A.I. Sets Off A U.S. Vs. China Arms Race

The jockeying for A.I. primacy has huge implications. Breakthroughs in generative A.I. could tip the global technological balance of power, increasing people’s productivity, aiding industries and leading to future innovations, even as nations struggle with the technology’s risks.

As Chinese firms aim to catch up by turning to open-source A.I. models from the United States, Washington is in a difficult spot. Even as the United States has tried to slow China’s advancements by limiting the sale of microchips and curbing investments, it has not held back the practice of openly releasing software to encourage its adoption.

For China, the newfound reliance on A.I. systems from the United States — primarily Meta’s LLaMA — has fueled deeper questions about the country’s innovation model, which in recent decades surprised many by turning out world-beating firms like Alibaba and ByteDance despite Beijing’s authoritarian controls.

A.I. has long been a priority in China. After the A.I. tool AlphaGo defeated two top players of the board game Go in 2016 and 2017, Chinese policymakers set out an ambitious plan to lead the world in technology by 2030. The government pledged billions to researchers and companies focused on A.I.

U.S. restrictions on A.I. chip sales to China pose further challenges, since many such chips are needed when training generative A.I. models. Baidu and 01.AI, among others, have said they’ve stockpiled enough chips to sustain their operations in the near future.