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Nearly half of U.S. bank executives surveyed by KPMG believe that generative Artificial Intelligence will be capable of taking on between 21% and 40% of their teams´ daily tasks by the end of the year. This finding is drawn from a KPMG report published in April 2025 that polled 200 bank leaders at institutions both large and small about their technology investment plans. Despite ongoing economic uncertainties, 60% said that generative Artificial Intelligence remains a top investment focus for 2025, while 57% consider it central to their long-term innovation strategy and relevance.
The report highlights that banks are actively testing generative Artificial Intelligence in crucial areas such as fraud detection, financial forecasting, and cybersecurity. About half of respondents say their organizations are piloting such technologies in fraud and financial planning, and 34% in cybersecurity. Fraud and cybersecurity applications are most often at the proof-of-concept stage (45% each), with financial forecasting next (20%). In total, 78% of those surveyed are either using or piloting generative Artificial Intelligence for security or fraud prevention, and a significant 85% are leveraging it for data insights or personalizing customer service.
Bank executives and vendors alike note the rapid pace of advancement in generative Artificial Intelligence, leading institutions to increasingly rely on third-party partners for specialized capabilities such as knowledge graphs and market intelligence. This adoption not only targets operational efficiency but also new revenue opportunities, such as aiding bankers with deal sourcing and analysis. As fintech competitors outpace traditional banks, over half of executives acknowledge the need to evolve their offerings, but stress the importance of maintaining compliance, legal and risk controls. Experts also point to the rise of multi-agent systems, enabling automation of more complex processes. To fully realize the benefits, banks are investing in workforce training on generative Artificial Intelligence-powered tools, with many larger institutions already implementing upskilling as customer and competitive pressures mount.
