Goldman Sachs Warns AI Could Displace 9% of Workers, With Recessions Accelerating Automation Layoffs

Goldman Sachs has raised its estimate of AI-driven job displacement to as much as 9% of the workforce, roughly 15 million workers, up from Chief Economist Jan Hatzius's prior forecast of 6% to 7% of U.S. workers. The bank's base case assumes a 15% productivity gain across the U.S. and other developed economies. Hatzius said the labor-market impact will likely widen gradually rather than strike suddenly, citing a base forecast of growth near potential next year. AI adoption remains early-stage, with fewer than a quarter of U.S. firms having integrated the technology into daily workflows. He warned that an economic recession could accelerate AI adoption, citing Goldman's analysis of automation cycles in past downturns: "A cyclical slowdown could accelerate AI-related automation and layoffs, amplifying the overall business cycle." AI remained the most frequently cited reason for layoffs in September, accounting for 21% of announced cuts, while technology led all sectors at 29%, according to Challenger, Gray & Christmas data.