517/25.11:29AMAITalentReport|CEA|TheWhiteHouse,JANUARY14,2025AI Talent ReportExecutive summaryThe number ofgraduates in the United States with AI-relevant technicaltraining has risen in recent years along with major breakthroughs in AI.CEAinvestigates the capacity of the United States to meet the growing demand for AI talent . We begin by documenting the growingdemand for AI talentand develop aclassification svstem for categorizing AI-related postsecondary degrees into two relevant categories:AI software and AI hardware. Usingthis degree classification system, we explore the level and growth of thesupply ofgraduates in Al-relevant degrees from U.S. institutionsofhighereducation overall and in comnarison to other countries Wefind that.The numberofAI-relevant craduates (bachelor's. master's. anddoctorate) in the United States has increasedsiemificantlvinthelastdecade.driven by growthin BA and MA degreeso Non-U.S.citizens make up a significant share of graduates, with non.U.S. citizenPhD students making up nearly half of AI-relevant PhDgraduates.o Most AT-relevant PhDoraduates from ILS institutionsare trainedatpublic universitiesInternationally, the UnitedStatesproducesmore Al-relevant degrede graduates than most countries, with the notable exceptions of Indial(which produces more Al-relevant BAs) and China (which oroduces bothmore relevantBAs andPhDs),o The number of AI-relevant BA and PhD graduates is growingfasterin Chinathanin the United Stateshttos/bidenwhitehousearchives aovlcealwritten-materials/2025/01/14/ai-talent-reoort1/45
517125,11:29AMAITalentReport|CEA|The White-House,TheUnited Statesstill produces alargershare of topAI researchersand continues to be the world leader in housing top AI labs andproducing frontier AI models Demand for AI talent (to the limited extent we can assess it) appears tobe growing at an even faster rate than the increasing supply of AI talenttrained in U.S. colleges and universitiesThe United Statescould increase itssupply ofAI talentinthree broadways:1) increasing the number of students training at U.S. institutions, 2)increasing post-graduate infow of students trained abroad and reducing post-graduate outflow of students trained in the United States, and 3providing incentivesfor capable workers to switch into AI sectors.The report concludes by discussing policy interventions that could supportthese three naths to increasing the supply of AI talentMotivationwhile Artifcial Intellizence (AD) is still in its earlv stages of development, its rapid integration into everyday life has important economic implications,especially for productivity and competitiveness. The enormous potential ofAI to shape critical infrastructure and technology also makes it a key focus of national security policy.At the most basiclevel, most of todav'sadvancedAlsystems are produced by usingcomputing power to train models by exposingthem to large volumes of data. Discussions of the capacity of the UnitedSta...
