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Jamie Dimon announces that JPMorgan will recruit more AI experts and fewer bankers.

Jamie Dimon announces that JPMorgan will recruit more AI experts and fewer bankers.

AI’s Impact on JPMorgan’s Workforce

Jamie Dimon, the CEO of JPMorgan Chase & Co., mentioned on Thursday that the rise of artificial intelligence (AI) will likely lead to a notable reduction in the bank’s workforce. However, he assured that this transition won’t involve the upheaval of mass layoffs.

During an interview in Shanghai with Bloomberg, Dimon expressed his belief that AI will greatly enhance employee productivity.

He pointed out that, although technology will eventually lessen the need for certain roles, the bank plans to address this shift through “natural attrition.” Essentially, they won’t be hiring for the 25,000 to 30,000 positions that employees leave, either through retirement or resignation each year.

Dimon explained, “There will be various types of jobs, and in certain areas, we’ll likely hire more people skilled in AI while reducing the number of traditional bankers. This will ultimately increase productivity.” He added, “I think there’s going to be less work for us moving forward.”

Current employees whose roles may become redundant will either receive retraining or be relocated to different departments. JPMorgan currently employs over 300,000 individuals worldwide.

Dimon’s statements reflect what appears to be a significant shift on Wall Street, as major financial firms are increasingly opting for technology specialists over conventional bankers who typically wear suits and ties.

AI tools are expected to drastically cut down the high costs and personnel once necessary for supporting the underlying technology of large financial institutions.

Goldman Sachs is working on what Chief Operating Officer John Waldron describes as a “digital factory floor.”

In a recent interview with CNBC, Waldron noted that the bank is leveraging AI to streamline repetitive financial tasks behind the scenes.

He compared this evolution to robots assembling cars. By using software for tasks that used to require a “human assembly line,” Goldman employees can focus more on customer interactions, he said.

Waldron, seen by many inside Goldman as a potential future CEO, anticipates that the bank’s overall workforce will remain stable, as new software engineers will take over outdated positions.

AI is also reshaping investment strategies at top levels. Ken Griffin, founder of investment firm Citadel, recently acknowledged his previous underestimation of the technology, realizing it’s not just a passing trend.

Speaking at Stanford Business School, he noted that intricate research that once took teams of university-trained experts weeks to complete could now be done within hours using AI.

This rapid pace is crucial for firms like Citadel, which depend heavily on advanced mathematics to determine stock transactions.

Even though Griffin mentioned feeling somewhat “depressed” about the societal changes AI could bring, he admitted these changes are unavoidable.

Earlier this year, economists from Goldman Sachs warned that the next wave of digital transformation could greatly alter daily life.

A report released in March stated that AI poses a risk of automating tasks that currently represent 25% of work hours in the U.S., particularly impacting entry-level positions often held by individuals in their 20s and 30s.

The bank estimated that around 300 million jobs globally are susceptible to AI-driven automation.

Researchers projected that between 6% and 7% of the U.S. workforce might lose their jobs in the coming decade as companies quickly adopt this technology.

Reports indicate that early consequences have already emerged in high-tech sectors, as well as in roles requiring expertise and creativity, such as management consulting, call center operations, and graphic design.

A recent analysis from the executive coaching firm Challenger, Gray & Christmas revealed 52,050 layoffs in the tech sector during the first quarter of 2026, marking a 40% increase compared to the same period last year.

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