Sen. Mark Warner (with Sens. Hawley, Young, Rounds, and others) · 2026
Sen. Mark Warner — AI Workforce Data & Commission Package
Warner
Senator Warner's AI agenda is not a single bill but a coordinated three-part strategy to build the institutional infrastructure for evidence-based AI workforce policy. First, a bipartisan letter (co-signed by Warner, Hawley, Banks, Hassan, Kelly, Kaine, Hickenlooper, Young, and Rounds) urging the Bureau of Labor Statistics and Census Bureau to rapidly expand AI labor market data collection across existing surveys — CPS, JOLTS, and the National Longitudinal Survey. Second, the AI-Related Job Impacts Clarity Act (with Sen. Hawley), requiring quarterly disclosures from publicly traded companies and federal agencies on AI-driven layoffs, hires, unfilled positions, and retraining — reported to DOL with NAICS codes and published on the BLS website. Third, the Economy of the Future Commission Act (S.4046, with Sen. Rounds), establishing a 10-member bipartisan legislative commission to develop consensus recommendations on workforce development, education, social safety nets, taxation, open-source AI, transportation safety, energy, and robotics. The commission must deliver employment projections by NAICS code at 5- and 10-year horizons within 7 months, and full legislative recommendations within 13 months. Together, the three measures form a pipeline: collect the data, mandate its disclosure, then channel it into bipartisan legislative recommendations.
Key Provisions
Quarterly AI job impact disclosures from all publicly traded companies and federal agencies to the Bureau of Labor Statistics, including layoffs, hires, unfilled positions, and retraining counts — each with NAICS codes
DOL quarterly and annual reports on AI workforce impacts published on the BLS website and submitted to Congress
Rulemaking to extend reporting requirements to non-publicly-traded companies with significant workforce or enterprise value
Bipartisan letter directing BLS and Census to add AI questions to CPS (monthly jobs report), JOLTS (labor demand), and National Longitudinal Survey (generational tracking)
Economy of the Future Commission: 10 bipartisan voting members (including sitting members of Congress) plus 4 nonvoting deputy secretaries (Education, Labor, Commerce, Treasury)
Commission must produce 5- and 10-year AI employment projections by 6-digit NAICS code within 7 months
Commission must deliver consensus legislative recommendations on AI workforce, education, safety nets, taxation, and competitiveness within 13 months
Commission scope extends to open-source AI benefits, public-private research partnerships, transportation safety (autonomous vehicles), energy demands from data centers, and AI-enabled robotics
Subpoena power for the commission; $5.25M appropriation; terminates 120 days after final report
Regulatory Philosophy
Measure before you legislate. Warner's approach is unique in the current landscape in that it deliberately avoids prescribing policy outcomes — no taxes, no moratoriums, no liability frameworks — and instead builds the institutional machinery to produce evidence-based policy recommendations. The theory is that Congress lacks the data and bipartisan consensus to legislate well on AI, and that mandatory corporate disclosure plus a blue-ribbon commission is the fastest path to credible, actionable recommendations. The bipartisan coalition (spanning Warner and Hawley, Banks and Hassan, Kelly and Young) is designed to make the eventual recommendations politically viable. This is legislating about how to legislate.
Strengths
Derived from the proposal’s own policy documents
+Quarterly mandatory disclosure to BLS would create the first systematic, NAICS-coded national dataset on AI-driven job displacement — ending the reliance on anecdotes and industry self-reports that currently drives AI labor policy
+The bipartisan coalition (Warner-Hawley, Warner-Rounds, nine senators across the DOL letter) is the broadest cross-party AI alliance in Congress, giving eventual recommendations a realistic path to passage
+The commission structure — with sitting members of Congress and deputy secretaries of four relevant departments — embeds institutional buy-in that standalone reports from think tanks or advisory boards cannot achieve
+Extending reporting to non-publicly-traded companies via rulemaking closes the loophole that would otherwise let the largest private AI companies (OpenAI, Anthropic, SpaceX) avoid disclosure entirely
+The 13-month timeline with a mandatory interim report at 7 months creates urgency without rushing to premature conclusions — a calibrated pace for a fast-moving technology
Weaknesses
From the perspective of political opposition
−A commission that studies AI for 13 months while the technology transforms the economy in real time is a monument to Washington's inability to act — by the time recommendations arrive, another generation of models will have reshaped the labor market
−Quarterly corporate self-reporting of AI job impacts is trivially gameable — companies will classify layoffs as 'restructuring' rather than 'AI-driven' to avoid the headline risk and political liability
−The entire framework is process, not policy — after three bills and a commission, the American public still has zero new protections, zero new benefits, and zero accountability mechanisms for AI companies
−Exempting the commission from FACA and FOIA creates a transparency gap in a package ostensibly about transparency — the public cannot observe the deliberations that will shape recommendations affecting millions of workers
−The bipartisan design is also the constraint: consensus among Warner, Hawley, Banks, and Hassan virtually guarantees that recommendations will reflect the lowest common denominator, avoiding the structural interventions (taxation, antitrust, moratoriums) that the scale of disruption may require