
NVIDIA’s CEO, Jensen Huang, has issued a crucial recommendation to the United States regarding its strategy for maintaining leadership in the rapidly evolving field of artificial intelligence (AI).According to Huang, a vital aspect of this strategy involves attracting talent from China.
Strategic Advice from NVIDIA’s CEO on Chinese AI Talent
In the landscape of AI, Huang suggests that while the U. S.excels in technology and infrastructure, China has a significant advantage through its pool of highly skilled AI professionals. During a recent interview with SCPS, part of the “Memos to the President”segment, Huang emphasized that over 50% of AI developers globally are based in China. He believes that the battlefield in this new technological race will be centered around securing top talent rather than merely advancing computing capabilities.
50% of the world’s AI developers are in China. The first job of any platform is to win all developers. The American tech stack should be the global standard. Just as the American dollar is the global standard.
Huang argues that facilitating the integration of NVIDIA’s AI chips into China’s market could potentially prevent Beijing from establishing independent alternatives, thus deepening the reliance on American technology. He has consistently criticized U. S.regulations limiting AI chip exports, asserting that such restrictions could stifle innovation and progress. Recent advancements in the Chinese AI ecosystem, particularly by startups like DeepSeek, underscore the exceptional capabilities of Chinese talent, which often outshine resources available to American firms.

Notably, many prominent figures in the American AI sector originate from China, including the founders of Scale AI and renowned expert Andrew Ng, as well as Jensen Huang himself. This highlights China’s ability to cultivate talent that excels in the global technology arena. Huang advises that American corporations should actively seek out and recruit these high-caliber professionals. With China commanding over half of the elite AI talent worldwide and making substantial progress in the field despite external pressures, the urgency for the U. S.to adapt its talent acquisition strategies is evident.
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