In an opinion piece for the Council on Foreign Relations, Research Fellow Diana Gehlhaus discussed why the United States needs to make AI education a priority.

In an interview with Inside Higher Ed, Research Analyst Jack Corrigan explains how university AI faculty staffing is unable to keep pace with student demand.

In his opinion piece in The Hill, Research Analyst Luke Koslosky discusses the role of community colleges in training the next generation of the U.S. AI workforce.

A CSET study finds that U.S. universities do not have enough teachers to meant the growing demand for an AI education.

Universities are the engines that power the AI talent pipeline, but mounting evidence suggests that U.S. computer science departments do not have enough faculty to meet growing student interest. This paper explores the potential mismatch between supply and demand in AI education, discusses possible causes and consequences, and offers recommendations for increasing teaching capacity at U.S. universities.

In an opinion piece for The Hill, Research Analyst Will Hunt and CSET Alum Remco Zwetsloot argue that funding from the U.S. Innovation and Competition Act and the America COMPETE Act isn't the only resource needed to bolster U.S. supply chains. The U.S. is in need of STEM talent to compete.

Deemed by OODA Loop as one of the best policy research organizations that they track and analyze, the article gives an overview of CSET's latest brief on the U.S. retention of foreign STEM talent.

Community and technical colleges offer enormous potential to grow, sustain, and diversify the U.S. artificial intelligence (AI) talent pipeline. However, these institutions are not being leveraged effectively. This report evaluates current AI-related programs and the associated number of graduates. The authors find that few AI and AI-related degrees and certificates are being awarded today. They propose five recommendations to address existing challenges and harness the potential of these institutions to train tomorrow’s AI workforce.

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.