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S3339119th CongressWALLET

AI Workforce PREPARE Act

Sponsored By: Senator Banks, Jim [R-IN]

Introduced

Summary

Measure and plan for AI's impact on the workforce. This bill creates a federal framework to collect better data, produce forecasts, and guide training, grants, and policy so workers and agencies can respond to AI-driven job shifts.

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  • Workers: Requires WARN notices to say when AI was a substantial factor in mass layoffs, estimate the percent of jobs lost to AI, and describe upskilling actions. It also directs a study to design a Rapid AI Adjustment Assistance Program and sets a 300‑day deadline for Labor Department guidance on AI's role in layoffs.
  • State and local workforce agencies: Requires boards to consider published AI forecasts when updating in‑demand occupation lists and offers technical assistance. The bill authorizes $3.0 million for these supports for fiscal years 2026–2030.
  • Data, private sector, and federal capacity: Creates a voluntary private data‑sharing program with confidentiality protections and a public roster. It establishes an Artificial Intelligence Workforce Research Hub, allows up to 20 excepted‑service AI experts, and funds forecasting and prize competitions, including $18.0 million for forecasting and evaluation efforts.

*Authorizes roughly $53.5 million in program funds for fiscal years 2026–2030, which would increase federal spending over that period.*

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Bill Overview

Analyzed Economic Effects

5 provisions identified: 4 benefits, 0 costs, 1 mixed.

AI questions added to federal surveys

If enacted, the Census Bureau and BLS would add AI adoption and use questions to major surveys within 1 year. Surveys named include the Annual Business Survey, Current Population Survey, Occupational Requirements Survey, American Time Use Survey, and Business Trends and Outlook. Questions would cover AI type, tasks or occupations affected, training and skills, intensity of use, and work outcomes. No new appropriations are authorized for this change.

DOL AI research hub and hires

If enacted, the Labor Secretary would set up an Artificial Intelligence Workforce Research Hub within 90 days to study AI workforce effects. The Hub could take staff from federal, state, local, or private sources and would stop its duties 4 years after enactment. The bill would let the Secretary appoint up to 20 AI or data experts in excepted service jobs, pay up to GS-15 step 10, and allow recruitment and retention incentives within an annual pay cap equal to the Vice President's pay. The Department would also open public comment within 45 days and hold an expert workshop within 180 days, then one workshop each year; $2 million and $6 million are authorized for parts of these activities for 2026–2030, and no new separate appropriation is authorized for the Hub itself.

New AI job data and forecasts

If enacted, the Labor Secretary would publish a list of at least 15 AI‑sensitive occupations within 240 days and produce 2-, 4-, and 8‑year prediction-interval forecasts for them at least annually. The bill would fund forecast transparency, evaluations, and a public machine-readable archive and authorizes $18 million for 2026–2030. The Census Bureau would run a job-to-job pilot to publish a quarterly worker flow series, with the first series due within 18 months and pilot rules ending 4 years after enactment. The National Institute of Standards and Technology would run at least one prize competition within 270 days to build AI automation benchmarks; $7 million is authorized for related activities.

Voluntary AI workplace data sharing

If enacted, the Labor Department would run a voluntary program for AI developers and employers to share anonymized data about AI use in workplaces. Shared data would be used only for statistics, kept confidential and exempt from FOIA, and could not be used for enforcement or antitrust actions. The Secretary would publish a roster of participants, aggregate statistics at least every 6 months, and report to Congress within 2 years. The bill authorizes $7 million for 2026–2030 for this program.

AI disclosure in mass layoff notices

If enacted, employers would have to say in WARN Act mass layoff notices if AI was a substantial factor. Notices would need to describe the type and use of AI, estimate the percent of job loss due to AI, and list any upskilling or retraining steps taken. Employers could rely on a good-faith statement and estimate. The Labor Department would issue guidance within 300 days on how to determine AI's contribution. This rule would apply to notices issued one year after enactment.

Sponsors & CoSponsors

Sponsor

Banks, Jim [R-IN]

IN • R

Cosponsors

  • Sen. Hassan, Margaret Wood [D-NH]

    NH • D

    Sponsored 12/3/2025

  • Sen. Hickenlooper, John W. [D-CO]

    CO • D

    Sponsored 12/3/2025

  • Sen. Husted, Jon [R-OH]

    OH • R

    Sponsored 12/3/2025

  • Sen. Marshall, Roger [R-KS]

    KS • R

    Sponsored 3/10/2026

Roll Call Votes

No roll call votes available for this bill.

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