Goldman Sachs forecasts automation could displace 6% to 7% of US workers
Goldman Sachs Research forecast that automation could displace 6% to 7% of US workers over the next decade and reported that historically displaced workers faced longer job searches, larger earnings losses, and persistent scarring, while retraining improved transitions.
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Why it moved the index
The analysis adds quantified evidence about the scale and persistence of worker harm that may accompany AI-driven automation, including slower re-employment and earnings losses. Confidence is capped because the forward-looking AI claim is extrapolated from historical automation rather than observed decade-long AI displacement.
Assessment history
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R1
Toward 30 · confidence 58
Adds a dated institutional forecast and historical worker-transition evidence directly relevant to large-scale AI labor displacement.
12 Sept 2026
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DoomBench assesses “Goldman Sachs forecasts automation could displace 6% to 7% of US workers” as evidence moving toward doom, with magnitude 30 and confidence 58 out of 100 in the human displacement category.
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The DoomBench assessment of “Goldman Sachs forecasts automation could displace 6% to 7% of US workers” is based on reporting from Goldman Sachs Research and records the editorial rationale, source quality, attribution, and revision history.
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DoomBench summarizes “Goldman Sachs forecasts automation could displace 6% to 7% of US workers” as follows: Goldman Sachs Research forecast that automation could displace 6% to 7% of US workers over the next decade and reported that...
https://www.doombench.com/news/goldman-sachs-forecasts-automation-could-displace-6-to-7-of-us-workers-2026-09-11