China is winning one AI race, the US another – but either might pull ahead

The AI Race Takes Shape

During the latter half of the 20th century, the pursuit of nuclear weapons consumed the attention of top minds in the US and the Soviet Union. Today, that rivalry has evolved into a contest centered on artificial intelligence, with the US and China locked in a high-stakes battle for technological supremacy. This competition spans laboratories, academic institutions, and the headquarters of innovative startups, overseen by corporate leaders and political figures from the world’s leading economies. The financial stakes are enormous, measured in trillions of dollars, and both nations are vying to shape the future of automation and innovation.

Competing Strengths and Strategic Divisions

American researchers and engineers have long dominated the development of AI “brains”—systems like chatbots, microchips, and large language models (LLMs)—while Chinese companies excel in crafting the “bodies” of AI, particularly advanced humanoid robots that mimic human movement and appearance. However, this division may shift as both nations intensify their efforts to outpace each other. As Nick Wright, a cognitive neuroscience expert at University College London, explains, the contest is essentially between “brains” and “bodies,” with each side leveraging its unique advantages.

The Rise of ChatGPT and the LLM Revolution

In November 2022, OpenAI, a California-based firm, unveiled ChatGPT—a breakthrough in conversational AI that quickly captured global attention. The company’s brief announcement described a model capable of “interacting in a conversational way,” sparking a frenzy in the tech community. Bloomberg’s Parmy Olson, author of *Supremacy: AI, ChatGPT, and the race that will change the world*, notes how this innovation led to an explosion of social media activity, with users eager to explore its capabilities. ChatGPT marked the emergence of the first widely adopted large language model, capable of analyzing vast internet data to replicate human-like expression patterns.

Global Rivalry and Economic Incentives

Experts now agree that the US holds the edge in AI “brains,” with ChatGPT boasting over 900 million weekly users—a figure equivalent to nearly one-eighth of the world’s population. American firms like Anthropic, Google, and Perplexity swiftly followed, investing heavily in rival LLMs to maintain their competitive edge. The potential for these systems to automate white-collar tasks and generate substantial profits has intensified the race, as companies seek to secure market dominance.

Microchips as the Hidden Weapon

While the US leads in algorithmic innovation, its strategic advantage hinges on hardware. Most of the high-performance microchips powering Silicon Valley’s AI advancements are engineered in the US, with Nvidia standing out as the dominant player. In October 2022, the company reached a valuation of $5 trillion, potentially securing its place as the most valuable firm in history. Washington’s control over these chips is critical, as they fuel the computational demands of LLMs and other AI technologies.

Export Controls and the Taiwan Connection

Washington’s export policies, initially established in the 1950s to curb Soviet access to electronics, have been fortified in recent years to safeguard its lead against China. President Joe Biden’s administration intensified these measures in 2022 as the AI race accelerated. Even though many of these advanced chips are manufactured in Taiwan—a US ally—by the Taiwan Semiconductor Manufacturing Corporation, the US enforces strict rules to limit their flow to China. This includes the “foreign direct product rule,” which compels foreign firms using US technology to comply with American regulations.

The proximity of Taiwan’s chip factories to mainland China underscores the geopolitical significance of the island. Despite its strategic importance, Beijing faces challenges in replicating the US’s microchip expertise. Chinese factories lack the infrastructure and specialized knowledge required to produce cutting-edge semiconductors, making the current chip landscape a decisive factor in the global AI contest.

“You could go on any sort of social network and there was just this flood of posts from people talking about all the different ways that they were using this new little text box that had appeared on the internet,” says Parmy Olson, Bloomberg columnist and author of *Supremacy: AI, ChatGPT, and the race that will change the world*.

As the race intensifies, the balance of power could shift. While the US dominates AI “brains” and controls the supply of essential hardware, China’s progress in “bodies” and its growing tech capabilities pose a persistent threat. The coming years may redefine this competition, with innovation and policy decisions determining which nation ultimately secures global leadership in artificial intelligence.