This issue brief uses data from the National Science Foundation’s Survey of Doctorate Recipients to explore how many of the international students who earn STEM PhDs from U.S. universities stay in the country after graduation. The authors trace the journeys that these graduates take through the immigration system and find that most remain in the United States long after earning their degrees.

In an interview with Fortune, Margarita Konaev breaks down Russia's AI ambitions and how the current economic sanctions are hindering it progress.

If the U.S. is to succeed in semiconductor manufacturing, the recruitment of foreign-born talent to the U.S. is needed according to Research Analyst Will Hunt in an interview with the South China Morning Post.

CSET Research Fellow Diana Gehlhaus and a panel of distinguished experts discussed steps the United States should take to ensure a robust AI and AI-literate workforce in the future.

Margarita Konaev discussed Russia's stalled AI progress as a result of new technology sanctions and brain drain.

Research Fellow Diana Gehlhaus calls for coordination across the DOD to cultivating talent who can advance the use of AI in an opinion piece for Defense One.

The strength of a country’s talent pipeline depends in no small part on the quality of its universities. This data brief explores how Chinese and U.S. universities perform in two different global university rankings, why their standings have changed over time, and what those trends mean for graduates.

In the past decade, Chinese researchers have become increasingly prolific authors of highly cited AI publications, approaching the global research share of their U.S. counterparts. However, some analysts question the impact of Chinese publications; are they well respected internationally, and do they cover important topics? In this data brief, the authors build on prior analyses of top AI publications to provide a richer understanding of the two countries’ contributions to high-impact AI research.

This research agenda provides a roadmap for the next phase of CSET’s line of research on the U.S. AI workforce. Our goal is to assist policymakers and other stakeholders in the national security community to create policies that will ensure the United States maintains its competitive advantage in AI talent. We welcome comments, feedback and input on this vision at cset@georgetown.edu.

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.