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U.S-China AI talent race heats up

This report is from this week’s CNBC newsletter The China Connection, bringing you insights and analysis into what’s driving the world’s second-largest economy. You can subscribe Here.

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Chris Miller, author of “Chip War,” warned three years ago that the modern balance of power depends on the semiconductor supply chain crossing geopolitical fault lines. The Tufts University historian is now voicing a new concern: The United States risks losing its advantage over China in artificial intelligence talent.

“America’s preeminence is dangerously deteriorating” when it comes to brain power, Miller told the U.S. Senate Foreign Relations subcommittee last week. This is a hint: “fragile and much smaller“The advantage in artificial intelligence chips is greater,” he said.

Carnegie Endowment researchers reiterated these concerns a day later, he noted that China has been producing more top AI researchers in the past few years, while fewer are going to the United States.

Part of the difference is due to sheer scale, with education levels rising particularly in China.

Its population is four times that of the United States, and the same goes for the volume of science, technology, engineering and mathematics (STEM) graduates. In 2020, China produced 3.57 million STEM graduates, the most of any country, far surpassing the 820,000 graduates in the United States

The number of China’s higher education graduates has increased dramatically; It has increased ninefold in just one generation. Share of adults with at least a master’s degree only 0.1% At the turn of the century, this rate rose to almost 0.9% two decades later.

Starting from a much higher base, the US saw the same rate climb much more steadily, from 8.7% to 14.1% over this period.

Researchers in a laboratory at the Shenzhen Synthetic Biology Infrastructure facility in Shenzhen, China, on Wednesday, Nov. 26, 2025.

Bloomberg | Bloomberg | Getty Images

Volatility is reshaping companies’ pipelines. Most of Xpeng’s new hires are recent graduates, CEO He Xiaopeng told reporters last month.

He claimed that despite a relatively small AI talent pool in both the US and China, the electric vehicle maker was able to hire 10 experts in driver assistance technology this year.

The company’s former vice president of autonomous driving is now head of Nvidia’s automotive division.

Beijing is building on this momentum as it seeks self-sufficiency in technology. The Ministry of National Education reported that one fifth of higher education programs has been renovated across the country in the last two years – with numerous majors being cut or added direct more students to artificial intelligence and integrated circuits fields.

It’s not that China is much better at attracting global AI talent, but its ability to keep more AI experts at home “could have a big impact on talent flow,” Tufts University’s Miller told me in an email.

Meanwhile, he said US immigration rules could make it harder for AI researchers to work in the US.

Quantity and quality

There is still debate about whether volume can consistently create value.

US-based OpenAI triggered the generative AI craze in 2022 with the release of ChatGPT-3.5, and other US companies such as Anthropic have launched models that are considered global benchmarks.

China’s DeepSeek made similar waves earlier this year when it claimed to have beaten OpenAI at little cost. Google raised the bar even higher with the Gemini 3 model last month.

While US AI models are not officially available in China, Washington restricts exports of Nvidia’s most advanced chips.

Despite the constraints, Chinese companies are increasingly finding ways to use scale in engineers, less advanced chips or data to gradually develop local AI capabilities. This is evident in how Chinese AI models rival OpenAI. part of the cost.

Developers in China are also doing more with less.

Chinese internet leaders have spent nearly 400 billion yuan ($56.58 billion) in capital expenditures this year, about a tenth as much as their U.S. counterparts, and have achieved “comparable” AI model performance, UBS Securities’ China internet analyst Wei Xiong said in a report last week.

While analysts sometimes warn of “circular financing” in the U.S. AI industry, fueled by investor money circulating within the same financing ecosystem rather than actual commercial revenue, China’s leading developers, by contrast, primarily benefit from domestic cash flow.

Big data advantages

Abundance of data is another advantage. The popularity of short videos in China has provided local companies with a wealth of educational materials. Alongside Google’s two models, the rest of the world’s top 15 image-to-video AI rendering models arrive from Chinese companiesAccording to AI benchmarking firm Artificial Analysis.

Chinese companies also published fastest growth Patent grants with telecom giant in the US last year Huawei ranks fifth generally among business firms.

The company’s global patent licensing revenue reached a record $630 million last year, with further growth expected in 2025, according to Huawei Vice President Alan Fan, who heads the company’s intellectual property rights department. He said customers are increasingly looking for patents related not only to 5G and Wi-Fi, but also audio and video technologies.

When we return home, Huawei also partnership with universities for Research and education related to artificial intelligence.

All these efforts contribute to the growth trend.

there is china Ranked first in the US index Measuring student performance in STEM-related Olympic competitions for several years. China’s scientific research contributions will surpass those of the United States in 2023, as tracked by the publisher of the scientific journal Nature. quadrupled this difference the following year.

But talent still flows in both directions. Lu Zhang, founder and managing partner of locally based Fusion Fund, told me that many Chinese founders are still moving to Silicon Valley to launch startups. He noted the benefits of operating in “one of the best corporate ecosystems.”

His biggest concern for the industry is insufficient electrical power, especially in the U.S. “I think we’ll run out of energy before we run out of GPUs,” he said.

Analysts say China increasingly has the upper hand in the energy field.

Of the three factors Miller identified in his Senate testimony for sustaining AI leadership — computing power, brain power and electrical power — human capital isn’t his only concern. “America has a significant lead in computing power, [but] “China is a leader in electrical energy.”

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