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America’s immigration policy is driving away future AI leaders

The Trump administration's proposed $100,000 fee on Optional Practical Training and a shortened post-graduation stay window from 60 to 30 days are pushing international AI talent away from the U.S., according to a new analysis. More than two-thirds of AI graduate students in the U.S. are international, and 419,000 people worked on OPT in 2024. The policy contrasts with the case of Yang Zhilin, who returned to China to found Moonshot AI after earning a Ph.D. at Carnegie Mellon University and interning at Google and Meta, because the U.S. visa system lacked a path for him to build his own company.

read5 min views5 publishedAug 25, 2026
America’s immigration policy is driving away future AI leaders
Image: Restofworld (auto-discovered)

The Trump administration has proposed a new fee for H-1B visas, while weighing a $100,000 fee on Optional Practical Training, the program that allows international graduates to work in the U.S. for one to three years after finishing their degrees. Roughly 419,000 people were working on OPT in 2024. For many of them, it was likely a major factor in choosing an American university over a school in Canada, the U.K., or Australia.

It is ironic that just weeks ago, headlines lamented the fact that one of the most talented international students we’ve seen in recent years chose to return to China, the U.S.’ biggest competitor. Yang Zhilin then went on to set up Moonshot AI, whose Kimi K3 open model has drawn comparisons to models from OpenAI and Anthropic. Why didn’t he build his company in the U.S.? After all, Yang got his Ph.D. at Carnegie Mellon University. He interned at Google and Meta, and received a job offer from Apple. But Yang wanted to build his own company, and our visa system didn’t have a way to keep him here in the way that he wanted.

Some experts have proposed stapling a green card to every AI Ph.D. diploma — and they’re not wrong, but this idea and the OPT assume that the brightest minds want to work for our big tech companies first, then build after learning from the giants for several years. That’s not the case anymore.

Work experience isn’t as relevant when AI has flattened and accelerated everything. Founders are starting companies in their mid-20s — straight out of or even before finishing their Ph.D. The population capable of starting a frontier AI company is small, and more than two-thirds of these individuals are foreign. That cohort isn’t likely to want to spend five years or more in someone else’s company waiting for a green card, watching their idea age out.

40%The share of Nobel Prizes won by Americans in chemistry, medicine, and physics since 2000 that have gone to immigrants in the country.

And what does the U.S. do? It tightens and slows down its immigration system. In addition to the $100,000 for OPTs, the window for students to remain in the country after finishing a degree has been cut from 60 days to 30 to combat “rampant visa abuse.” Which means students will spend the last year of their Ph.D. stressing about finding a job quickly, instead of thinking about how to commercialize their ideas.

The Trump administration is also trying to end birthright citizenship, which is another draw for immigrants. Officials even floated the idea of barring foreign employees at U.S. labs from frontier-model access before the industry pushed back.

Other nations have taken notice of these actions, and are using them to their own advantage. Canada opened a program for U.S. H-1B holders and had to close it within a day since it was oversubscribed. Australia, France, and others are openly running recruitment campaigns aimed at researchers based in the U.S.

China spotted an opportunity even earlier: It launched the Thousand Talents Plan in 2008 and pulled back more than 7,000 people within a decade. China has recently increased funding for research while the U.S. has cut science funding, and that is proving to be a big incentive for some. Omar Yaghi, who was born into a refugee family in Jordan and came to the U.S. as a teenager to study, shared the Nobel Prize in chemistry last year. He recently left his faculty post at the University of California, Berkeley, for a position at Tsinghua University in Beijing, where he will lead an institute using AI to accelerate the discovery of new materials.

Yaghi was just one of many immigrant Nobel laureates in the U.S. Immigrants have been awarded 40% of the Nobel Prizes won by Americans in chemistry, medicine, and physics since 2000, according to a recent report by the National Foundation for American Policy, a research organization.

The high number of immigrant Nobel Prize winners reflects “a greater openness to immigration that has helped make the U.S. the leading global destination for research in many different science and technology fields, including computer and information sciences, cancer research and others,” the NFAP said.

If we persist in making it harder for international students to come to and stay in the U.S., this may no longer be true. Today, the Pentagon’s Office of Strategic Capital, set up in 2022, will lend a company between $10 million and $150 million to** *build technologies deemed to be critical to national security. What we also need is an Office of Strategic Human *Capital that can identify brilliant international AI students in critical fields and say, here is your long-term American visa, here is $10 million, go build. In September, the U.S. and China are scheduled to hold talks on AI. Chip export control is sure to be a hot topic of discussion. What they will not admit is that you can’t export-control where a person decides to build a company. For decades, the U.S. was the first choice, but this is not the case anymore.

Immigration reform will take years, and the damage that is being done now will be hard to undo. For decades, for people like me and my family, immigration to the U.S. was a one-way door: You came, you stayed, you built here. The door swings both ways now. Yang Zhilin and Omar Yaghi** **are just the most visible examples of this. They will not be the last, and if the U.S. does not act, China will pull ahead in the race for AI talent.

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