A CSET study finds that international STEM PhD students studying in the United States stay after graduation.

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

CSET's Margarita Konaev unpacks Russia's diminishing tech development as a result of tech brain drain and severed foreign partnership from its invasion of Ukraine.

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.

CSET Research Analyst Dakota Cary testified before the U.S.-China Economic and Security Review Commission hearing on "China’s Cyber Capabilities: Warfare, Espionage, and Implications for the United States." Cary discussed the cooperative relationship between Chinese universities and China’s military and intelligence services to develop talent with the capabilities to perform state-sponsored cyberespionage operations.

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.

CSET's Anna Puglisi spoke with University World News on China's tech talent pivoting away from big tech companies and returning back to academia.

In an opinion piece for The Hill, Research Fellow Diana Gehlhaus calls for a clear U.S. AI workforce policy if the U.S. wants to be the leader in AI talent drawing from her latest report.

In her latest CSET report, Research Fellow Diana Gehlhaus discusses the United States' lack of a defined AI education and AI workforce policy, and offers policy recommendations.

This policy brief addresses the need for a clearly defined artificial intelligence education and workforce policy by providing recommendations designed to grow, sustain, and diversify the U.S. AI workforce. The authors employ a comprehensive definition of the AI workforce—technical and nontechnical occupations—and provide data-driven policy goals. Their recommendations are designed to leverage opportunities within the U.S. education and training system while mitigating its challenges, and prioritize equity in access and opportunity to AI education and AI careers.