Sponsors (3)
The bill invests in education, workforce training, and data-driven policymaking to prepare students, underserved institutions, and displaced workers for an AI-driven economy, but it requires new federal spending and creates administrative, privacy, and flexibility trade-offs for agencies, recipients, and taxpayers.
Students across K–12, pre-K, community colleges, minority-serving institutions, and Tribal colleges gain expanded access to emerging-technology and STEAM curricula and targeted AI-related training/capacity-building that improves preparedness for tech careers and narrows attainment gaps.
Workers at risk of AI displacement (including unemployed and lower-wage tech workers) obtain funded training, certifications, and employer best-practice recommendations to help them upskill and transition to higher-skill, higher-wage roles.
Teachers and educator pipelines are strengthened through funded professional development, recruitment incentives, and loan/tuition support tied to service, increasing the supply of qualified STEM instructors.
Taxpayers face new federal spending (e.g., $250 million authorized for FY2026 grants) and potential additional budgetary pressure if Congress funds recommended expansions.
Preparing frequent, detailed reports and evaluations imposes administrative burdens and costs on federal agencies and adds compliance/reporting burdens for grantees (especially small schools and providers).
Recommendations to expand access to privately held workforce data and collection of detailed student race/NSLP data raise privacy and proprietary-data risks for workers, students, and companies if safeguards are insufficient.
Based on analysis of 5 sections of legislative text.
Introduced December 3, 2025 by Lisa Blunt Rochester · Last progress December 3, 2025
Requires Labor, Commerce, and Education to jointly study how artificial intelligence (AI) is changing jobs and training needs, issue an interim, final, and updated report with detailed data and policy recommendations, and sets up new federal grant programs to expand AI and advanced-technology education and workforce training. Authorizes $160 million (Education) and $90 million (Labor) for FY2026 to fund K–12 to higher-education pipelines, teacher development, equipment/broadband, mentoring, industry partnerships, and worker retraining for those most affected by AI, plus evaluation and reporting requirements.