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Congress funds AI job-impact forecasting—but leaves worker protection to later

S. 3339 — AI Workforce PREPARE Act · Filed by Jim Banks (R-IN) · 4 cosponsors · Introduced Dec 3, 2025 · Referred to committee

75%
Transparency
Typical bill: 85%
15/100
Hidden-provision risk
Typical bill: 15/100
Workforce Data & Forecasting Initiative

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What it does

The AI Workforce PREPARE Act directs the federal government to collect better data on how artificial intelligence is affecting jobs and workers, establish forecasting tools to predict which occupations will be hit hardest, and hire temporary AI experts to help the Department of Labor understand and respond to AI-driven workforce disruption. The bill funds research, workshops, voluntary industry reporting, and detailed employment forecasts for AI-sensitive occupations—aiming to help policymakers, educators, and workers prepare for AI-driven job changes.

Why we flagged it

The bill's core function is to establish federal data collection, research infrastructure, and forecasting mechanisms to measure AI's impact on labor markets. It is fundamentally a transparency and research bill, not a direct worker protection or subsidy measure.

What the text implies

  • Voluntary industry reporting on AI adoption may be incomplete or biased toward companies willing to disclose; the bill does not mandate disclosure, limiting data quality.
  • The bill sunsets most requirements after 4–5 years, meaning sustained AI workforce monitoring depends on future congressional action and appropriations.
  • WARN Act amendments require employers to disclose AI as a 'substantial factor' in mass layoffs, but 'substantial factor' is undefined until guidance is issued—creating potential compliance ambiguity.
  • The bill funds temporary hiring of AI experts (up to 20 people, max 24 months) but does not guarantee permanent institutional capacity at the Department of Labor.
  • Forecasts and benchmarks may influence training program funding allocation, potentially redirecting resources away from occupations deemed less AI-threatened, even if workers in those fields face other economic pressures.

Who it affects

Ordinary workers and job-seekers benefit from better forecasting and data on AI job impacts, which can inform training programs and policy responses. The bill creates transparency about AI-driven layoffs and establishes mechanisms to track workforce transitions. However, the voluntary nature of industry reporting and the bill's reliance on future policy action (rather than immediate protections) limit the direct benefit.

Who stands to gain

  • AI developers and deployers (voluntary data-sharing partnerships may enhance their market positionin
  • Consulting and research firms contracted to conduct benchmarking and forecasting
  • Educational and training providers (if forecasts drive funding toward AI-adjacent skills training)

Named in the bill

Department of Labor (SecDOL), Bureau of Labor Statistics, Census Bureau, National Institute of Standards and Technology (NIST), National Science Foundation (NSF), Office of Science and Technology Policy, Workforce Information Advisory Council, AI developers and deployers (private sector), WARN Act (Worker Adjustment and Retraining Notification Act)

Where it stands

4 cosponsors: 2 Democrats, 2 Republicans.

  • Dec 3, 2025 — Introduced · Congress.gov: “Introduced in Senate”
  • Dec 3, 2025 — Referred to Senate Committee on Health, Education, Labor, and Pensions · Congress.gov: “Read twice and referred to the Committee on Health, Education, Labor, and Pensions”

Dates and quoted wording are Congress.gov's action record; the timeline shows status changes, not every procedural step.

Money around this bill

3 lobbying clients named this bill on 4 disclosure filings across 2 quarters, Dec 2025 to Jun 2026. Those filings disclosed $4,790,000 in lobbying spend. A filing names 68 bills on average, so that figure is what each filing reported, not a share belonging to this bill.

More lobbying clients named this bill than 61% of bills with at least one filing.

Jim Banks, the sponsor, reported $559,626 in PAC receipts in the 2026 cycle.

  • Google Client Services LLC — $3,570,000 on 1 filing
  • AFL-CIO — $760,000 on 1 filing
  • Society for Human Resource Management — $460,000 on 2 filings

Lobbying Disclosure Act filings through Jul 20, 2026. A filing shows who paid to lobby on a bill it names, not what changed.

How this was measured

Analysis — Quorum's AI read the full bill text on Jun 8, 2026; transparency and hidden-provision scores are compared against the median of 16,222 analysed bills.

Status and sponsors — Congress.gov's bill record — actions, committee referrals and cosponsors — loaded nightly. The timeline shows status changes, not every procedural action.

Money — Senate Lobbying Disclosure Act filings whose specific-issue field names this bill for quarters ending Dec 2025 to Jun 2026. A filing's amount is reported whole beside the median number of bills a filing names; it is never divided across them. PAC receipts are FEC-reported contributions to the sponsor's candidate committee in the 2026 cycle.

As of — lobbying records through Jul 20, 2026 · page rendered 2026-10-20.

“Congress funds AI job-impact forecasting—but leaves worker protection to later” QuorumCivic. https://share.quorumcivic.app/bill/119/s3339 Report an error

Correlative observation from public records — not evidence of coordination or wrongdoing, and not financial advice.
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Quorum analysis of the full bill text · 119th Congress · public record

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