Bank of America Reports 300 Approved AI Use Cases as Employees Generate 400K Prompts Daily

On July 14, 2026, during the company's Q2 earnings call, Chairman and CEO Brian Moynihan said more than 200,000 employees are actively using AI-enabled capabilities across the bank, generating over 400,000 prompts a day.

Moynihan said the bank had more than 300 AI use cases approved as of last week, all with good economics. Of those, 114 are live generative AI use cases and 34 are fully implemented, with new capabilities added every week.

The AI disclosures came alongside strong Q2 results. Revenue rose 15% year-over-year to $31.6 billion, and net income climbed 27% to $9.1 billion, with EPS up 34% to $1.21.The bank generated 660 basis points of operating leverage in the quarter and improved its efficiency ratio to 59%, with return on tangible common equity at 17%.

Net interest income rose 9% to roughly $16.2 billion. CFO Alastair Borthwick raised full-year NII growth guidance to the top end of the 6%-8% range and lifted full-year operating leverage guidance to 300-400 basis points, up from the more-than-200-basis-point outlook given in April.

"These tools are designed to help our customer relationship managers prepare more thoroughly for the client meetings," Moynihan said, adding that bankers use them to automate research and presentations, and developers code more efficiently.

The Macroeconomic and Operational Impact of AI

Borthwick said AI tools are increasingly embedded across operations, risk, finance, technology and client-facing teams, reducing manual work and improving speed and consistency.

In Global Wealth and Investment Management, AI helps advisors prepare for client conversations, identify opportunities and personalize advice. In Global Banking, it helps bankers accelerate research and identify client opportunities. In Global Markets, AI investments help teams deliver insights faster and support client service.

Asked by KBW's Chris McGratty about AI's influence on operating leverage, Borthwick said it plays a role in two ways: supporting revenue through the bank's work financing AI-driven capital investment and infrastructure build-out, and improving the bank's own operations. He pointed to slide 20 of the earnings presentation, summarizing expected outcomes as "growth, efficiency, risk management, and resiliency."

RBC's Gerard Cassidy asked whether the bank had examined the potential credit risk if AI itself were to slow down or "roll over" in the coming years. Moynihan said the bank factors AI's impact into underwriting across its client base.

Moynihan said the bank expects clients to adopt AI responsibly while managing data and security risks. He added, AI would be "a powerful force in place for the American economy."