AI has the potential to reverse the historical pattern of favoring higher-wage occupations, automating higher-paying information-based jobs while increasing relative demand for lower-paying jobs and those requiring less education, thus reducing aggregate wage inequality.
Source
Speech by Governor Barr on artificial intelligence and the labor marketOriginal Quote
one paper shows that AI has the potential to reverse this pattern, automating higher-paying information-based jobs while increasing relative demand for lower-paying jobs and those requiring less education, thus reducing aggregate wage inequality
Outlook
OptimisticReducing wage inequality broadly benefits lower-income workers and improves distributional outcomes in the economy.
Framed as a potential consequence of current and near-future AI adoption trends; inferred as within 1-5 years.
'Has the potential to' signals possibility rather than likelihood, indicating low-to-moderate confidence.
Potential Data Sources for Validation
BLS occupational employment and wage statistics over time; track wage growth differentials between high-wage information workers and lower-wage manual workers correlated with AI adoption rates.
About the Author
Michael S. Barr is a Governor of the Federal Reserve Board of Governors — and former Vice Chair for Supervision (2022–2025) — who is also a professor of law and public policy at the University of Michigan on leave, and previously served as Assistant Secretary of the Treasury for Financial Institutions under President Obama and as a key architect of the Dodd–Frank Act.
Across 18 tracked claims, Michael S. Barr skews neutral.