Dimon Calls for Government Incentives to Support AI-Displaced Workers
JPMorgan Chase CEO Jamie Dimon said the government should offer financial incentives to businesses that support employees displaced by artificial intelligence, according to remarks made Tuesday at the Hill & Valley Forum in Washington, D.C.
Dimon outlined three employer-supported options that could receive government backing: retraining programs, early retirement packages, and internal job transfers.
"It's coming, it's going to come quickly," Dimon said of AI's workforce impact. "So therefore, can we accommodate the people if they lose their jobs quick enough? And the answer is, I don't know that's going to happen, [but] I always like to be prepared."
JPMorgan's Current Displacement Strategy
JPMorgan Chase has already begun redeploying workers affected by AI. The bank reduced operations and support roles while adding positions focused on client service and revenue generation, though overall headcount remained essentially flat over the past year.
Dimon raised the question in February as well, saying then that "society's got to think through what it wants to do if this becomes that kind of problem."
Broader Industry Signals
Other technology leaders have flagged sharper employment risks. ServiceNow CEO Bill McDermott said in March that college graduates could face severe job market challenges as AI agents handle more work, predicting unemployment among new graduates could reach the mid-30s within two years.
Block's announcement in February that it would cut 40% of its workforce-roughly 4,000 employees-signaled a shift toward operating efficiency gains rather than headcount growth.
The Capital Allocation Question
Companies now face a fundamental choice as AI increases output per employee: scale hiring to match productivity gains or improve margins and efficiency.
For government officials, Dimon's call for incentive-based policy offers a concrete framework for addressing workforce transitions. Learn more about AI for Government and AI for Human Resources to understand how these technologies affect workforce planning and policy design.
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