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America's AI Success Relies on Chinese Experts as US Races to Beat CCP

Chinese-born researchers built much of America's AI edge. Now some are heading home.

President Donald Trump has made limiting China's involvement in America's most advanced technology a cornerstone of his strategy to win the AI race. As the United States prepares to host Chinese President Xi Jinping for a state visit on September 24, the country is grappling with a unique challenge: many of the researchers fueling America's AI advantage hail from China.

Xi is expected to discuss artificial intelligence extensively during his visit, with the two global powers having spent weeks debating whether to revive a long-delayed intergovernmental AI dialogue. President Trump has emphasized the race, stating, "WHOEVER WINS AI, WINS!" and suggesting that stringent regulations on the technology would benefit Beijing.

However, this technological edge is contingent on foreign-born talent, and China is increasingly reclaiming some of it. Yao Shunyu, a researcher from Tsinghua University and Princeton who left OpenAI in 2022 to join Tencent, has become Tencent's chief AI scientist. He aims to establish a long-term AI research organization in China.

Another example is Yang Zhilin, who completed his undergraduate studies at Tsinghua University in 2015, earned a doctorate from Carnegie Mellon University, and returned to China in 2023 to establish Moonshot AI. The company has raised over a billion dollars and developed the Kimi model series, now recognized as one of the strongest open-source models, which American startups are utilizing alongside Alibaba's Qwen due to cost and performance considerations.

Historical friction has contributed to this trend. According to a study by the Carnegie Endowment for International Peace, factors such as visa uncertainty, indictments that later collapsed, and a pervasive sense of suspicion have accumulated since 2018. The study tracked 100 top-tier Chinese-origin AI researchers working in the U.S. in 2019 and found that 10 had moved to Chinese companies or universities by 2022.

Notably, two founded startups, two assumed leadership roles in Chinese tech companies, and five became professors at leading Chinese universities. Only 87 of the 100 researchers remained in American institutions, with 41 working for U.S. companies, 40 holding professorships at U.S. universities, and six pursuing further education.

Despite this, the U.S. remains reliant on Chinese talent for AI advancements. Studies have shown that authors originally from China contribute significantly to American AI research output. However, recruiting the next generation of Chinese researchers to the U.S. is proving difficult, with the share of Chinese-origin researchers in top-tier AI papers increasing from 29 percent in 2019 to 47 percent in 2022, while their presence in U.S. institutions has declined from 59 percent to 42 percent.

Factors contributing to this shift include proposed visa restrictions, indictments against Chinese researchers, and a decline in daily flights between the two countries.

This shift in talent distribution could potentially impact America's ability to attract Chinese talent, with implications for its AI competitiveness. The White House has not commented on these developments.

Written by urgent.news from Newsweek's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at newsweek.com →

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