Goldman Sachs Says AI Is Already Reshaping the U.S. Job Market
Goldman Sachs estimates that artificial intelligence is already reducing monthly job growth, particularly in technology and other knowledge-intensive sectors, although the broader labor-market impact remains limited.
Artificial intelligence is no longer simply a future threat to employment—it is already having a measurable effect on parts of the U.S. labor market, according to Goldman Sachs Research. Economist Joseph Briggs says AI is already affecting sectors such as technology, management consulting and graphic design, where AI tools have become increasingly capable of performing routine tasks.
Goldman estimates that AI is currently creating a 10,000–15,000 monthly drag on U.S. job growth across affected sectors. However, the bank emphasizes that this remains a relatively narrow labor-market shock and has not yet produced a major change in overall U.S. employment. The impact is therefore concentrated rather than economy-wide.
The longer-term outlook could be considerably larger. Goldman Sachs estimates that around 300 million jobs globally are exposed to AI automation, while AI could potentially automate tasks representing approximately 25% of U.S. working hours. Under its baseline scenario, widespread AI adoption could take about a decade, with roughly 6%–7% of workers displaced during the transition.
At the same time, Goldman does not expect AI to simply eliminate work. AI infrastructure is already generating demand for workers in areas such as construction, electrical work, engineering and data-center operations. Goldman estimates that data-center construction has contributed to roughly 216,000 additional construction jobs since 2022, showing how technological disruption can simultaneously reduce demand for some tasks while creating new employment elsewhere.
The bigger story is therefore likely to be job transformation rather than immediate mass unemployment. Goldman expects AI-driven productivity gains to eventually increase economic output while shifting workers toward new roles. The speed of adoption will be crucial: a gradual transition would give workers and businesses more time to adapt, while a rapid wave of automation could create significantly greater disruption.
