JPMorgan Chase CEO Jamie Dimon has outlined “huge” plans to redeploy employees as the banking giant accelerates its adoption of artificial intelligence, according to reports.
Speaking at an investor meeting this week, Dimon said the firm is preparing to move workers whose roles are disrupted by AI into new positions across the organisation.
“We already have huge redeployment plans for our own people,” Dimon was quoted as saying. “We have to up that a little bit so we can take people who are displaced, and we have displaced people from AI, and we offer them other jobs.”
Bank ‘fundamentally rewired’ for AI era
Dimon’s comments build on earlier signals from the bank’s leadership about the scale of transformation underway. Last year, chief analytics officer Derek Waldron said the institution is being “fundamentally rewired” for the AI era, with a long-term ambition to become a fully AI-connected enterprise.
The push reflects a broader industry shift as financial services firms embed AI across operations, risk, customer service and trading functions.
Job disruption concerns persist
The rapid adoption of AI has intensified global anxiety around job security. Since 2023, AI has been cited in 79,449 job cut announcements in the United States, according to data from outplacement firm Challenger, Gray & Christmas.
Dimon had previously acknowledged the impact. In his 2024 letter to shareholders, he said the bank expects reductions in certain roles as automation expands, while also creating new opportunities.
“As we have in the past, we will aggressively retrain and redeploy our talent to make sure we are taking care of our employees if they are affected by this trend,” he wrote.
Headcount shifts underway
The bank’s overall workforce has remained relatively stable, with 318,512 employees over the past year compared with 317,233 in 2024. However, internal composition is shifting.
Operations and Support teams saw headcount declines of 4% and 2%, respectively, in 2025. In contrast, revenue-producing and front-office support roles grew by 4%, while technology teams recorded a modest 1% increase.
The changes underscore how AI is not simply reducing jobs but reshaping workforce demand, pushing talent toward revenue, client-facing and technology-heavy roles even as back-office functions face pressure.