Sponsors (11)
The bill invests federal resources and coordinated analysis to expand AI-related education and workforce training—especially for underserved communities—but its effectiveness depends on sustained funding, employer cooperation, and nonbinding recommendations may leave enforcement gaps while imposing fiscal and administrative costs.
Students and workers (including displaced workers) will gain clearer guidance, training, and pathways into AI-era and higher-wage tech jobs through coordinated studies and grant-funded training and certifications.
Federal grants and appropriations (including initial FY2026 funding) create new resources to scale AI-related education, workforce programs, technical assistance, and evaluation.
The bill prioritizes community colleges, technical colleges, minority-serving institutions, Tribal Colleges and Universities, and other underserved communities for resources, aiming to reduce geographic and demographic inequities in tech education.
Many benefits hinge on continued appropriations and follow-through: grants may lapse after initial terms and reporting timelines do not guarantee programs scale in time, leaving vulnerable workers unprotected.
If reports identify policy gaps that lead to new programs, taxpayers could face additional federal spending and recurring costs to implement recommended measures.
Private employers may resist sharing proprietary workforce data, limiting the completeness and usefulness of studies and delaying effective policy or program design.
Based on analysis of 5 sections of legislative text.
Requires multi-agency reports on AI's workforce impacts and defines programs, eligible entities, and curricular terms to expand computing and AI education with an equity focus.
Official title: To promote a 21st-century workforce, to authorize grants to support emerging and advanced technology education, and to support training and quality employment for workers in industries most impacted by artificial intelligence.
Introduced December 11, 2025 by Emanuel Cleaver · Last progress December 11, 2025
Requires Labor, Commerce, and Education to produce a series of reports on how artificial intelligence (AI) affects U.S. jobs, what data is needed to study those effects, which industries and workers are most affected, and what training or access is needed to prepare the workforce. Establishes findings about gaps in access to computing and AI education, defines key terms (including “computational thinking”) and a broad set of eligible entities that can run or participate in programs to expand emerging and advanced technology education in K–12, postsecondary, Tribal, and workforce settings. Sets deadlines for an interim report (6 months), a final report (1 year), and an updated report (3 years after the final report); allows a Memorandum of Understanding among the three agencies to set procedures; and creates a statutory framework of definitions and eligibility for programs to expand computing, AI, and related technical education (but does not specify new funding in the provided text).