AI Adoption Linked to Slower Job Growth and Higher Unemployment
Goldman Sachs finds AI adoption correlates with weaker employment growth and rising unemployment across U.S. industries.
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Goldman Sachs research reveals that industries adopting artificial intelligence at higher rates are experiencing weaker employment growth and higher unemployment, according to a new report. The findings suggest that while AI offers economic benefits, it also brings disruptions to American employment, particularly in nonmanufacturing sectors.
AI and Labor-Market Disruptions
Goldman Sachs Chief Economist Jan Hatzius identified statistically significant relationships between AI adoption and worsening labor-market conditions in a report titled “Global Views: Downside Growth Risks.” The report indicates that the economic benefits of the AI boom may increasingly come with challenges for employment, though the correlations do not prove AI directly caused job losses.
The analysis found that industries with a greater share of businesses using AI in regular operations experienced slower employment growth and higher unemployment compared to those with lower adoption rates. A ten-percentage-point increase in AI adoption was associated with approximately 0.9 percentage points weaker employment growth, and a corresponding rise in unemployment.
Broader Impacts Across Sectors
The findings extend to industries such as financial services, insurance, telecommunications, real estate, and professional services, raising questions about how automation might reshape employment in sectors previously considered less exposed to technological disruption.
Goldman’s latest findings suggest a broader pattern than previously observed, as earlier analysis warned that junior employees could face significant hiring challenges due to AI replacing entry-level tasks. The expansion of AI into daily business operations is evident, with the Census Bureau reporting that about 20% of U.S. businesses use AI, with higher adoption rates in the information and finance sectors.
AI’s Economic Impact and Future Outlook
Goldman Sachs estimated that AI reduced monthly U.S. payroll growth by approximately 16,000 jobs over the past year and increased the unemployment rate by 0.1 percentage point. Despite these concerns, the bank maintains that AI could create opportunities in sectors where it complements human workers rather than replacing them.
Hatzius also warned that the economic boost from AI infrastructure investments is nearing its peak, with the growth contribution from AI investment expected to peak in late 2026 or early 2027. While AI is projected to enhance productivity and corporate profits, the labor-market disruptions could have negative economic effects in the short term.
Source: Daily Caller
