Goldman Sachs and US Senator Warn of AI Job Disruptions

A Goldman Sachs Research report predicts that artificial intelligence could disrupt up to 300 million jobs globally over the next decade, potentially displacing 6-7% of workers. The report suggests AI could automate tasks accounting for one-quarter of all U.S. work hours, primarily impacting technology, creative, and knowledge-based sectors. While the bank projects a modest unemployment increase if the transition is gradual, it notes a critical surge in demand for 500,000 additional skilled trades workers by 2030 to build AI infrastructure.

Responding to these trends, Mark Warner, a U.S. Senator from Virginia, is calling for the Bureau of Labor Statistics to track the specific impact of AI on employment. Warner highlighted a 9% unemployment rate among recent college graduates and significant hits to the software and human resources industries. These concerns align with a 2025 warning from Anthropic CEO Dario Amodei, who stated that AI could eliminate half of all entry-level white-collar jobs and cause unemployment to spike to 10-20% within five years.

Despite the emergence of 1.3 million AI-related roles according to LinkedIn data, investors and research firms warn of a race to the bottom for white-collar knowledge work. Analysts suggest that as human intelligence ceases to be a scarce economic input, the value of traditional white-collar labor may collapse.