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Creates a temporary, bipartisan congressional commission to study how broad adoption of artificial intelligence will affect the U.S. economy and to produce consensus legislative recommendations. The commission will analyze impacts on jobs, tax revenue, education, workforce retraining, safety, manufacturing, and federal research, issue public interim and final reports, have subpoena and contracting authority, staff support, and $5.25 million in funding, then expire after submitting its final report.
Creates a short-term, federally funded expert commission to produce recommendations that could help workers, industry, and policymakers prepare for AI-driven change while trading off transparency, certain privacy safeguards, and assurance that recommendations will lead to enacted policy.
Workers could get clearer, actionable plans for retraining and workforce programs because the Commission must recommend education and reskilling policies.
Researchers, industry, and national-security planners could receive a coordinated AI research and investment strategy and public–private partnership recommendations to guide federal R&D priorities.
The general public and Congress gain expert input and accessible analysis because the Commission must include recognized non‑Member experts and publish interim and final public reports on jobs, revenues, and free AI resources.
The general public, journalists, and stakeholders will face reduced transparency and public oversight because Commission records and activities are exempt from FOIA and the Commission is exempt from the Federal Advisory Committee Act.
Individuals and national-security interests could face privacy and security tradeoffs because nonpublic handling of classified information and broad interagency cooperation requirements may allow sensitive data sharing without public oversight.
Businesses and researchers may be discouraged from fully cooperating because the Commission can use subpoenas and criminal enforcement, limiting access to proprietary or sensitive data needed for rigorous recommendations.
Introduced March 11, 2026 by Mark R. Warner · Last progress March 11, 2026