Goldman: AI could hit 300M jobs
Goldman Sachs projects AI could displace as many as 300 million jobs globally over the next decade, estimating 6–7% of the workforce could be affected and flagging entry‑level, repetitive roles as most at risk. The forecast underscores why hybrid engineering and cloud skills are increasingly prized. (thenews.com.pk)
Goldman Sachs published an outlook titled “How Will AI Affect the US Labor Market?” on March 18, 2026 and estimates roughly 300 million jobs globally are exposed to AI automation. (goldmansachs.com) The report’s base case assumes wide-scale firm adoption over about a 10‑year horizon and projects 6–7% worker displacement, which Goldman says would raise the unemployment rate by roughly 0.6 percentage points if spread evenly across that decade. (goldmansachs.com) Goldman’s analysts find AI could automate tasks equal to about 25% of total work hours in the United States, based on occupation‑level task exposure. (goldmansachs.com) The research examined more than 800 occupations and flags high exposure in knowledge and clerical roles—naming computer programmers, accountants and auditors, legal and administrative assistants, customer‑service representatives, management consultants, call‑centre staff, and graphic designers. (goldmansachs.com) To offset labor shifts, the report points to increased demand for power and data‑centre buildout, estimating roughly 500,000 net new power‑sector jobs needed by 2030 and highlighting utilities construction, electrical contractors, and HVAC contractors as growth areas. (goldmansachs.com) Goldman’s team also models wider outcome ranges—displacement could fall between about 3% and 14% under alternate assumptions—and estimates generative AI could lift labor productivity by roughly 15% when fully adopted. (goldmansachs.com)
