AI has cut staffing by up to 40% in parts of JPMorgan: Jamie Dimon

Artificial intelligence is no longer a future workforce scenario at JPMorgan Chase. In some parts of the bank, it has already reduced the number of people needed to do the work by 30% to 40%.

JPMorgan CEO Jamie Dimon said AI has replaced workers in specific areas, although most affected employees were offered jobs elsewhere in the organisation, according to Finance Briefs.

“Most of those workers were offered other jobs elsewhere,” Dimon said.

The numbers offer a clearer view of what AI adoption can mean inside a large employer: fewer people doing certain types of work, while hiring demand shifts towards a different set of skills.

Nearly 1,000 AI use cases are already at work

JPMorgan invests close to $20 billion a year in technology and currently has almost 1,000 AI use cases, Finance Briefs reported.

The bank is applying AI across several areas, including:

• Fraud detection
• Marketing personalisation
• Automated note-taking
• Productivity and operational workflows

The scale matters because the workforce impact is no longer limited to pilots or experimental projects. In specific departments, Dimon said AI has replaced 30% to 40% of the people previously doing the work.

However, the bank's experience also complicates the familiar AI-versus-jobs narrative. The affected roles did not automatically translate into an equivalent number of people leaving JPMorgan, with Dimon saying most workers were offered positions elsewhere.

The emerging picture is one of workforce reallocation as well as job displacement.

AI savings may not simply become higher profits

Dimon does not expect AI to dramatically reduce JPMorgan's total operating costs.

His reasoning centres on competition.

As banks use technology to lower costs, rivals can adopt similar tools and compete more aggressively on price. Dimon pointed to the impact of computerisation on banking over the past two decades, saying lower technology costs did not permanently expand industry profit margins, according to Finance Briefs.

AI could follow a similar path.

Early adopters may gain an advantage, but competitors can eventually use comparable technology. Cost savings could then flow into lower prices, stronger customer service or further investment rather than remain as additional profit.

For JPMorgan, the size of its technology budget shows how much capital is already going into this transition.

The workforce is shifting, not standing still

The staffing impact comes alongside a change in the kind of talent JPMorgan expects to hire.

Dimon said in May that the bank was likely to reduce hiring for some traditional banking roles while increasing recruitment for AI specialists and data scientists, Finance Briefs reported.

The shift creates a different workforce question. AI may reduce the headcount required for a particular activity, but banks still need people to build, manage and apply increasingly sophisticated technology.

JPMorgan's finance leadership also expects AI-related expenses to evolve.

Chief Financial Officer Jeremy Barnum described token costs as minimal and expected them to remain low until the end of 2026, although he anticipated a significant increase in the latter half of the year, according to Finance Briefs.

The comment suggests AI use inside the bank is still expanding, despite the breadth of its current applications.

JPMorgan reports $21.2 billion quarterly profit

The workforce changes are taking place while JPMorgan continues to report strong financial results.

Finance Briefs reported:

• Second-quarter net income reached $21.2 billion, up 41% from a year earlier.
• Investment banking fees rose 30% to $3.3 billion.
• The bank recorded its highest investment banking fee level since 2021.

The figures put the AI-led staffing changes in a broader context. JPMorgan is not deploying the technology only as a response to weak financial performance. AI is becoming part of how the bank redesigns work while continuing to invest heavily in technology.

For employees, Dimon's comments offer a more immediate signal of what such redesign can look like. Some teams may need significantly fewer people. Some workers may move elsewhere. And future hiring may increasingly favour AI and data capabilities.

The longer-term workforce impact will depend on how widely the 30% to 40% staffing reduction seen in specific areas can be replicated across the bank.

For now, JPMorgan's experience points to a shift already under way: AI is not only changing individual tasks. In parts of the business, it is changing how many people are needed to do the work and where human talent moves next.