Tina Huang is a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), where she focuses on the U.S. AI workforce and the strategic implications of military use of AI. Previously, she worked on a variety of national security topics at the Government Accountability Office, the Council on Foreign Relations, International Centre for the Study of Radicalisation, and Georgetown University. Tina is also the curriculum development specialist for Girl Security, where she creates modules aimed at teaching young girls about national security topics and careers, and an Advisory Board Member of the DC Carnegie New Leaders with the Carnegie Council for Ethics in International Affairs. Tina holds an M.A. in Security Studies from Georgetown University and a BA in International Studies from Emory University.

New ICE restrictions on foreign students speed up a trend that make it slower and costlier for immigrants to come to the United States, write Zachary Arnold and Tina Huang. America’s historic near-monopoly on the global market for foreign talent is fading.

“In the past five years, each of America's key economic competitors has instituted policies to attract highly skilled STEM talent," said CSET’s Tina Huang. She and Remco Zwetsloot joined the ChinaTalk podcast to discuss AI and immigration policy.

Current immigration policies may undermine the historic strength of the United States in attracting and retaining international AI talent. This report examines the immigration policies of four U.S. economic competitor nations—the United Kingdom, Canada, France, and Australia—to offer best practices for ensuring future AI competitiveness.

Talent is core to U.S. competitiveness in artificial intelligence, and international graduate students are a large source of AI talent for the United States. Retaining them in this country as they transition into the workforce is key. Graduate student retention has historically been a core U.S. strength, but that strength is endangered by recent events.

The Forbes AI 50 list “shows that foreign talent is critical to AI innovation—and that for now, the United States can still attract talent from around the world,” write CSET’s Remco Zwetsloot, Tina Huang and Zachary Arnold.

As the artificial intelligence field becomes more developed globally, the United States will continue to rely on foreign AI talent to stay ahead of the curve. Here are our preliminary recommendations to maintain current U.S. leadership, bolster the domestic AI workforce and improve the outlook for the future.