The five largest US banks — JPMorgan Chase, Bank of America, Citigroup, Wells Fargo and Goldman Sachs — released second‑quarter results and addressed how artificial intelligence (AI) may affect their operations and workforce. According to CNBC, chief executives discussed AI alongside consumer trends during their earnings commentary.
Jamie Dimon: AI enabled 30–40% changes in some roles
Jamie Dimon, CEO of JPMorgan Chase, said during the Q2 report that AI has made 30–40 percent reductions possible in certain job categories. He added that most affected employees were offered other positions within the organization. JPMorgan’s headcount was 320,560 as of June 30, essentially unchanged from the prior quarter.
Goldman Sachs: infrastructure is early, AI complements human talent
David Solomon, CEO of Goldman Sachs, stated that building AI infrastructure is still in an early phase and described the technology as a tool that complements rather than replaces human talent. Goldman’s share price opened more than 7 percent higher after the remarks.
Bank of America: managing workforce impacts is a management task
Brian Moynihan, CEO of Bank of America, said handling AI’s effects on the labor force is a management responsibility. He noted that the bank hired 2,000 interns and an equal number of permanent employees over the summer, indicating ongoing hiring in some areas.
Citigroup: widespread internal use of AI tools
Jane Fraser, CEO of Citigroup, said nearly 90 percent of the bank’s employees use the firm’s internal AI tools. She argued that these tools not only improve efficiency but also support growth.
Why this matters
The CEOs’ comments signal that AI could drive structural shifts across banking operations by automating routine work, boosting efficiency and changing job content. At the same time, the leaders emphasized internal redeployment and using AI to augment employees rather than wholesale replacement, and noted that infrastructure and deployment are still evolving.
Further details on strategies and staffing decisions are likely to emerge in coming quarters as banks integrate AI into daily operations and respond to regulatory developments.
