Workforce of the Future Act of 2025
Summary
What This Bill Does
The Workforce of the Future Act pairs federal AI workforce planning with education and training grants. Labor, Commerce, and Education must jointly issue an interim and final report on AI effects on the United States workforce, industries most likely to be affected, data gaps, worker input, retraining needs, and recommendations for grant design. The Department of Education then awards grants to eligible entities such as state educational agencies, institutions of higher education, workforce boards, community colleges, labor organizations, nonprofits, and industry partnerships to expand emerging and advanced technology education, teacher development, and student access. The Department of Labor awards grants for workforce training for workers most impacted by AI. Grantees must report at least twice a year with disaggregated participant and outcome data. Education Sciences Reform Act data collection is expanded to measure emerging technology education in elementary and secondary schools.
Who Benefits and How
Students benefit from expanded computer science, AI, and advanced-technology education. Teachers and school leaders benefit from professional development and curriculum support. Workers affected by automation benefit from grant-funded training connected to industries likely to be disrupted by AI. Community colleges, universities, labor organizations, workforce boards, and nonprofit training providers benefit from new grant opportunities. Policymakers benefit from Labor-Commerce-Education reports identifying affected industries, retraining needs, and data gaps.
Who Bears the Burden and How
Labor, Commerce, and Education staff must consult stakeholders, produce reports, administer grants, reserve funds, evaluate applications, and track outcomes. Grant recipients must submit twice-yearly reports with demographic and lunch-program eligibility data, program participation, credentials, employment, and wage outcomes. State educational agencies and school districts must manage curriculum, teacher training, and data collection. Employers and training providers may need to coordinate work-based learning and placement commitments. Federal taxpayers fund the new grant programs and administrative work.
Key Provisions
- Requires joint Labor-Commerce-Education reports on AI impacts on the workforce within six months and later deadlines.
- Creates Department of Education grants for emerging and advanced technology education and teacher development.
- Creates Department of Labor grants for training workers most affected by artificial intelligence.
- Requires grantees to report at least twice yearly with disaggregated participation and outcome data.
- Adds emerging and advanced technology education metrics to federal education-sciences data collection.
Evidence Chain:
This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.
At a Glance
What This Bill Does
Requires Labor, Commerce, and Education to report on artificial intelligence workforce impacts, then creates Education and Labor grant programs for advanced-technology education, teacher development, worker training, and recurring demographic outcome reporting.
Key Policy Areas
Workforce, Artificial Intelligence, Education, Labor, Technology
Primary Purpose
Requires Labor, Commerce, and Education to report on artificial intelligence workforce impacts, then creates Education and Labor grant programs for advanced-technology education, teacher development, worker training, and recurring demographic outcome reporting.
Policy Domains
Substantive provisions
Identified Gains
- Students
- Teachers
- Workers affected by automation
- Community colleges
- Universities
- Labor organizations
- Workforce boards
- Nonprofit training providers
Identified Costs
- Department of Labor staff
- Department of Commerce staff
- Department of Education staff
- Grant recipients
- State educational agencies
- School districts
- Federal taxpayers
Sponsors
Legislative Progress
In CommitteeMr. Cleaver (for himself, Mrs. McIver, Mr. Larson of Connecticut, …
Referred to the Committee on Education and Workforce, and in …
Introduced in House
Stakeholder Effects
cui bono?How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.
Department of Education, Department of Labor, Federal budget financing the Education Department emerging technology grants
Education grant recipients, Eligible education entities receiving emerging and advanced technology education grants, Students
Positive-direction: Eligible education entities receiving emerging and advanced technology education grants, Students
Negative-direction: Education grant recipients
Eligible labor organizations and training entities receiving artificial intelligence workforce-training grants, Labor grant recipients, Workers
Positive-direction: Eligible labor organizations and training entities receiving artificial intelligence workforce-training grants, Workers
Negative-direction: Labor grant recipients
Students, including underrepresented students, gaining expanded access to emerging and advanced technology education, Workers most impacted by artificial intelligence receiving training and transition support
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
- "DOL"
- → Department of Labor
- "Commerce"
- → Department of Commerce
- "Education"
- → Department of Education
Key Definitions
Terms defined in this bill
We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.
Learn more about our methodology