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Goldman Sachs Predicts AI Automates Quarter Work Hours

||By LDS Team
8.2
Relevance Score
Goldman Sachs Predicts AI Automates Quarter Work Hours
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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.

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