This report is from this week’s CNBC’s The China Connection e-newsletter, which brings you insights and evaluation on what’s driving the world’s second-largest financial system. You possibly can subscribe right here.
The massive story
Chris Miller, creator of the ebook “Chip Struggle,” warned three years in the past that the steadiness of recent energy hinges on a semiconductor provide chain crossing geopolitical fault traces. Now, the Tufts College historian is elevating a brand new concern: the U.S. dangers shedding its benefit over China in synthetic intelligence expertise.
With regards to mind energy, “America’s edge is deteriorating dangerously,” Miller advised a U.S. Senate Overseas Relations subcommittee final week. It is a lead that is “fragile and far smaller” than its benefit in AI chips, he stated.
Carnegie Endowment researchers echoed these considerations a day later, noting China has been producing extra top-tier AI researchers over the previous couple of years, whereas fewer are heading to the U.S.
A part of the distinction comes from sheer scale, particularly as schooling ranges rise in China.
Its inhabitants is quadruple that of the U.S., and the identical goes for the amount of science, know-how, engineering and arithmetic (STEM) graduates. In 2020, China produced 3.57 million STEM graduates, essentially the most of any nation, and much outpacing the 820,000 within the U.S.
The expansion of China’s larger schooling graduates has been dramatic, rising ninefold in only one technology. The share of adults with not less than a grasp’s diploma rose from simply 0.1% on the flip of the century to just about 0.9% twenty years later.
The U.S., ranging from a a lot larger base, has seen the identical ratio climb much more steadily from 8.7% to 14.1% throughout that point.
Researchers inside a lab on the Shenzhen Artificial Biology Infrastructure facility in Shenzhen, China, on Wednesday, Nov. 26, 2025.
Bloomberg | Bloomberg | Getty Photographs
The surge is reshaping corporations’ pipelines. Most of Xpeng’s new hires are contemporary graduates, CEO He Xiaopeng advised reporters final month.
He claimed that regardless of a comparatively small pool of AI expertise in each the U.S. and China, the electrical car producer was capable of recruit 10 specialists in driver-assist know-how this yr.
The corporate’s former vice chairman of autonomous driving now heads Nvidia’s automotive division.
Beijing is engineering extra of this momentum because it seeks tech self-sufficiency. The Ministry of Training stated in August that one-fifth of larger teaching programs nationwide have been revamped within the final two years — with a slew of majors reduce or added — to channel extra college students into AI and built-in circuits fields.
It is not essentially that China is a lot better at attracting international AI expertise, however the potential to maintain extra AI specialists at dwelling “may have a serious influence on expertise flows,” Tufts College’s Miller identified to me in an electronic mail.
In the meantime, U.S. immigration guidelines may make it troublesome for AI researchers to work within the U.S., he stated.
Amount vs. high quality
There’s nonetheless debate over whether or not quantity can constantly create worth.
U.S.-based OpenAI triggered the generative AI craze in 2022 with the launch of ChatGPT-3.5, and different U.S. corporations, corresponding to Anthropic, have launched fashions which are thought-about international benchmarks.
China’s DeepSeek solely made comparable waves early this yr with its declare to have overwhelmed OpenAI at solely a fraction of the fee. Google raised the bar additional final month with its Gemini 3 mannequin.
The U.S. AI fashions are formally unavailable in China, whereas Washington restricts exports of Nvidia’s most superior chips.
Regardless of the restrictions, Chinese language corporations have more and more discovered methods to make use of scale — whether or not in engineers, much less superior chips or information — to steadily construct home AI capabilities. That is obvious in how Chinese language AI fashions rival OpenAI at a fraction of the fee.
Builders in China are additionally doing extra with much less.
Chinese language web leaders spent about 400 billion yuan ($56.58 billion) in capital expenditure this yr — about one-tenth of their U.S. friends, whereas attaining “comparable” AI mannequin efficiency, Wei Xiong, China web analyst at UBS Securities, stated in a report final week.
And whereas analysts typically warn of “round financing” within the U.S. AI trade — buoyed by investor cash that circulates throughout the identical funding ecosystem fairly than real business income — China’s main builders, against this, are drawing totally on inside money move.
Huge information benefits
Information abundance is one other benefit. The recognition of quick movies in China has given native corporations a hoard of coaching materials. Except for two fashions from Google, the remainder of the world’s prime 15 image-to-video AI technology fashions got here from Chinese language corporations, in keeping with AI benchmarking agency Synthetic Evaluation.
Chinese language corporations have additionally posted the quickest progress in U.S. patent grants final yr, with telecom large Huawei rating fifth total amongst business corporations.
The corporate’s international patent licensing income hit a document $630 million final yr, with additional progress anticipated in 2025, in keeping with Huawei Vice President Alan Fan, who heads the corporate’s mental property rights division. He stated shoppers are more and more in search of not solely 5G and WiFi-related patents but additionally audio and visible applied sciences.
Again dwelling, Huawei can also be partnering with universities for AI-related analysis and coaching.
All these efforts add to a rising pattern.
China has ranked first in a U.S. index measuring pupil efficiency in STEM-related Olympiad competitions for a number of years. China’s scientific analysis contributions, as tracked by the writer of the scientific journal Nature, surpassed the U.S. in 2023 — and quadrupled that lead the next yr.
But expertise nonetheless flows each methods. Many Chinese language founders are nonetheless shifting to Silicon Valley to launch startups, Lu Zhang, founder and managing accomplice of the regionally based mostly Fusion Fund, advised me. She pointed to the advantages of working inside “top-of-the-line enterprise ecosystems.”
Her larger fear for the trade is inadequate electrical energy, particularly within the U.S. “I believe earlier than we run out of GPU we will run out of power,” she stated.
And power is the place analysts more and more say China has the higher hand.
Within the trinity of things that Miller recognized in his Senate testimony for sustaining AI management —computing energy, mind energy, and electrical energy — human capital is not his solely fear. “America has a considerable lead in computing energy, [but] China leads in electrical energy.”
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Kevin Liu, chief offshore China and abroad strategist at CICC, stated there’s nonetheless a strategy to go earlier than AI demand, investments, and valuations attain the degrees seen on the peak of the dotcom-era bubble.

Eswar Prasad, professor at Cornell College and former head of IMF’s China division, sees “no clear alternative” for the U.S. and China to extend direct commerce.

Paul Triolo, Companion at DGA-Albright Stonebridge Group, mentioned U.S. chip coverage and the prospect of the SAFE CHIPS Act turning into legislation amid intense chip competitors with China.
Have to know
Quote of the week
China is catching up quickly [in AI] with the chips, with the functions. If we have a look at the quantity from the highest down, macro perspective, China isn’t lagging that a lot behind with U.S. For instance, the full quantity of funding concerning know-how [by China] is 70% of U.S. has been doing.
Within the markets
Chinese language markets fell Wednesday as buyers parsed the most recent inflation print. Hong Kong’s Grasp Seng index slipped 0.56%, and the mainland CSI 300 declined 0.78% after China’s shopper costs rose 0.7% from a yr earlier, its highest stage since February final yr.
Each benchmarks are set to interrupt a two-week profitable streak. The Grasp Seng Index has dropped over 2% since Monday, whereas the CSI 300 is down 0.5% over the identical interval. For the yr up to now, the Grasp Seng is up over 26%, whereas the CSI 300 has gained greater than 15%.
The offshore yuan final traded at 7.0605 in opposition to the greenback, its strongest stage since October 2024.
— Lee Ying Shan
The efficiency of the Shanghai Composite over the previous yr.
Developing
Later this week: Central Financial Work Convention (anticipated)
Dec. 15: China to launch November retail gross sales, industrial manufacturing and funding information
Dec. 16: Deadline for TikTok divestiture

