Germany and Japan are mighty exporters with, respectively, eight million and ten million manufacturing workers. A country doesn’t need so many people to have a robust semiconductor industry: A few hundred thousand highly trained workers are enough. In 2025, China will graduate more than twice as many PhDs in STEM fields as the United States— and many in American universities are Chinese nationals likely to repatriate.
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US manufacturing employment peaked in 1980 at nineteen million workers. In 2000, it still had seventeen million. Then it collapsed over the next decade, in part due to China, in part due to technology changes, and especially after the global financial crisis, when the workforce fell to just eleven million in 2010. In 2025, the United States has around thirteen million manufacturing workers.
By the mid-2010s, Chinese companies figured out how to make all the German tools, as well as the entirety of the solar value chain. The plunge on solar power costs over the last decade has been driven less by breakthroughs in science— which is the United State’s strong suit— than by efficient production, which is China’s strength. The beneficiaries are not only the climate but also China’s national power.
Science matters of course. China remains weak in chips and aviation in part because these are much more scientifically complex industries than solar. Not every technology improves through iterative adjustments to manufacturing processes, but a great deal can follow its logic. When lots of companies are doing similar things, in a brutally competitive environment where profit margins are small, they establish communities of engineering practice like Shenzhen. These factories will never be as glamorous as the desirable branding represented by Apple or Tesla. Every day, millions of workers go to factories to build up technological process knowledge.
Everything starts from the recognition that something has gone quite wrong in US technology. Too many people have argued away the strategic importance of manufacturing. And the solution has to involve reconstituting its communities of engineering practice that prioritize process knowledge. It means attempting to build up every segment of manufacturing: training workers and creating incentives for manufacturers in order to relearn mass production.
This scenario sounds a bit fantastic, but if the iPhone were built in the United States rather than Shenzhen, then an American city— say Detroit, Cleveland, or Pittsburgh— might be hailed as the hardware capital of the world.
Even if the United States is able to outclass China in diplomacy, finance, and innovation, the contest between these two great powers is going to be close if the United States can't build anything in the physical world.
The strongest wind in China’s sails is the entrenched technological workforce that preserves process knowledge that I wrote about in Chapter 3 on tech power. Though 50 percent of China’s economy might be dysfunctional, 5 percent is doing superbly well (an approximation I borrow from Greg Ip at the Wall Street Journal).
Beijing understands social media sites, like Facebook or TikTok, primarily as freewheeling platforms of expression. They bring little gain in economic productivity while creating huge potential for political unrest. Meanwhile, the Chinese leadership looks more longingly at places like Germany, a country that hasn’t developed digital giants but is firmly grounded in manufacturing industries.
In the United States, physics and mathematics PhDs hardly have a chance to consider working in their field before a tech giant or hedge fund picks them up at the sidelines of a conference, flashes them with a humongous pay package, and folds these eager minds into their glamorous embrace. Senior government advisors have more or less stated that Beijing intends to block these temptations. Yao Yang, a dean at Peking University, has remarked with satisfaction that salaries have fallen in the financial industry after regulators imposed a salary cap of $400,000 on the financial sector. Its idea, Yao said, is “to reduce the attractiveness of finance and increase the development of manufacturing.