Top Economist Warns AI Could Triple Unemployment Within a Decade — ‘What We Are Living Through…Is Unprecedented’
Key takeaways
- AI could triple U.S. unemployment in a decade, forcing a rapid labor market overhaul.
- 75% of Americans fear AI job loss
- 11 million U.S. workers to transition by 2035
- AI training can pay up to $200/hr
What happened
Nobel Prize‑winning economist Daron Acemoglu warned that artificial intelligence could triple U.S. unemployment within a decade if current trends continue, citing the speed of job displacement as unprecedented. He noted that while AI training roles exist, they employ far fewer people than those likely to be displaced. A Pew Research study found that nearly 75% of Americans fear AI will cost them their jobs, and a McKinsey Global Institute report projects 11 million U.S. workers will need to…
Why it matters
The potential tripling of unemployment signals a seismic shift in labor markets, affecting consumer spending, fiscal policy, and social stability. If AI displaces workers faster than new roles are created, wage growth could stall and inequality may widen. Policymakers and businesses must anticipate workforce…
Short-term and longer-term
Short-term. Over the next few weeks, traders should watch for AI‑related hiring data releases and corporate earnings that disclose automation spending.
Longer-term. Over the coming months, investors should evaluate companies’ exposure to AI displacement versus their investment in reskilling programs.