America’s immigration policy is driving away future AI leaders

The Trump administration has proposed new fees for H-1B visas and is weighing a $100,000 fee on Optional Practical Training (OPT), the program that lets international graduates work in the U.S. for one to three years after graduation. In 2024, roughly 419,000 people were on OPT; for many, it was a decisive reason to choose a U.S. university over one in Canada, the U.K., or Australia.

Scientists and founders are voting with their feet: Yang Zhilin, a Carnegie Mellon Ph.D. who interned at Google and Meta and got a job offer from Apple, still went back to China to found Moonshot AI. Why? Because the U.S. visa system has no way to keep an entrepreneur like him.

1. The old pipeline is too slow for the AI era

The old model was: work at a big tech company for years, then start your own. AI has flattened that timeline — you can launch a company straight out of your Ph.D. at 25. The pool of people who can build frontier AI is tiny, and over two-thirds are foreign. They won't wait five years at someone else's company for a green card while their idea goes stale.

2. Other nations are recruiting; the U.S. is closing doors

Canada opened a path for U.S. H-1B holders and it was oversubscribed in a day. Australia, France, and others are openly courting U.S.-based researchers. China spotted the opportunity early, launched the Thousand Talents Plan in 2008, and pulled back over 7,000 people in a decade, while increasing research funding. The U.S., meanwhile, is cutting science budgets, slashing the post-graduation stay window from 60 days to 30, and trying to end birthright citizenship.

3. The U.S. needs an Office of Strategic Human Capital

The Pentagon's Office of Strategic Capital lends $10–150 million to companies building critical technologies. The author argues the U.S. needs an equivalent for people: identify brilliant international AI students in critical fields, hand them a long-term visa and $10 million, and tell them to go build.

Immigration reform takes years, and the damage being done now will be hard to undo. For decades, immigration to the U.S. was a one-way door — you came, you stayed, you built. That door now swings both ways. Yang Zhilin and chemistry Nobel laureate Omar Yaghi (who left Berkeley for Tsinghua) are only the most visible examples. If the U.S. doesn't act, China will pull ahead in the race for AI talent.