To support this shift, the government is opening massive vocational schools, such as the Hangzhou Technician Institute, where students as young as 15 learn to code and maintain the machines that are increasingly taking over factory floors.
This automation push serves as a critical fix for China's looming demographic crisis, as official estimates suggest more than a third of the population will be over 60 by 2035.
By replacing human labor with machines that can work 24 hours a day, the government hopes to maintain industrial productivity despite a workforce expected to shrink by 60 million people over the next decade.
However, the transition carries significant risks for the 120 million people currently employed in manufacturing; if the shift happens too quickly, it could trigger widespread job losses and economic instability for those dependent on factory wages.
To maintain its competitive edge, China is leveraging an "open-source" approach—where companies share their software code—to rapidly develop the artificial intelligence (AI) needed to program these machines.
While the U.S.
currently leads in developing the "brains" or advanced AI for robots, China benefits from a superior manufacturing ecosystem that allows engineers to source hardware components in hours rather than weeks.
As companies like EV maker Leapmotor achieve nearly 100% automation in specific workshops, the focus is shifting toward whether these new technological "productive forces" will create new high-tech roles for the next generation or simply eliminate traditional livelihoods.