controls on the export and manufacturing of CPUs for the China market. It is a loophole in the current regulations."

A loophole. After years of tough talk from politicians on both sides of the aisle about protecting American technological leadership, the regulatory framework has a loophole big enough to drive a world-record supercomputer through. Meanwhile, the American workers who might have built these machines — in unionized manufacturing plants, in well-paying industrial jobs — have been an afterthought in every boardroom and congressional hearing where these policies were crafted.

The chips powering LineShine are an original Chinese design based on technology licensed from Arm Holdings, a British company controlled by the Japanese conglomerate SoftBank. Arm, whose technology is best known for powering smartphones but has been adapted by Nvidia, Amazon, Qualcomm, and others for data centers, has long operated in China. A company spokeswoman offered a carefully laundered statement: "Arm operates globally, including in China, in compliance with applicable export control laws and regulations." Compliance with weak laws is hardly a badge of honor when the result is America losing its computing crown.

LineShine's designers — supercomputer veterans in China — have not disclosed which company manufactured the chips or what level of production technology was used, Dr. Dongarra said. He and other experts have long suspected China possessed systems capable of a No. 1 ranking, but Chinese laboratories had not recently submitted test results. Addison Snell, an analyst at Intersect360 Research, said the real shock wasn't the capability — it was the audacity.

"It doesn't surprise me that there is a Chinese machine capable of being No. 1. The surprise is that they wanted the acknowledgment."

China wanted acknowledgment because it has earned it — on the backs of state investment, coordinated industrial strategy, and a willingness to build things. Meanwhile, U.S. tech giants like OpenAI, Anthropic, Google, and Nvidia have racked up record profits and lavished shareholders with returns, even as the domestic manufacturing base that could have kept America at the frontier of supercomputing was hollowed out and shipped overseas.

Goodrich was quick to wave the flag for American A.I. companies, insisting that "it is notable and impressive what China has done here, but they can't hold a candle to these massive A.I. supercomputers that have been built by American A.I. labs" and others. But those American A.I. labs are private fiefdoms — owned by billionaires, accountable to Wall Street, and staffed by a relative handful of highly compensated engineers. The good jobs, the union jobs, the manufacturing jobs that a genuine national supercomputing industrial strategy might have created? Those conversations never happen in the boardrooms of San Francisco or the marble corridors of Washington.

Supercomputers have been used since the 1960s for tasks like creating climate models, cracking codes, and designing nuclear weapons — work that has always been a matter of national security and scientific sovereignty. U.S. national labs, which are the main buyers of some of the largest supercomputers, are now scrambling to incorporate A.I. into their scientific work. In November, the Trump administration launched the Genesis Mission, which aims to exploit supercomputers at U.S. national labs, along with private companies, to supercharge A.I. and scientific research. Whether that initiative produces real jobs and real investment for American workers, or simply funnels more public money into the coffers of the same tech billionaires who already dominate the sector, remains to be seen.

History offers a sobering context. A system in Japan ranked No. 1 on the Top500 list from 2020 to 2022. Snell noted that these moments of foreign supremacy tend to jar American complacency.

"There's a lot of talk that America is the only country capable of these systems. Then you find that other companies have capabilities, too."

LineShine has already been put to work on projects including a sophisticated simulation of Earth — covering atmosphere, ocean, land, and ice — and a complex simulation of the human brain, according to Dr. Dongarra's report. The machine has also generated 14 submissions for the Gordon Bell Prize, which promotes solving sophisticated scientific problems, with three systems serving as finalists for that award and three more for a related prize in climate science.

The American worker did not lose the supercomputing crown on Tuesday. It was sold out from under them — by the executives who chased cheaper labor abroad, by the politicians who wrote the loopholes, and by the billionaires who turned technological supremacy into a personal profit center. LineShine is the bill coming due.