Sponsors (9)
Introduced December 11, 2025 by Emanuel Cleaver · Last progress December 11, 2025
The bill invests federal funds and structured planning to expand AI-era education and workforce training—especially for underserved institutions—but its long-term impact depends on sustained funding, employer cooperation, and enforceable protections, leaving risks that many workers and schools could be left behind or under-resourced.
Students, displaced workers, and low-income or underrepresented communities will get new federally funded AI and computing education, training, certifications, equipment, and broadband access that expand pathways to higher‑wage tech jobs.
Community colleges, technical colleges, minority‑serving institutions, and Tribal Colleges and Universities are prioritized for resources and grants, increasing access for populations historically excluded from tech training.
Teachers and paraeducators will receive professional development and technical assistance to teach AI and computing, improving schools' instructional capacity in emerging technologies.
Taxpayers could face new or increased federal spending if reports' identified policy gaps are pursued and programs are expanded beyond initial appropriations.
Grants are time‑limited and the program's long‑term impact depends on future appropriations and local sustainment plans, risking program discontinuation and loss of services for students and trainees.
Recommendations to employers and many program elements are nonbinding; without enforcement mechanisms, promised protections or job‑quality improvements for workers may not materialize.
Based on analysis of 5 sections of legislative text.
Requires multi-agency reports on AI’s workforce impact, sets definitions and eligibility rules, and frames efforts to expand equitable access to computing and AI education.
Directs the Departments of Labor, Commerce, and Education to study how artificial intelligence (AI) will affect jobs and workforce needs, deliver an interim report in 6 months, a final report in 1 year, and an updated report three years later, and to coordinate procedures for those reports. Establishes findings about large and growing demand for computing and AI skills, defines key terms (including “computational thinking” and a broad set of eligible education and workforce entities), and sets structural definitions and eligibility for programs to expand access to emerging and advanced technology education in K–12 and postsecondary settings. Requires the reports to identify needed workforce data, how much relevant data is privately owned, industries and worker groups most likely affected, gaps in skills and access, and strategies to ensure equitable access to training; creates a framework of eligible entities (state and local education agencies, tribal schools, community and technical colleges, labor organizations, workforce agencies, and institutions of higher education) that can participate in efforts to expand technology education. The text provided does not include explicit new funding or appropriations language.