Goldman Sachs Forecasts 9% AI Job Displacement, Predicting Major Layoffs Will Follow a Recession

Key points

• Goldman Sachs estimates AI could displace 9% of US workers, a figure that has risen from 6-7% in 2025.
• The bank predicts that AI-related labor disruption will amplify during cyclical economic slowdowns rather than during periods of growth.
• Current AI-attributed layoffs have decreased, with news coverage returning to early 2026 levels, despite fears of imminent displacement.
• Historical analysis shows that routine job shares decline sharply during recessions, with losses often not recovering to previous levels.
• Only 23% of US establishments have integrated AI into regular workflows, suggesting most productivity gains are still in the future.

Background

This report follows earlier Goldman Sachs predictions from October 2025, which warned of 'jobless growth' becoming the new normal. The current forecast aligns with broader industry trends where companies like Meta, Microsoft, and Block have already announced significant layoffs or hiring freezes to fund AI infrastructure. Recent labor disputes, such as the Blizzard union contract securing protections against AI automation, highlight the growing tension between technological advancement and worker security.

How outlets are covering it

Fortune and Business Insider both cite Goldman Sachs economist Joseph Briggs, who notes that while the 9% displacement figure is significant, the immediate impact on unemployment rates may be less than 1 percentage point per year. Briggs argues that many displaced workers may find new jobs quickly or exit the labor force, masking the full extent of job losses. AP News provides a contrasting perspective by detailing specific corporate actions, such as Barclays cutting 5,000 jobs and Kroger laying off 3,000 employees, attributing these cuts directly to AI spending and efficiency goals. While Goldman focuses on macroeconomic timing, AP highlights the immediate, sector-specific impacts of AI adoption on workforce sizes.

Why it matters

The timing of AI-driven job losses is critical for policymakers and investors. If major layoffs are deferred until a recession, the economic impact could be more severe, as companies may use downturns to permanently restructure workforces. This could lead to long-term unemployment and reduced consumer spending, exacerbating the economic cycle. Understanding the link between AI adoption and economic cycles helps businesses and governments prepare for potential labor market shocks.

What to watch

Goldman Sachs expects AI adoption to accelerate if the US economy enters a downturn. Companies may increase automation efforts to cut costs, leading to a spike in job losses. The bank also anticipates that AI productivity gains will exceed those of past technological shifts, potentially increasing the scope of displacement. Monitoring AI-attributed layoffs and job growth in AI-exposed industries will provide real-time indicators of the labor market's response to AI integration.