By Mike Magee
Last week, after a visit to the White House, Jensen Huang appointed a wholesaler in reversing policy Van Trump who blocked the Nvidia sales from his H20 chip to China. What did Jensen say?
We can only guess. But he probably shared the results of Own report of listed AI researchers at Digital science That suggested that an immediate correction of the policy course was crucial. In addition to the fact that more than 50% of all AI researchers are currently located in China, their studies documented that “scientists established in China only produced 671 AI articles in 2000, but in 2024 their 23,695 AI-related publications at the top of the combined output of the United States (2747), the United Kingdom” “”
David Hook, CEO of Digital science Became a declarative in the opening of the report, which stated that “American influence in AI research is decreasing, with China now dominating.”
China now supports over 30,000 AI researchers Compared to only 10,000 in the US. And that number is shrinking thanks to the American rate and visa shenanigans, and open attacks by the administration at our most important academic institutions.
Economy professors David author (MIT) and Gordon Hanson (Harvard), known for “their research into how globalization, and especially the rise of China, the American labor market,”, described the elements of the elements famous “China Shock 1.0.” In 2013. It was “a single process-the transition from China from the late 1970s from the Maoist central planning to a market economy, which quickly moved the labor and capital of the land of collective rural farms to capitalist urban factories”. “
As a result, A quarter of the American production paths disappeared between 1999 and 2007. Today today The production of China production Tops 100 million, the American production assignment of 13 million. Those figures peaked ten years ago when the range of low costs of China reached a peak. But nowadays, China clearly looks ahead, while this administration and her advisers are left in the rear -view mirror.
Welcome to “China Shock 2.0” wrote Auto and Hanson in a recent New York Times editorial. But this time their leaders focus on “Key Technologies of the 21st Century … (and it) will last as long as China will have the means, patience and discipline to compete fiercely.”
The highly respected Australian Strategic Policy InstituteFinanced by their Ministry of Defense, the volume of published innovative technology research in the US and China has been following for more than a quarter of a century. They see this as a measure of the opinion of experts where the greatest innovations arise. In 2007 we led China in the previous four years in 60 of 64 “Frontier technologies.”
Two decades later, The table is turned around, with China well before the US in 57 of 64 measured categories.
In AI algorithm research, China had 29% of the articles for our 12%. With high performance they had 36% to our 13%. And in Machine Learning they have tipped the scale at 40% compared to our 11%.
According to Autor and HansonChina is the “Apex Predator” in a struggle that marries “economic Darwinism with Chinese industrial policy.” While Musk dismantled our national planning and financing apparatus, the Chinese government focused on our most innovative sectors, including “Aviation, AI, telecommunications, microprocessors, robotics, nuclear and merger, Kwantum Computing, Biotech and Batteries.”
The warnings may sound stark, but this is a wrong reading of historical proportions. And it all comes down to one word. Rates. And when it comes to the Trump rates, no country has been treated with greater hostility than China, which means that this reprimand of deliberate American isolationism in January 2025 by the Harvard Business Review: “Even with data privacy and safety problems – American LLMS will ignore the Chinese LLM Disruption threat at your own risk.”
In the newspaper, Harvard Business School Professor, RAJ Choudhury worked together with Syracuse University Business Management Professor Natarajan Balasubramanian and Tsinghua University Economist Mingtao XU to answer the timely question “Why Deepseek should not have been a surprise.”
For those who are not familiar with the controversy, the American generative AI superegos had recently been run in overdrive, beating and philosophizing (between Raketreizen and Matings of Mars), then a little -known Chinese Upstart, Deepseek, Disrupt the apple car with their open source release of a “smaller, more efficient and much, much cheaper LLM.”
The timing could not have been more uncomfortable for our technocratic elites – the drivers of Anthropic’s Claude, Google’s Gemini, open AI’s Chatgpt, Microsoft Copilot, Musk’s X.AI and Metai.
These own self-proclaimed Techno-Geniuses are fully committed to repeat each other. But that does not prevent them from embracing the atmosphere of Open Ai’s Sam Altman, who recently wrote an OP-ED title “The Intelligence Age” In which he explained: “Technology brought us from the stone era to the agricultural era and then to the industrial era. From here, the path to the (AI enabled) Intelligence Is paved with calculation, energy and human will. “
And these American billionaires have put their money where their mouths are, burning huge amounts of capital while building a whole new, fully financed industry – the creation of generative AI factories that require so much energy that investment in our once budding nuclear energy industry has now gone through the roof and Musk has officially registered a new city for himself and its AI followers, Starbase, TX.
In the meantime, Rand researchers such as Kyle Chan were report That “China applies state aid to their entire AI tech stack, from chips and data centers to energy.” The strategy of the Chinese government focuses on three coordinate construction blocks: 1) calculation capacity, 2) vertical integrated and accessible Chinese data and 3) trained engineers.
At the same time, the government finances networks of private laboratories dedicated to public/private partnership and stimulating local government leaders in cities throughout the country to support hundreds of AI-research start-ups. A city in South -China, Hangzhouwho had already been housed huge Alibabacreated a part of the city, called Dream citynow the place of birth and a permanent place of residence of Deepseek.
Rand’s Kyle Chan recently marked the fact that China has changed adversity (Trump’s rates) into a motivating tool. By keeping their LLM discoveries open source (because American companies tend to improve future profitability), authoritarian China, which is supposed to be against transparency and accessibility, has, according to The Atlantic OceanTo “move exactly in the opposite direction from where the American technical industry is going.”
Why Deepseek now? Manage experts Suppose this is just “classic disruption theory in the game.” An example of this was what happened to the steel industry decades ago when integrated steel plants with high-end customers of high-quality sheet steel won less efficient electric arc ovens. In response, with inferior technology, with inferior technology, adapted and specialized in tackling low -end tasks such as creating steel reinforcement steel for strengthening concrete construction. The established operator was then forced to “hand over the market share to the disrupter.”
In this case Deepseek can be inferior technology for the next largest version of Chatgpt, but it seems good enough to offer “Industrial -specific applications Powered by their LLMs that are deeply integrated into China’s digital ecosystems. “Chinese LLMs are more specific and less common.
How low? For software developers around the world, DeepSeek-R1 95% is cheaper than using the O1 product of Open AI and thus effective. Satya Nadella, CEO of Microsoft, says that the kind of prices ensure that AI “shoots up, which makes it a trading state that we just can’t get enough of.”
Bottom Line? Under the nose of America, China has become ‘democratic’ by finding their code open, involving global software developers and users and placing the best competitor of America (at least for the time being) in the driver’s seat.
Mike Magee MD is a medical historian and regular correspondent at THCB. He is the author of Blue code, in the medical industrial complex of America. (Grove/2020).
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