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Discussion Paper
Do Job Postings Show Early Labor‑Market Effects of AI?
As generative AI tools become more widely used, a key issue is the technology’s impact on labor demand. Where might we find evidence of that impact? In this post, we examine whether early evidence of AI’s effect on the labor market appears in firms’ job postings. We combine an occupational measure of AI exposure with detailed U.S. job-posting data from Lightcast, which aggregates listings from company career pages, national and local job boards, and job-listing aggregators. Using this data, we test whether postings for AI-exposed occupations declined disproportionately since the release ...
Discussion Paper
The Anatomy of Labor Demand Pre‑ and Post‑COVID
Has labor demand changed since the COVID-19 pandemic? In this post, we leverage detailed data on the universe of U.S. online job listings to study the dynamics of labor demand pre- and post-COVID. We find that there has been a significant shift in listings out of the central cities and into the “fringe” portion of large metro areas, smaller metro areas, and rural areas. We also find a substantial decline in job listings in computer and mathematical and business and financial operations occupations, and a corresponding increase in job openings in sales, office and administrative support, ...
Discussion Paper
The Post‑COVID Decline in the Labor Share
The labor share of income in the U.S. is currently at its lowest-ever level in the post-war period. The labor share measures the fraction of economic output paid to workers as wages and salaries. As such, it is a useful benchmark for wage growth: when the labor share falls, it means that productivity, prices, or both are growing faster than wages. After much-studied drops in the 2000s, the labor share fell sharply again after the COVID pandemic. In this post, we compare the dynamics of the labor share post-COVID to earlier periods to understand whether the recent decline represents the ...