Goldman Sachs Says AI Jobs Apocalypse Is Overstated as Infrastructure Faces Labor Shortages
Goldman Sachs expects generative AI to reshape jobs gradually over the long term rather than trigger a near-term “jobs apocalypse.” As technology giants continue building data centers, power infrastructure and manufacturing facilities, some labor demand is shifting from white-collar roles to physical infrastructure work such as construction and equipment installation. The total investment involved has not been disclosed.
Goldman Sachs estimates in its latest report that AI could displace about 15 million U.S. jobs over the next decade. However, the shift will not happen all at once because companies need time to adopt the technology and workers need time to change careers. The report also expects labor shortages in two areas: industrial infrastructure and AI infrastructure. Available event data does not specify the report’s publication date or any individual investment amount.
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The history behind this eventGoldman CEO Solomon Says AI Mass-Unemployment Fears Are Overblown, New Jobs Will Emerge
The rapid adoption of generative AI in knowledge-intensive industries such as finance and law has fueled concerns that automation will displace white-collar jobs. Goldman Sachs CEO David Solomon said the technological shift would reshape job responsibilities, but productivity gains would also create new roles in areas including systems management, risk control and regulation. He said the labor market was not headed for an “apocalypse.”
In a New York Times opinion piece published by July 2026, Solomon said banking and the legal industry would be among the first affected, but fears of mass unemployment were overblown. He also said AI infrastructure development had already spurred about $700 billion in investment. The construction, maintenance and operation of data centers and related facilities are creating tangible demand for workers in construction, engineering and technical services.
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