China is winning one AI race, the US another – but either might pull ahead
In the late 20th century, the pursuit of nuclear capabilities consumed the intellectual efforts of leading minds in the United States and the Soviet Union. Today, the rivalry has shifted to a technological battlefield, with China emerging as the US’s primary competitor. The goal remains the same: to lead in artificial intelligence. This contest unfolds across research institutions, startups, and corporate headquarters, with global leaders monitoring the progress. The financial stakes are immense, measured in trillions of dollars. However, the balance of power between the two nations could soon shift, as their respective strengths in AI may face challenges.
Brainpower vs. Robotics
Nick Wright, a cognitive neuroscience researcher at University College London (UCL), frames the divide as one between “brains” and “bodies.” The US has traditionally excelled in AI’s intellectual core—chatbots, large language models, and microchip design. Meanwhile, China has made significant strides in AI’s physical applications, particularly in the development of humanoid robots that mimic human movement with uncanny precision. Yet, neither side can afford to rest on its laurels, as the other strives to close the gap.
On November 30, 2022, OpenAI, based in California, unveiled ChatGPT—a chatbot capable of engaging in conversational interactions. The release sparked immediate global attention, with Bloomberg’s Parmy Olson describing the phenomenon as a “flood of posts” on social platforms, highlighting how users embraced the tool. ChatGPT marked the arrival of the first widely adopted large language model (LLM), which processes vast amounts of internet data to identify patterns in communication. Experts now concur that the US maintains an edge in this domain, with ChatGPT boasting over 900 million weekly users—nearly one in eight of the world’s population.
Hardware as a Strategic Edge
While the US dominates AI’s software side, the White House emphasizes the importance of hardware, particularly microchips, in maintaining its strategic position. These components power the computational demands of LLMs, and most are produced by American companies. Nvidia, a California-based firm, holds a dominant role, becoming the first entity to surpass a $5 trillion valuation in October 2022. Stephen Witt, author of *The Thinking Machine*, notes this milestone. The US employs strict export regulations to restrict China’s access to these critical chips, a policy rooted in the 1950s but intensified under President Joe Biden in 2022 as the AI race escalated.
Despite the fact that many high-end microchips aren’t manufactured in the US, Washington leverages its influence through the “foreign direct product rule.” This policy compels foreign firms to comply with American standards if their products incorporate US technology. Taiwan Semiconductor Manufacturing Corporation, a key supplier of these chips, operates in close proximity to mainland China, making the island a strategic asset. Yet, Chinese manufacturers have yet to replicate the US’s advanced chip production, a challenge that could shape the future of the AI race.
