Bipartisan AI Workforce PREPARE Act to Quantify Automation's Job Market Impact

U.S. Senators John Hickenlooper (D-Colo.), Jim Banks (R-Ind.), Maggie Hassan (D-N.H.), and Jon Husted (R-Ohio) have introduced the bipartisan AI Workforce PREPARE Act. The legislation aims to forecast and assess how artificial intelligence is reshaping the American labor market to improve national education and job training programs.

At the core of the bill is a mandate for the Department of Labor to collaborate with the National Institute of Standards and Technology (NIST), the National Science Foundation (NSF), and the Census Bureau. Together, these agencies would develop a formal framework for measuring and forecasting the impacts of AI on the workforce. To support this, the bill proposes the creation of an AI Workforce Research Hub intended to help implement the White House's AI Action Plan. Additionally, the act includes a pilot project specifically aimed at producing statistics on how workers are moving between different occupations as a direct result of AI integration.

Data-Driven Oversight

The legislation introduces concrete mechanisms to track AI's role in employment shifts. Key provisions include the improvement of AI-related questions within federal surveys to capture more granular data. Notably, the bill seeks to update the Worker Adjustment and Retraining Notice (WARN) Act, which would require employers to provide specific information to employees if artificial intelligence is determined to be a substantial factor in layoffs.

This push for transparency comes as lawmakers express growing concern over large-scale workforce disruptions. The goal is to replace anecdotal evidence with high-quality economic data to identify exactly which roles are being eliminated and where new opportunities are emerging. According to Senator Jim Banks, understanding these changes is essential to equip American workers with the skills necessary to lead the world and remain competitive against China.

Industry Implications

If passed, the act would represent a significant shift in how the U.S. government manages technological unemployment. By integrating AI impact data into federal surveys and the WARN Act, the government could move toward a more proactive stance on labor displacement. This data-driven approach would allow for more effective design of rapid retraining programs and more informed grantmaking decisions to support workers who have been displaced by automation.

Senator John Hickenlooper emphasized the urgency of the measure, stating that the government cannot "sit in the backseat" while AI transforms the workforce. The shift toward quantitative forecasting aims to ensure that the transition to an AI-integrated economy does not leave significant portions of the labor force behind.

Next Steps

The bill now faces the standard legislative process, where its ability to gain broad support will depend on the appetite for increased federal oversight of corporate AI implementation. Observers will be watching to see if the proposed AI Workforce Research Hub receives the necessary funding and if the updates to the WARN Act meet resistance from industry groups concerned about disclosure requirements.