Study Finds AI Critical to Credit Union Member Retention

Credit unions have long relied on member trust and local service to compete with large banks, but digital capabilities increasingly shape whether they can win younger consumers and small businesses. Research from PYMNTS Intelligence and Velera, a payments credit union service organization, points to demand for practical AI tools that help users budget, track expenses and manage credit before they entrust software with autonomous transactions.

PYMNTS published the findings on May 27, 2026, based on surveys fielded from October to December 2025. Among 500 credit union executives, 49% named AI and conversational assistants as a member-acquisition strategy for the next three years, while 60% cited personalized digital experiences; AI agents still ranked ninth of 13 innovation priorities. The wider study included 13,918 consumers and 2,474 SMBs: 75% of SMBs would use at least one AI feature from their financial institution, rising to 83% for businesses with more than $1 million in annual revenue.

Credit unions have traditionally built their advantage on member trust, community ties and financial guidance. Banks and fintech companies, however, have made conversational AI a primary gateway for customer service. As consumers grow accustomed to instant, personalized interactions, credit unions risk weakening their member experience and competitiveness if they fall behind in deployment. AI adoption has therefore become an important part of their digital transformation.

A recent report, “The AI Chat Gap: Why Credit Unions Must Act on Conversational AI,” says credit unions should accelerate the integration of conversational AI into customer service and financial guidance while preserving trust and a human touch. It provides no details on specific institutions, investment amounts, survey figures or publication dates. The immediate priority is therefore to narrow the gap between technology deployment and member expectations.