Did US Immigration Policy Cost America a Top AI Mind?
The artificial intelligence world is buzzing about Kimi K3, the latest model from Chinese startup Moonshot AI. In just a matter of days, the model generated so much excitement that the company had to temporarily pause new subscriptions after unprecedented demand overwhelmed its systems. Many industry experts are already calling Kimi K3 China's strongest answer yet to US-based competitors like OpenAI's ChatGPT and Anthropic's Claude, giving Beijing a significant boost in the high-stakes global AI race.
However, as Kimi K3 continues to make headlines, the conversation in Silicon Valley has increasingly shifted from the AI model itself to the man behind it: founder Yang Zhilin.
Who is Yang Zhilin?
Before founding Moonshot AI in China in 2023, Yang built a formidable academic and professional career in the United States.
After graduating from China's Tsinghua University, he earned a PhD in computer science from Carnegie Mellon University (CMU), recognized as one of the world's premier institutions for AI research.
At CMU, he studied under renowned machine learning researcher Ruslan Salakhutdinov.
During his time in the US, Yang also spent time working at major tech hubs, including Google Brain and Meta AI.
Now, with Moonshot AI growing into one of China's leading AI companies, investors and AI leaders are wondering: Did America let one of its brightest AI minds slip away?
The Debate Over US Immigration Policies
Some industry voices argue that America's strict immigration policies—particularly those shaped under the Trump Administration—are making it harder for the US to retain world-class talent.
Technology journalist and investor Tae Kim has emerged as a strong critic of current US immigration policies. Responding to claims that Yang returned to China simply because it was easier to build an AI company there, Kim called that argument "ludicrous," noting that a researcher with degrees from Tsinghua and CMU would have had little trouble raising money from US venture capitalists. He urged policymakers to staple green cards to the top AI computer science PhD degrees to ensure the US can "run the table on global AI talent".
Billionaire investor Bill Ackman shared similar sentiments, stating on X that the US needs to fix its immigration policy to admit creators who can build on American soil. "It makes no sense to educate the best and brightest at Federally subsidized educational institutions and then send them home," Ackman argued.
A significant part of this ongoing debate centers on Presidential Proclamation 10043, signed in 2020, which restricts entry for certain Chinese graduate students and researchers linked to institutions considered connected to China's military. Critics argue this created a chilling effect and additional uncertainty for researchers hoping to build careers in the US.
A Different Perspective: Was it Really About Visas?
However, not everyone agrees that Yang's specific decision was driven by immigration hurdles.
Yang's former PhD adviser, Ruslan Salakhutdinov, pushed back against what he described as "a lot of confusion and misinformation". According to Salakhutdinov, Yang had several opportunities to remain in the US and could have joined leading technology companies.
"In fact, I was on an email thread with a senior Apple exec (Tim Cook's reports) asking whether Zhilin would consider joining Apple," Salakhutdinov clarified.
When told Yang wanted to return to his homeland, Apple even offered him a position at their Beijing office.
Instead of staying in the US or joining an established tech giant, Yang had long planned to return to China and build his own AI startup. Salakhutdinov noted that there was no H-1B lottery denial or visa issue that forced Yang out.
Whether Yang's departure was due to policy or personal ambition, the debate highlights a growing anxiety in the US tech sector: as the global AI race accelerates, retaining the world's top intellectual talent will be just as crucial as developing the best algorithms.