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Goldman Sachs Raises AI Job Displacement to 15M U.S. Workers

Top Companies AI — US (1/2)18h ago4 min read
Goldman Sachs Raises AI Job Displacement to 15M U.S. Workers

Key takeaway

Goldman Sachs has raised its forecast for AI-driven U.S. job displacement to roughly 15 million workers over the next decade, up from an earlier 6–7% estimate. While the displacement is substantial, the bank maintains that long-term economic benefits should outweigh short-term disruption, since the U.S. economy typically creates 25–35 million jobs annually and AI is expected to generate new roles in emerging occupations and discretionary services.

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3 Key Points

  • What happened

    Goldman Sachs economist Joseph Briggs revised the firm's estimate upward, projecting that roughly 15 million U.S. workers—more than 9% of the workforce—could be displaced by AI over the next decade. This marks an increase from the earlier estimate of 6% to 7% displacement, based on a new methodology that measures total workers leaving jobs due to productivity gains rather than unemployment at a single point in time.

  • Why it matters

    The shift reflects how rapidly AI adoption is unfolding. However, the firm notes that the U.S. economy typically creates between 25 million and 35 million new jobs annually, and expects AI to generate new employment through emerging occupations and higher demand for services. Assuming most displaced workers find new employment within a year, Goldman estimates AI would raise the unemployment rate by less than one percentage point at its peak—significant but manageable historically.

  • What to watch

    The report points to the information and communications technology boom of the late 1990s and early 2000s as the closest historical parallel. Goldman notes that workforce reductions tied to technological change have historically intensified during economic downturns, when businesses are less able to absorb displaced employees into new roles.

FAQ

How does Goldman's new estimate differ from its earlier one?
The revised forecast projects more than 9% of the U.S. workforce (roughly 15 million people) could be displaced, compared with the earlier estimate of 6% to 7%. The change reflects a new methodology that measures the total flow of workers leaving jobs due to productivity gains, rather than the number of unemployed at any one time.
What does Goldman say will happen to unemployment overall?
Assuming AI adoption unfolds over a 10-year period and most displaced workers secure new employment within a year, Goldman estimates AI would increase the U.S. unemployment rate by less than one percentage point at its peak, which the firm describes as significant but manageable.
What historical period does Goldman cite as comparable?
Goldman points to the information and communications technology boom of the late 1990s and early 2000s as the closest historical comparison, during which similar productivity gains produced elevated rates of job displacement, particularly in routine occupations.

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