Sponsors (9)
Introduced December 11, 2025 by Emanuel Cleaver · Last progress December 11, 2025
The bill directs federal attention and funding to expand AI and tech education, retraining, and data transparency—benefiting students, underrepresented groups, and displaced workers—while creating new federal costs, administrative burdens, and risks of industry influence or uneven local implementation that may limit or complicate its benefits.
Workers and students nationwide will get clearer guidance and expanded training pathways in AI and emerging technologies, including resources targeted to community colleges, minority‑serving institutions, and Tribal Colleges, improving career transitions and job readiness.
K–12 students and teachers will see expanded computational thinking and technology curricula plus teacher professional development and recruitment support, increasing readiness for tech jobs and instructional capacity.
Underrepresented students (racial/ethnic minorities, girls, low‑income) will receive targeted supports and mentoring to reduce STEAM enrollment and achievement gaps.
All taxpayers will fund a new federal investment (roughly $250 million in FY2026) to support education and workforce grants.
Federal agencies, schools, and grant applicants will face increased administrative burdens and staff time to prepare mandated reports, comply with grant requirements, and perform evaluations, raising implementation costs and diverting staff effort.
Private‑sector engagement requirements risk allowing industry influence over curricula and priorities, which could prioritize employer needs over broader educational goals for students.
Based on analysis of 5 sections of legislative text.
Directs Labor, Commerce, and Education to report on AI’s workforce impacts, data needs, and affected jobs, and defines eligible entities and computational thinking for future education/workforce actions.
Requires the Secretaries of Labor, Commerce, and Education to prepare and submit a series of reports on how artificial intelligence (AI) is affecting the U.S. workforce, including data needs, data availability and ownership, and which industries and occupations will see AI growth or displacement. Sets deadlines for interim, final, and updated reports, encourages interagency coordination and data-sharing, and defines terms and eligible entities for programs to expand computational thinking and technology education across K–12, postsecondary institutions, workforce agencies, labor organizations, and Tribal schools. Notes findings about rapid growth in technology jobs and gaps in K–12 technology education access—especially in low-income, rural, and minority communities—and establishes definitions and eligible groups (schools, community colleges, technical institutions, workforce and labor organizations, higher education institutions) to guide future workforce and education efforts related to AI and computational thinking.