Half of credit unions now bet AI will win new members

Nearly half of U.S. credit unions now view AI chatbots and conversational assistants as a tool to acquire new members, according to a joint report from PYMNTS Intelligence and Velera published July 31. The finding arrives as 75% of small and mid-sized businesses say they would use at least one AI feature from their financial institution within the next two years.

The report, titled "The Practical AI Opportunity: Why SMBs Want Guidance Before Automation," makes a pointed argument: business customers want practical financial help, not sci-fi automation. They want help tracking expenses, managing cash flow, and comparing financial products. They are not asking their credit unions to run their operations.

What the data shows

The numbers reveal a gap between member demand and institutional priorities. While 49% of credit unions already see AI as an acquisition play, they rank AI agents only ninth among 13 innovation priorities. The technology isn't yet where leaders focus their budgets.

Demand runs hottest among successful businesses. Some 83% of SMBs earning more than $1 million annually expressed interest in AI-enabled financial services. Smaller firms trail that number, but still clear the majority threshold. Consumer interest lags behind: only 59% say they'd use such features, compared to 75% of SMBs.

The case for starting small

Velera's Cody Banks frames the smart approach as using "a chisel versus a sledgehammer." The metaphor captures the report's central recommendation: selective upgrades that improve service without ripping out existing systems. Partnerships can compress multiyear timelines into months.

The report likens the right path to learning to cook: master a few reliable dishes before attempting the seven-course tasting menu. Credit unions that begin with conversational AI and everyday money-management tools can deliver value now while building toward bigger capabilities later.

Why SMBs, not consumers, drive this

Business owners face more complex financial decisions than individual consumers. Cash flow forecasting, expense categorization, and product comparison require more cognitive overhead. AI tools that handle routine analysis free up time for decisions that actually need human judgment.

That's the practical opportunity. SMBs aren't asking for autonomous agents that manage accounts without oversight. They want assistants that surface insights, flag anomalies, and answer questions about their own financial data. The gap between what businesses want and what many credit unions prioritize suggests room for early movers to capture loyalty.

What the report doesn't say

The PYMNTS/Velera analysis stops short of naming which AI tools deliver results. It doesn't benchmark credit unions that have deployed conversational AI against those that haven't. And it doesn't quantify how much these implementations cost.

That last gap matters. The report argues that starting small costs "far less than a full transformation," but doesn't define either figure. Credit unions weighing the investment need harder numbers than metaphors about chisels and sledgehammers.

Still, the directional signal is clear. Business customers have told credit unions what they want. The institutions that listen first stand to gain the members.

Source: PYMNTS | / PYMNTS