Sponsors (6)
The bill directs federal resources to expand AI education, infrastructure, and ethical training at under-resourced colleges to grow a more diverse, accountable AI workforce, but it increases federal spending and may produce limited, uneven impacts and administrative complexity if capacity and coordination are not sustained.
Students and faculty at HBCUs, MSIs, Tribal Colleges, and other under-resourced institutions receive new federal grants plus computing, networking, and data support to expand AI research, training, recruitment, and career pathways.
Broader geographic and demographic outreach increases diversity in the AI workforce, creating more inclusive career opportunities for racial and low-income groups.
Integration of ethics and responsible AI into education helps ensure future practitioners develop and deploy AI more safely and accountably.
Expanding targeted grants increases federal spending and may raise taxpayer costs if the program is not offset elsewhere.
Many smaller or excluded institutions may still lack capacity to compete or to scale AI programs even with grants, limiting immediate workforce impacts and producing uneven benefits.
New programs risk overlap and added administrative complexity with existing NSF and federal efforts, creating coordination burdens and potential waste.
Based on analysis of 2 sections of legislative text.
Authorizes NSF to award competitive grants to under-resourced colleges, HBCUs, MSIs, TCUs, and nonprofits to expand AI research, education, and workforce capacity.
Introduced January 20, 2026 by Valerie Foushee · Last progress January 20, 2026
Creates a new NSF grant program to broaden participation in artificial intelligence research, education, and workforce development. The NSF would competitively award merit-reviewed grants to eligible colleges, universities, nonprofit organizations, and consortia—especially institutions with lower federal R&D spending, HBCUs, minority-serving institutions, and Tribal Colleges—to build AI capacity through research, training, computing access, community-building, and ethics integration. Grants may fund faculty recruitment and training, bridge programs, access to computing and data resources, workshops, and other capacity-building activities. The NSF must emphasize outreach to underserved and geographically diverse communities, avoid duplicating existing programs, and consider student diversity and institutional resource needs in selection.