Goldman Sachs Forecasts AI Could Displace Up to 9% of U.S. Workers

Thumbnail Image

The information displayed in the AIM should not be reported as representing the official views of the OECD or of its member countries.

Goldman Sachs research, led by economist Joseph Briggs, estimates that artificial intelligence could displace up to 9% of U.S. workers—about 15 million people—over a decade. The analysis highlights potential job losses and slower hiring due to AI-driven productivity gains, with impacts likely intensifying during economic downturns.[AI generated]

Why's our monitor labelling this an incident or hazard?

The article does not describe a specific AI system causing direct or indirect harm, nor does it report an actual incident or malfunction. Instead, it presents a forecast and analysis of potential future labor market disruptions due to AI, which constitutes a plausible risk but not a realized harm. Therefore, this qualifies as an AI Hazard because it highlights a credible potential for AI to cause significant labor displacement and associated harms in the future, but no actual harm has yet occurred as per the article.[AI generated]
AI principles
Human wellbeing

Industries
Financial and insurance services

Affected stakeholders
Workers

Harm types
Economic/Property

Business function:
Research and development

AI system task:
Forecasting/prediction


Articles about this incident or hazard