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ReportWorkInternationalReported

Goldman Sachs estimates generative AI could expose 300 million full-time jobs to automation

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Source: Goldman SachsAlso reported by SiliconANGLE, Business Today

Goldman Sachs economists Joseph Briggs and Devesh Kodnani estimated in March 2023 that generative AI could expose the equivalent of 300 million full-time jobs worldwide to automation. They found roughly two-thirds of US occupations exposed to some degree, with a quarter to half of the workload in those jobs open to replacement, and put the possible lift to global GDP at 7%, or almost $7 trillion, over ten years.

Why it matters

The 300 million figure became one of the most quoted estimates of AI’s effect on jobs in 2023, cited by employers, unions and policymakers weighing generative AI’s reach into office work.

When
29 Mar 2023
ID
WTA-N-2023-0127
Who
Goldman Sachs

Summary by wheresthe.ai, from Goldman Sachs and the reporting credited above. We could not open the primary document, so it is marked Reported. Checked against the source on 9 Oct 2026.

Read the original at Goldman Sachs

Source copy: download the page as saved on 18 Oct 2026 (PDF). Also held by the Internet Archive.

Next stop on this Storyline: What happened nextOECD Employment Outlook puts 27% of jobs in occupations at highest risk of automation

Cite this story

WTA-N-2023-0127: “Goldman Sachs estimates generative AI could expose 300 million full-time jobs to automation.” wheresthe.ai, 29 Mar 2023. https://wheresthe.ai/d/intl-goldman-sachs-genai-300m-jobs-2023-03/ (source: Goldman Sachs).

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