Credit Unions Turn to AI for Member Acquisition, Study Finds

Credit unions entering the artificial intelligence age have a distinct advantage: their business customers are explicitly stating which capabilities they need most.

New research from PYMNTS Intelligence, conducted with Velera, reveals that small and mid-sized businesses prefer tangible financial assistance from their credit unions rather than futuristic automation features.

The data shows a pragmatic roadmap. Instead of pursuing costly comprehensive AI transformations, credit unions can succeed by launching modest advisory capabilities and scaling gradually over time. Institutions that start with conversational interfaces and routine money-management features can provide immediate value while constructing the foundation for more advanced functionality.

The study documents strong appetite for AI-powered banking features among business customers:

• 75% of SMBs indicate they would adopt at least one AI feature from their financial institution within two years, significantly exceeding the 59% of consumers expressing similar interest
• 49% of credit unions currently position AI and conversational assistants as a member-acquisition strategy, though AI agents rank only ninth among 13 innovation priorities
• 46% of credit unions now operate chatbots, a dramatic increase from just 3% in 2019, according to Cornerstone Advisors data

Interest peaks among the most established SMBs, with 83% of businesses generating over $1 million in annual revenue expressing interest in AI-enabled financial services.

Business owners are seeking assistance with expense tracking, cash flow management, and financial product comparison. They're not looking for their credit unions to assume operational control.

Velera's Cody Banks characterizes the optimal strategy as "a chisel versus a sledgehammer" — targeted enhancements that elevate service quality without dismantling established systems.

Strategic partnerships can accelerate deployment timelines, condensing what might otherwise require multiple years into a matter of months.

The research delivers an optimistic message for credit unions: their members have identified a precise starting point, and initial implementation costs remain substantially lower than comprehensive system overhauls.