AI may be everywhere in the headlines, but banks and credit unions are being selective about where they plan to invest first.
York Public Relations’ 2026 State of AI survey asked executives to rank seven functional areas by priority for AI investment over the next 12 to 24 months.
The results show a clear hierarchy.
Fraud detection, risk management and compliance ranked #1 with an average score of 3.12. Back-office automation and operations ranked #2 at 3.15. Customer service and contact center applications ranked #3 at 3.35, followed by lending at #4 with 3.38.
Internal knowledge and employee productivity tools ranked fifth, digital banking/self-service sixth, and sales, relationship management and cross-sell seventh.
Why These Use Cases Rise to the Top
The highest-ranked categories share something important: the operational problem already exists.
Fraud requires constant monitoring. Back-office processes consume employee time. Customer service teams manage large volumes of interactions. Lending includes extensive data, documentation and decision workflows.
AI does not have to create a new market need in these areas. It only has to demonstrate that it can address an existing one.
Revenue Applications Can Wait
Sales and cross-sell ranking last is particularly notable.
It suggests institutions are not primarily funding AI because they expect it to generate immediate new revenue. They are funding it to improve risk management, operations and service.
That is consistent with another survey finding: 82% identify operational efficiency as a goal driving AI investment, while only 16% identify increasing revenue.
For AI companies, the lesson is straightforward.
The near-term market is being shaped by practical problems, measurable outcomes and operational ROI.