Goldman Sachs Sees AI Displacing 15 Million U.S. Workers as 9% Shift Drives Reallocation
Updated
Updated · The Wealth Advisor · Jul 3
Goldman Sachs Sees AI Displacing 15 Million U.S. Workers as 9% Shift Drives Reallocation
3 articles · Updated · The Wealth Advisor · Jul 3
Summary
15 million U.S. workers—about 9% of the workforce—could be displaced by AI, but Goldman Sachs says the bigger story is labor-market reallocation rather than lasting job destruction.
Goldman argues AI should be read mainly as a capital-allocation and productivity cycle, with firms that redesign workflows and pair human expertise with automation best placed to widen margins.
Current signs of that shift are already visible in slower hiring across knowledge-intensive sectors such as technology, consulting and creative services, though weaker payrolls do not yet prove AI is the main cause.
MIT economist Neil Thompson adds that adoption will likely be uneven because proprietary data, regulation, implementation costs and workflow integration can slow deployment even when the technology is ready.
For investors, the report points away from betting on mass unemployment and toward identifying sectors and companies most able to convert AI spending into durable operating leverage over the next decade.
As AI infrastructure costs soar, when will applications deliver the profits needed to justify the massive investment?
If AI eliminates entry-level jobs, what new pathways will exist for young people to launch their careers?
AI's insatiable energy demand is straining the grid. Can this revolution be powered without causing an environmental crisis?
AI and the U.S. Workforce: Goldman Sachs Forecasts 25% Task Automation and 300 Million Jobs at Risk (2026-2036)
Overview
Goldman Sachs has updated its forecast, predicting that generative AI will have a much greater impact on the U.S. workforce between 2026 and 2036 than previously thought. Their analysis, led by Joseph Briggs, estimates that globally 300 million jobs could be exposed to AI automation, and in the U.S., AI could automate tasks making up 25% of all work hours. Despite this, the report suggests that if job losses are spread over a decade and most displaced workers find new jobs within a year, the overall rise in unemployment will be limited. This highlights both the scale of potential disruption and the importance of effective worker transitions.