Sponsors (25)
The bill directs federal resources to expand AI education and workforce development across K–12, community colleges, and higher education—boosting training, employer engagement, and evidence-based programs—while increasing federal spending and posing risks of uneven access, exclusion of some applicants, and potential student data/ethics concerns.
Students (K–12, community college, undergraduate, graduate) and employers: expanded AI training, experiential learning, and early exposure link learners to jobs and expand the qualified AI workforce across sectors (teaching, advanced manufacturing, agriculture).
Students, faculty, K–12 educators, and industry professionals: scholarships and one-year fellowships (tuition, fees, stipends, professional development) reduce financial barriers to pursue AI education and training.
Rural, Tribal, EPSCoR, and emerging-research institutions: targeted outreach improves access to AI training and resources, broadening participation beyond major research universities.
Taxpayers: funding scholarships, up to eight centers, NSF awards, and pilot cohorts increases federal spending and could raise taxpayer costs depending on appropriations.
Rural communities, small community colleges, low-income districts, and less-funded regions: programs and centers may favor well-resourced institutions or regions and impose application/partnership requirements smaller schools cannot meet, risking wider disparities in access and benefits.
Students and parents: classroom use of AI and related research may create student data privacy, bias, and ethical risks if safeguards and protections are not robust.
Based on analysis of 4 sections of legislative text.
Authorizes NSF scholarships/fellowships, regional community-college AI centers, K–12 AI research awards, and an educator cohort pilot to expand AI education and workforce pathways, subject to funding.
Authorizes the National Science Foundation (NSF) to fund AI-focused scholarships and fellowships, create up to eight regionally distributed community-college centers of AI excellence, support K–12 research on AI in education, and run a pilot peer-cohort program for K–12 educators. Programs target undergraduate and graduate students, faculty, industry and school professionals, community colleges and area career and technical schools, and K–12 teachers and leaders, with outreach to rural, Tribal, emerging research, and EPSCoR institutions and reporting requirements to Congress. Awards and centers are to be made through competitive, merit-reviewed processes and may use existing NSF programs; most activities are subject to appropriations. Scholarships can cover tuition, fees, stipends, and professional development (up to five years); fellowships may cover similar costs (generally up to one year). NSF must evaluate outcomes, report findings to Congress, and publicly share evaluations on a set timetable.
Introduced September 15, 2025 by Vince Fong · Last progress September 15, 2025