Workforce of the Future Act of 2025
- Bill Number
- S. 3319
- Origin Chamber
- Senate
- Congress
- 119th Congress, Session 1
- Policy Area
- Education
- Status
- Introduced
- Latest Action
- 2025-12-03: Read twice and referred to the Committee on Health, Education, Labor, and Pensions.
- Last Updated
- 2026-01-15T04:09:36Z
AI-Generated Summary
Purpose of the Legislation
The Workforce of the Future Act of 2025 aims to prepare the U.S. workforce for advancements in artificial intelligence (AI) and other emerging technologies. It seeks to expand education in these fields from early grades through higher education, provide training for workers affected by AI-driven job changes, and ensure equitable access to skills that support high-quality employment in a technology-driven economy.
Key Provisions
The bill is divided into two main titles, focusing on assessing AI's impact and funding education and training programs.
Title I: Impact of Artificial Intelligence on Jobs
- Sense of Congress (Sec. 101): Declares that AI offers opportunities for workforce growth but risks job displacement. It emphasizes the need to identify data gaps, affected industries, vulnerable workers, required skills, and ways to make education accessible to all.
- Definitions (Sec. 102): Defines key terms like "artificial intelligence" (referencing the 2020 National AI Initiative Act, meaning systems that perform tasks requiring human-like intelligence), community colleges, institutions of higher education, labor organizations (unions for private and public workers), and minority-serving institutions (colleges supporting underrepresented students).
- Report on Artificial Intelligence (Sec. 103): Requires the Secretaries of Labor, Commerce, and Education to jointly produce:
- An interim report (6 months after enactment) and final report (1 year after) on AI's workforce effects.
- An updated report 3 years after the final one.
- Reports must cover data availability (including private data access), projected AI growth in industries/occupations, job quality impacts, demographic vulnerabilities (e.g., by race, gender, age, disability, region), needed skills (e.g., for developing or working with AI), delivery methods for training, and recommendations for policy, data sharing, worker involvement, upskilling vulnerable groups, credentials, and support for underserved institutions (e.g., rural or minority-serving colleges).
- Preparation involves public collaboration with educators, labor groups, industry, National Laboratories, and federal entities like the National Science Foundation.
- Allows a memorandum of understanding among secretaries for coordination.
Title II: Emerging and Advanced Technology Education and Workforce Development
- Findings (Sec. 201): Highlights rapid job growth in tech (377,500 jobs/year through 2032), over 400,000 unfilled computing roles as of 2024, the need for broad AI/tech skills, gaps in K-12 tech education (e.g., only 44% of middle schools offer coding), and inequities affecting low-income, minority, and rural communities.
- Definitions (Sec. 202): Defines terms like "computational thinking" (problem-solving processes for computer-based solutions, including logic, algorithms, and societal impacts), "emerging and advanced technology education" (covering areas like software design, AI, quantum computing, cybersecurity, and computing's social effects), "eligible entity" (e.g., schools, colleges, labor organizations, workforce agencies), and "STEAM" (science, technology, engineering, arts, mathematics, integrated with tech).
- Department of Education Grants (Sec. 203): Authorizes $160 million for fiscal year 2026.
- 50% for expanding tech education in K-12 (required: teacher training, learning materials/broadband access, STEAM class expansion, support for underrepresented students like girls and low-income youth, industry feedback; permissible: collaborations, hiring, sustainability planning).
- 50% for teacher development/recruitment (e.g., professional development, loan forgiveness, tuition aid for tech educators).
- Grants last 3–5 years; eligible entities (e.g., school agencies, colleges, tribes) can form consortia.
- Applications must include plans for universal high school access within 5 years, pre-K–middle school progression, equity gap reduction, evaluation, sustainability, and industry engagement.
- Limits equipment purchases to 15%; reserves up to 2.5% for national activities (e.g., technical assistance); requires third-party evaluations for scalability.
- Department of Labor Grants (Sec. 204): Authorizes $90 million for fiscal year 2026.
- Targets workers with high school diplomas in AI-impacted industries (current employees or recently unemployed eligible for unemployment insurance).
- Funds training for high-skill, high-wage jobs or skill updates in tech sectors (e.g., certifications, continuing education).
- Priority to labor organizations or consortia including them.
- Grants last 3–5 years; applications require worker input, job quality focus, evaluation/sustainability plans, and performance data (e.g., employment outcomes).
- Reserves up to 2.5% for national activities; requires third-party evaluations on scalability and worker engagement benefits.
- Reporting Requirements (Sec. 205): Grantees report semiannually on fund use and participants (disaggregated by race, ethnicity, gender, poverty status). Secretaries of Education and Labor report to Congress after 5 years with expansion recommendations.
- Amendments to the Education Sciences Reform Act (Sec. 206): Adds research on K-12 tech education availability and student competency to the Institute of Education Sciences' priorities.
Significant Changes to Existing Law
- Amends the Education Sciences Reform Act of 2002 (20 U.S.C. 9543) by adding a new research focus on emerging and advanced technology education in elementary and secondary schools, including student competency levels. This expands the federal research agenda without altering core structures.
Potential Impacts
- Government Agencies: Increases workload for the Departments of Education, Labor, and Commerce in grant administration, reporting, collaborations, and evaluations. Authorizes new funding streams, potentially requiring congressional appropriations; promotes interagency coordination via memoranda.
- Citizens: Enhances access to tech education and training for students (especially underserved groups like minorities, girls, low-income, rural, and disabled individuals) and workers in AI-affected jobs, potentially reducing displacement, boosting employability (e.g., filling 660,000 tech jobs by 2032), and improving equity in STEAM fields. Could lead to broader economic productivity but depends on grant implementation.
- International Relations: No direct impacts; focuses on domestic workforce preparation, though building AI skills may indirectly strengthen U.S. competitiveness in global tech markets.
Main Stakeholders Affected
- Workers and Unemployed Individuals: Especially in AI-vulnerable industries (e.g., manufacturing, services), demographics at risk of displacement (e.g., by race, gender, age, disability), and those seeking tech certifications or upskilling.
- Students and Educators: K-12 and higher education students (pre-K through college), teachers needing tech training, and schools/communities with limited current access (e.g., rural, tribal, minority-serving institutions).
- Labor Organizations: Prioritized for grants; involved in worker input, training design, and AI integration advocacy.
- Educational Institutions: Local/state agencies, community/technical colleges, minority-serving and tribal schools, benefiting from grants for curricula, equipment, and collaborations.
- Industry and Businesses: Tech, manufacturing, and service sectors provide feedback, partnerships, and job opportunities; encouraged to share data and best practices for AI workplace integration.
- Underserved Communities: Low-income families, minorities, rural areas, and women/girls in STEAM, targeted for equity-focused programs.
Notable Legal, Constitutional, or Political Implications
- Legal: Establishes new grant programs with detailed eligibility, reporting, and evaluation requirements, enforceable through federal oversight. References existing laws (e.g., Higher Education Act, Workforce Innovation Act) for consistency but introduces AI-specific mandates. No new regulatory burdens on private entities beyond voluntary data sharing.
- Constitutional: Supports equal protection and access to education under the 14th Amendment by prioritizing underserved groups, potentially addressing disparities without mandating quotas. Aligns with federal spending power for workforce development.
- Political: Promotes bipartisan goals of innovation and equity in an AI era, but as an introduced Senate bill (by Democrats), it may spark debates on funding levels, labor priorities, and data privacy (e.g., accessing private workforce data). Emphasizes public-private partnerships, which could influence future AI policy without partisan overtones in the text.
This summary was generated by AI and may contain inaccuracies. Refer to the official source document for the authoritative text.
Sponsor
Sen. Blunt Rochester, Lisa [D-DE]
Cosponsors (2)
Sen. Hirono, Mazie K. [D-HI], Sen. Schiff, Adam B. [D-CA]
Recent Actions
- 2025-12-03: Read twice and referred to the Committee on Health, Education, Labor, and Pensions.
- 2025-12-03: Introduced in Senate
Bill Versions
- Workforce of the Future Act of 2025 — issued 2025-12-03 — PDF (33 pages)