Sponsors (4)
The bill channels federal funding to expand AI research, training, and ethical education at under-resourced colleges—strengthening national AI capacity and diversifying the talent pipeline—while increasing federal spending and risking uneven distribution and data-privacy/security issues unless implementation includes strong equity and governance safeguards.
Universities, nonprofits, and industry partners gain expanded U.S. AI R&D capacity and public–private collaboration through funded access to computing, networking, data, and community-building activities.
Students at HBCUs, MSIs, TCUs, and other non-top-100 research institutions get increased access to AI research, training, and bridge-to-graduate programs via competitive NSF grants.
The bill supports workforce development by funding workshops and programs to broaden participation, helping create a more diverse AI talent pipeline for industry and government.
If outreach and selection are poorly implemented, funds could concentrate regionally or go to better-resourced applicants, limiting intended benefits for low-income and marginalized communities.
Expanding data and computing access increases operational risks around data governance, privacy, and security unless clear safeguards and oversight are put in place.
Taxpayers bear the cost of new grants and outreach activities, raising federal spending without guaranteed outcomes or measurable returns.
Based on analysis of 2 sections of legislative text.
Directs NSF to competitively award grants to HBCUs, MSIs, TCUs, lower-R&D colleges, and nonprofits to build AI research, education, and workforce capacity.
Creates a new NSF grant program to expand U.S. capacity, participation, and partnerships in AI research, education, and workforce development by directing the National Science Foundation to competitively award merit-reviewed grants to eligible colleges, universities, and nonprofit organizations that are underresourced or historically underrepresented. Eligible recipients include non-top-100 R&D institutions, HBCUs, MSIs, TCUs, and consortia; awards may fund research program development, faculty recruitment, bridge programs, computing and data access, ethics in curricula, community-building, and related capacity-building activities. Requires NSF to conduct outreach to eligible institutions, emphasize geographic and demographic inclusion (especially underserved and historically underrepresented groups), avoid duplicating existing programs, and consider applicant diversity and resource constraints; definitions for eligible institution types are referenced to existing higher education and tax code definitions. The bill authorizes NSF to make these grants but does not specify funding amounts or appropriations in the text provided.
Introduced January 20, 2026 by Valerie Foushee · Last progress January 20, 2026