The chief executives of Wall Street's largest banks have provided detailed insights into how artificial intelligence is reshaping their workforces. While predictions of mass job losses have not yet materialised, leaders from JPMorgan Chase, Bank of America, Goldman Sachs, Citigroup, and Wells Fargo indicate a clear strategic focus on using AI to boost productivity, constrain hiring, and redeploy staff.
This shift comes as many institutions, which expanded during the pandemic deal-making boom, have been reducing headcounts in recent years. The consensus among executives is that AI will allow banks to handle increasing business volumes without proportionally increasing staff, fundamentally changing the nature of many roles.
JPMorgan's "Huge Redeployment Plans"
JPMorgan Chase CEO Jamie Dimon has been characteristically direct, stating AI "will eliminate jobs" and that people should "stop sticking their heads in the sand." However, in the near term, he noted the bank's headcount could remain steady or even rise with effective AI implementation.
Dimon revealed the bank already has "huge redeployment plans" for staff displaced by AI, offering them other positions within the firm. He prophesied AI will "affect every job," automating tasks like note-taking, but also creating demand in areas like cybersecurity to combat sophisticated fraud.
CFO Jeremy Barnum emphasised a cultural shift, stating the bank wants employees' first reaction to a new task to not be "'Hire more people.'" Marianne Lake, head of consumer banking, projected that operations staff could become 40% to 50% more productive over five years through automation and digital tools, leading to slower net headcount growth.
Bank of America's Efficiency Gains
Bank of America CEO Brian Moynihan provided concrete examples of AI's impact, noting the bank employs 18,000 people who code. AI techniques have reduced the coding effort for new products by 30%, a saving he equated to about 2,000 people.
These efficiencies allow the bank to manage more customer activity without a significant increase in staff. Moynihan highlighted the bank's AI assistant, Erica, which handled 1.4 billion digital customer connections and saves the equivalent of roughly 11,000 full-time employees.
At a December conference, he stated the bank is maintaining flat overall staffing by redeploying employees, with AI absorbing additional workload.
Goldman Sachs: Constraining Growth and Targeted Cuts
In a 2025 memo, Goldman Sachs CEO David Solomon, alongside President John Waldron and CFO Denis Coleman, stated AI would drive efficiency, leading to slowed hiring and a "limited reduction in roles." The memo explicitly said the firm would "constrain head count growth through the end of the year."
Solomon clarified this strategy is focused on hiring "more high-value people" to expand the business. He maintains that AI will ultimately grow the firm's headcount over a ten-year horizon, but in the near term, it is being used to cut costs and free up capacity for investment in other areas.
Citi and Wells Fargo Focus on Productivity
Citigroup, undergoing a major restructuring to save $2.5 billion and cut 20,000 jobs, sees AI as integral to improving productivity. CEO Jane Fraser stated in a memo that with AI, some jobs will change, some will emerge, and "others will no longer be required."
She cited AI-driven automated code reviews, which exceeded 1 million this year and create around 100,000 hours of weekly capacity for developers. Outgoing CFO Mark Mason expects headcount to continue trending down as productivity tools like AI improve.
Wells Fargo CEO Charles Scharf, whose bank has reduced headcount by over 25% since mid-2020, was blunt in his assessment. He criticised those who claim AI won't reduce jobs, stating they either "don't know what they're talking about or is just not being totally honest about it."
Scharf said generative AI has already made Wells Fargo's engineers 30% to 35% more productive. While coding jobs haven't been cut yet, the technology will eventually allow the bank to do more with fewer people across functions including compliance, legal, and call centres.
The Broader Strategic Shift
The executive commentary points to a unified strategic direction across major financial institutions. AI is not viewed as a tool for immediate, sweeping layoffs but as a powerful lever for productivity gains, cost control, and workforce optimisation.
The immediate future involves constraining new hiring, redeploying displaced staff, and using AI to absorb growing workloads. This allows banks to manage booming business in areas like wealth and investment banking more efficiently. As the technology matures, its role in reshaping the composition and size of the banking workforce is expected to accelerate.