Goldman Sachs analysts Joseph Briggs and Sarah Dong publish a Jan. 19, 2026 report saying AI could automate nearly 25 percent of work hours, potentially displacing millions while stopping short of a full employment collapse. They forecast a 15 percent AI-driven productivity uplift, estimate 6–7 percent of jobs displaced and a peak unemployment rise of about 0.6 percentage points (roughly one million workers).
Key Points
- 1Estimates automate nearly 25% of work hours across occupations, led by routine cognitive tasks
- 2Projects 15% productivity uplift driving 6–7% job displacement during adoption period
- 3Calls for reskilling and policy measures as unemployment may temporarily rise by 0.6 points
Scoring Rationale
Authoritative Goldman Sachs forecast with broad industry impact; limited novelty relative to earlier automation studies and projections.
Practice with real Banking data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Banking problems


