# Senators Introduce AI DATA Act to Track Workforce Change > Source: > Published: 2026-07-31 15:12:50+00:00 # Senators Introduce AI DATA Act to Track Workforce Change U.S. Senators Mark Kelly, Jim Banks and Todd Young introduced the bipartisan AI DATA Act on June 10, 2026. S. 4742 would modernize three federal labor-market surveys, add quarterly AI-adoption questions to a Census Bureau business survey for 10 years, and require annual workforce-impact reports; it remains a proposal referred to the Senate labor committee, not enacted law. The Artificial Intelligence Data Authorization and Transparency Act was introduced in the U.S. Senate on June 10, 2026, by Mark Kelly, Jim Banks and Todd Young. The government record identifies it as S. 4742 and shows that it was read twice and referred to the Senate Committee on Health, Education, Labor, and Pensions. It is proposed legislation, not a new reporting program already in force. ### What the bill would measure The proposal would put several existing Bureau of Labor Statistics programs on explicit statutory footing while directing their data collection toward changes associated with technology, including AI. The named programs are the Job Openings and Labor Turnover Survey, the American Time Use Survey and the National Longitudinal Surveys. Together, they cover employer demand and turnover, how people allocate time, and longer-run outcomes such as earnings, education, training and job mobility. S. 4742 would also require the Census Bureau to add questions about AI adoption and workforce effects to the Business Trends and Outlook Survey every quarter for 10 years. The Labor and Commerce departments would publish an annual analysis using those survey results and other federal data, with that reporting requirement also ending after 10 years unless Congress acts again. ### Why the distinction matters The bill is aimed at a measurement gap rather than at restricting workplace AI. It would not by itself set rules for hiring algorithms, require employers to retain workers, or create a retraining benefit. Its practical value would depend on survey design, participation, funding and whether Congress ultimately passes it. For data practitioners and workforce planners, the proposal is notable because it links adoption data with established measures of vacancies, turnover, time use and longitudinal employment outcomes. That could make later claims about AI-driven job creation, displacement or task change easier to test against public evidence. Until enactment and implementation, however, those benefits remain prospective. ## Key Points - 1S. 4742 was introduced on June 10, 2026 and referred to the Senate Committee on Health, Education, Labor, and Pensions; it has not been enacted. - 2The bill would modernize JOLTS, the American Time Use Survey and the National Longitudinal Surveys while adding quarterly AI-workforce questions to a Census business survey for 10 years. - 3Labor and Commerce would issue annual analyses, improving the evidence base for workforce policy without itself regulating workplace AI or guaranteeing a particular labor outcome. ## Scoring Rationale The bill could materially improve federal evidence about AI adoption and labor-market change, but its effect is prospective because it is introduced legislation and implementation would depend on passage, survey design and funding. ## Sources Primary source and supporting public references used for this report. Practice with real Ad Tech data 90 SQL & Python problems · 15 industry datasets [Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget) [High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page) [Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model) 250 free problems · No credit card [See all Ad Tech problems](/problems/datasets/adtech)