A new McKinsey report estimates that roughly 11 million US workers — about 7% of the country’s workforce — may need to switch occupations within the next decade due to AI-driven displacement. The report adds that the vast majority of those affected will require substantial retraining.
Why the figure matters
McKinsey’s projection highlights that AI’s impact is likely to go beyond task automation and in many cases will entail workers moving into different occupations entirely. The scale of potential transitions and the need for retraining carry economic and social implications that call for expanded training programs and reconsideration of labor-market policies.
Public concern and political responses
Public sentiment toward AI has cooled globally, driven by worries about employment effects, the electricity demands of large data centers, and repeated warnings that AI could pose existential risks. Those concerns have elevated AI on political agendas in several countries:
- The Washington Post found that policies related to AI or data centers featured in 40% of US midterm campaigns.
- Le Monde reported that AI sovereignty is one of the few issues drawing consensus among French presidential candidates.
At the same time, AI safety discussions in the United States Senate have stalled, according to Semafor.
Implications and next steps
McKinsey’s numbers suggest a need for broad, targeted retraining and transition programs over the next decade to help workers adapt to a changing labor market. The combination of public unease and rising political attention increases pressure on policymakers and employers to coordinate measures that mitigate the social risks associated with workplace upheaval.
(Reporting by Jeronimo Gonzalez.)
