Sponsors (10)
The bill directs federal funds, coordination, and grants to expand AI education and workforce training—especially for underserved communities—but relies on time-limited funding, voluntary employer cooperation, and constrained grant rules that may limit reach, sustainability, and equitable implementation.
Students (including low-income, rural, and racial/ethnic minority students) will gain expanded access to AI, computing, and digital learning resources through grant-funded programs, improved broadband/equipment access, and prioritized outreach.
Workers displaced or affected by AI (including unemployed and middle-class workers) can receive workforce training and industry-recognized certifications—via community and technical colleges prioritized by the bill—to transition into higher-skill, higher-wage tech jobs.
Federal coordination, required reports, and dedicated initial funding (e.g., specified FY2026 allocations) will produce actionable analysis, technical assistance, and an evidence base to guide future policy and program design.
Students, teachers, and displaced workers face uncertainty because the bill's direct federal funding is time-limited and future appropriations are not guaranteed—programs could stall or end if funds are not renewed.
Many eligible schools, colleges, and rural or small institutions may be left without support due to competitive grant design and limits (one award per entity), leaving gaps in geographic and institutional coverage.
Caps on equipment spending (e.g., 15%) and added reporting requirements may limit districts' ability to purchase necessary hardware and increase administrative burdens, reducing program effectiveness.
Based on analysis of 5 sections of legislative text.
Creates interagency AI workforce impact reporting requirements and defines terms and eligible entities to expand computing/AI education from K–12 through postsecondary.
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 reports on how artificial intelligence (AI) is affecting jobs and what data, skills, and equity measures are needed to prepare workers. Sets definitions for AI and education institutions, directs timelines for interim, final, and updated reports, and establishes findings and definitions to expand K–12 through postsecondary access to computing and AI-related education, including a detailed definition of “computational thinking” and lists of eligible entities for education programs.