At JPMorgan Chase’s February investor meeting, CEO Jamie Dimon said something that most corporate leaders have carefully avoided: His company has already displaced workers because of AI.
“We already have huge redeployment plans for our own people; in fact, we spoke about it today, and we have to up that a little bit,” Dimon said during his Q&A session with analysts. “We can take people who are displaced—and we have displaced people from AI—and we offer them other jobs. They’re usually well-trained and highly talented, and very good at things.”
What JPMorgan’s workforce data actually shows
The bank’s overall headcount has held roughly steady. But CFO Jeremy Barnum, presenting earlier in the same event, described what’s happening beneath that flat line. JPMorgan grew client-facing roles and modestly expanded some technology functions, “while shrinking in operations and support functions,” Barnum said. In its consumer and community banking division alone, accounts handled per operations employee rose 6% in the past year, indicating a direct result of technology-driven efficiency gains.
Barnum also noted that JPMorgan has doubled its generative AI use cases in the past year, with the greatest focus on customer service and software engineering. The bank’s internal LLM platform, which Dimon said 150,000 employees use every week, has evolved from basic summarization and brainstorming toward deeper integration into business workflows and daily operations. Employees estimate they save roughly four hours a week using it, though Dimon acknowledged that time savings aren’t currently captured in the bank’s NPV calculations for AI projects.
The bank is spending approximately $19.8 billion on technology in 2026, up 10% year over year, a figure it claims is the largest tech budget in the industry.
Read more: AI will eliminate jobs, but most current layoffs aren’t AI-driven
Redeployment as a strategic function
What’s notable in Dimon’s framing isn’t just that displaced workers are being offered other jobs. It’s that JPMorgan treats redeployment planning as an active, ongoing management function, one that was literally on the agenda the day Dimon spoke to investors. He suggested the plans are being regularly revisited and scaled in response to what’s actually happening in the business.
Mary Callahan Erdoes, CEO of Asset and Wealth Management, offered a concrete example of how that process works in practice. Her division used AI to transform a controls review process, work she said previously required 200 people to individually read and compare 50-plus pages of documentation.
After building the AI-enabled solution, the bank identified 3,000 to 5,000 additional employees across the company who could benefit from the same tool. The goal, Erdoes said, was to eliminate what she called “the no-joy-work in our employees’ daily lives, so that they can get on to higher-level added value.”
AI as a tool that frees employees for higher-value work rather than simply reducing their number is a consistent thread throughout JPMorgan’s internal strategy. But Dimon’s comments make clear that the transition isn’t seamless. Some roles are displaced. The question is what happens next.
Deloitte on where most orgs actually stand
JPMorgan’s approach is the exception, not the norm. Deloitte’s 2026 State of AI in the Enterprise report, based on a survey of 3,235 senior leaders across 24 countries, found that worker access to AI rose 50% in 2025, yet most companies are still responding to that growth primarily through education rather than structural change.
When Deloitte asked how they were adjusting their talent strategies because of AI, 53% of leaders cited educating the broader workforce to raise AI fluency, and 48% said they were designing upskilling and reskilling programs. Far fewer were doing what JPMorgan is doing: Only 33% reported redesigning career paths and career mobility strategies, and just 30% said they were combining or reimagining their organizations based on new patterns from AI usage.
Deloitte’s researchers put a finer point on the distinction: The goal of AI workforce integration, at its best, isn’t to replace humans or merely assist them, but to create complementary working partnerships between humans and AI. Most organizations, by the survey’s own accounting, haven’t made that structural leap. Just 34% reported truly reimagining the business through AI by creating new products and services or reinventing core processes. The remaining two-thirds are optimizing what already exists.
That gap between ambition and architecture is exactly where workforce planning breaks down. Companies can raise AI fluency without ever addressing the harder question of what happens to the roles that AI makes redundant.
Read more | Building employee AI literacy: A DOL perspective
A broader warning for businesses and governments
Dimon used the investor meeting to press a point that extends well beyond JPMorgan’s own workforce planning. Drawing on a hypothetical he has raised before, Dimon asked what would happen if autonomous vehicles eliminated the work of 2 million commercial truck drivers overnight. Those drivers earn an average of $120,000 a year, he said. Even if replacement jobs existed, they might pay $25,000 a year stocking shelves.
“Would you do it if you put 2 million people on the street?” Dimon asked. “That’s kind of like, really bad, kind of like civilly.”
He was careful to frame the scenario as a planning exercise, not a prediction. “I’m not predicting this is going to be a problem,” he said. “I’m simply saying, now is the time to start thinking about what you’d do if it does.”
His prescriptions were specific: phased implementation that gives workers time to retire, receive income assistance, relocate or retrain. He pointed to Trade Adjustment Assistance, a federal retraining program introduced during the Clinton administration, as an example of a well-intentioned policy that ultimately didn’t work, suggesting that better-designed systems need to be built before they’re needed, not in response to a crisis.
“It may happen faster than we can adjust to it,” Dimon said, noting that AI adoption could outpace the gradual timelines that historically accompanied major technological transitions like electrification or agricultural mechanization. “But you guys, you’re all smart, write what you think the policy should be. Don’t just ask.”
JPMorgan’s scale is exceptional. Its $19.8 billion technology budget and workforce of more than 300,000 create options that most employers don’t have. But the logic Dimon described—absorb displacement through active redeployment, move talent toward higher-value work, build the systems before you need them—is not exclusive to the world’s largest bank.
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