Goldman Sachs study finds AI-exposed workers struggle more to re-enter the workforce
11/01/2026 — 11/01, 16:17·1 sources (all)·1 reports (all)
Key takeaways
- A Goldman Sachs report by economist Pierfrancesco Mei finds that displaced workers in AI-exposed roles take about a month longer to find new…
Background & analysis
On November 1, 2026, Wall Street CN reported on a new study by Goldman Sachs economist Pierfrancesco Mei. The report indicates that signs of AI disruption in the labor market have spread beyond the tech sector into broader areas such as finance, insurance, real estate, and professional services. According to the data, in non-manufacturing industries, workers displaced from jobs with high AI exposure take about one month longer to find new work on average. After a year of unemployment, their probability of still being out of work is about 10 percentage points higher than that of other laid-off workers, and once re-employed they often fall back within the reach of the next wave of AI substitution.
Goldman Sachs Chief Economist Jan Hatzius noted in the report that every 10 percentage point increase in AI adoption corresponds to roughly a 0.9 percentage point weakening in employment growth and a 0.9 percentage point rise in the unemployment rate for the affected industry. Goldman Sachs economist Joseph Briggs warned that historical patterns suggest automation-driven layoffs tend to cluster during economic recessions. With companies currently holding off on layoffs amid a profitable boom, a deferred wave of AI-driven job cuts could be released all at once once the economy turns downward, compounding cyclical unemployment. This report is the latest development on the matter, and no further updates have been issued.
AI-generated from 1 reports · updated 5 days ago
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A Goldman Sachs report finds that workers in jobs highly exposed to AI take about a month longer to find new work, and are roughly 10 percentage points more likely to still be unemployed a year after being laid off. Each 10-point rise in AI adoption is linked to about 0.9 points weaker job growth and a 0.9-point higher unemployment rate in that sector.
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