Blab AI
Senate Bill Aims to Track Artificial Intelligences Effect on U.S. Workforce
In an effort to turn the opaque influence of artificial intelligence into measurable data, Senators Mark Kelly (D‑Arizona) and Jim Banks (R‑Indiana) have unveiled the AI DATA Act (S. 2381). The legislation would compel the U.S. Department of Labor to embed AI‑specific questions into two cornerstone surveys—the Job Openings and Labor Turnover Survey (JOLTS) and the American Time Use Survey (ATUS)—and to publish the resulting findings.
JOLTS, released each month by the Bureau of Labor Statistics, records job openings, hires, quits, layoffs, and other separations. The ATUS, conducted annually by the Census Bureau, tracks how Americans allocate their hours across work, leisure, and household activities. While both instruments provide vital snapshots of the labor market, neither currently captures how AI tools alter employment patterns or the distribution of tasks within jobs.
Under the AI DATA Act, the Department of Labor would be authorized to add a concise set of questions to these surveys. Respondents would indicate whether AI systems are used in their workplace, how those systems modify job roles, and whether employees spend more or less time on tasks that AI could automate. The bill also requires the Department to release aggregated results, giving policymakers, researchers, and the public a clear picture of AI’s role in job creation, displacement, and productivity.
The proposal arrives amid mounting concern that AI could reshape entire industries. Although the bill does not impose new regulations on AI technology itself, it seeks the data needed to assess whether existing labor policies remain fit for purpose. The Department of Labor has recently announced the launch of an AI workforce hub—an online platform designed to gather data, research, and best‑practice guidance for employers and workers navigating AI adoption.
The AI DATA Act is part of a broader wave of AI‑related legislation moving through Congress. In the same session, bills such as the AI Data Center Moratorium Act and the Great American AI Act address infrastructure and transparency, but the AI DATA Act stands apart by concentrating on labor statistics rather than on AI development or deployment.
Sponsors argue that without systematic data, it will be impossible to determine whether AI is generating new jobs or merely reshaping existing ones. Current labor surveys provide a baseline for employment trends, yet they lack the granularity required to isolate AI’s specific effects.
If enacted, the AI DATA Act would not overhaul the Department’s survey methodology; it would simply add a set of AI‑related questions and mandate the publication of the results. The bill includes safeguards to protect respondent privacy and to ensure that the added questions do not compromise the surveys’ core objectives.
The initiative follows a string of reports and studies that underscore AI’s growing workplace presence. A 2023 Pew Research Center survey found that a majority of workers believe AI will impact their jobs, while a 2024 International Labour Organization study warned that AI could lead to significant job displacement if not managed properly.
The bill has received cautious bipartisan support. While the text does not regulate AI technology directly, it signals a recognition that AI’s influence on labor markets is a policy issue that demands evidence‑based analysis.
As the Senate debates the AI DATA Act, stakeholders will watch closely to see whether the bill passes and, if so, how quickly the Department of Labor will begin incorporating AI questions into its surveys. The data produced could shape future labor policies, inform workforce development programs, and provide a clearer picture of how AI is reshaping the American economy.
The bill’s status remains pending, and no committee assignment has been announced. The Department of Labor has indicated it will monitor the legislation and may provide input on the proposed survey changes.
In the coming months, analysts will look for updates on the bill’s progress, potential amendments, and the timeline for implementing AI‑related questions in the JOLTS and ATUS surveys. The outcome will determine whether the U.S. government can begin to track AI’s impact on employment with the same rigor it applies to other economic indicators.
JOLTS, released each month by the Bureau of Labor Statistics, records job openings, hires, quits, layoffs, and other separations. The ATUS, conducted annually by the Census Bureau, tracks how Americans allocate their hours across work, leisure, and household activities. While both instruments provide vital snapshots of the labor market, neither currently captures how AI tools alter employment patterns or the distribution of tasks within jobs.
Under the AI DATA Act, the Department of Labor would be authorized to add a concise set of questions to these surveys. Respondents would indicate whether AI systems are used in their workplace, how those systems modify job roles, and whether employees spend more or less time on tasks that AI could automate. The bill also requires the Department to release aggregated results, giving policymakers, researchers, and the public a clear picture of AI’s role in job creation, displacement, and productivity.
The proposal arrives amid mounting concern that AI could reshape entire industries. Although the bill does not impose new regulations on AI technology itself, it seeks the data needed to assess whether existing labor policies remain fit for purpose. The Department of Labor has recently announced the launch of an AI workforce hub—an online platform designed to gather data, research, and best‑practice guidance for employers and workers navigating AI adoption.
The AI DATA Act is part of a broader wave of AI‑related legislation moving through Congress. In the same session, bills such as the AI Data Center Moratorium Act and the Great American AI Act address infrastructure and transparency, but the AI DATA Act stands apart by concentrating on labor statistics rather than on AI development or deployment.
Sponsors argue that without systematic data, it will be impossible to determine whether AI is generating new jobs or merely reshaping existing ones. Current labor surveys provide a baseline for employment trends, yet they lack the granularity required to isolate AI’s specific effects.
If enacted, the AI DATA Act would not overhaul the Department’s survey methodology; it would simply add a set of AI‑related questions and mandate the publication of the results. The bill includes safeguards to protect respondent privacy and to ensure that the added questions do not compromise the surveys’ core objectives.
The initiative follows a string of reports and studies that underscore AI’s growing workplace presence. A 2023 Pew Research Center survey found that a majority of workers believe AI will impact their jobs, while a 2024 International Labour Organization study warned that AI could lead to significant job displacement if not managed properly.
The bill has received cautious bipartisan support. While the text does not regulate AI technology directly, it signals a recognition that AI’s influence on labor markets is a policy issue that demands evidence‑based analysis.
As the Senate debates the AI DATA Act, stakeholders will watch closely to see whether the bill passes and, if so, how quickly the Department of Labor will begin incorporating AI questions into its surveys. The data produced could shape future labor policies, inform workforce development programs, and provide a clearer picture of how AI is reshaping the American economy.
The bill’s status remains pending, and no committee assignment has been announced. The Department of Labor has indicated it will monitor the legislation and may provide input on the proposed survey changes.
In the coming months, analysts will look for updates on the bill’s progress, potential amendments, and the timeline for implementing AI‑related questions in the JOLTS and ATUS surveys. The outcome will determine whether the U.S. government can begin to track AI’s impact on employment with the same rigor it applies to other economic indicators.
