Sponsors (3)
The bill makes a targeted federal push to expand AI and computing education and better align training with labor-market needs—especially for underserved learners—but does so with new federal spending, administrative burdens, potential privacy and equity risks, and reliance on future appropriations and stakeholder cooperation.
Students (K–12 and postsecondary), displaced workers, and underserved communities gain expanded access to AI and computing education, training, and credentialing, improving opportunities for future and reskilled employment.
Education and workforce programs will be better aligned with labor market needs through clearer guidance on AI-related skills, industry-college partnerships, and credentialing pathways that help workers re-enter high-skill jobs.
Federal reporting, program evaluation, and required evidence-building create actionable data for Congress and states to craft more effective AI workforce and education policies and identify what programs scale.
The bill increases federal spending and creates uncertainty about program continuity because authorized funds (and non-binding recommendations) require future appropriations, exposing taxpayers to costs and program instability.
Grants, equipment caps, and matching/administrative requirements risk uneven rollout and could leave the neediest districts and rural or under-resourced schools behind.
Reporting, stakeholder engagement, and grant administration impose additional administrative burdens on federal agencies, schools, and nonprofits, potentially diverting staff time and slowing program delivery.
Based on analysis of 5 sections of legislative text.
Requires joint federal reports on AI's workforce impacts, defines terms for computing education programs, and documents findings on tech job growth and education access gaps.
Introduced December 3, 2025 by Lisa Blunt Rochester · Last progress December 3, 2025
Directs the Secretaries of Labor, Commerce, and Education to produce a series of reports on how artificial intelligence (AI) is changing jobs and worker skills, and records findings and definitions to guide federal efforts in computing and technology education. The law identifies priority topics for those reports (data access, industries most affected, skills needed, at-risk communities) and defines key terms and eligible entities for computing education programs; it sets report deadlines (interim in 6 months, final in 1 year, updated report 3 years after the final report).