AI won’t slow down. Neither should credit unions.

Credit unions risk losing the future if they don’t act soon. Already just 14% of Gen Z choose a credit union as their primary financial institution, and more frighteningly, 37% say they’re likely to leave their credit union within the next year—more than double the average across all generations. When I started college, I didn’t even know what a credit union was.

This generation gap largely occurs due to technology gaps. Many CU leaders I talked to have never properly used basic tools like ChatGPT.

To win the future generation, CU leaders must lean into AI across virtually every area of business—from marketing and education to member support and internal operations. We’re only at the beginning of AI growth but with so many possibilities, leaders need guidance. Here are five practical areas where generative AI (GenAI) will attract and engage the youngest members.

Younger generations new to personal finance struggle with the basics of financial literacy, including how checking differs from savings, how credit scores are built, and how fees work. Credit unions have aptly targeted this through community education programs but GenAI opens the door to doing it faster, smarter, and at scale—with personalized guidance that meets users exactly where they are or even gamified learning experiences that feel like Duolingo for money.

Instead of static brochures, credit unions can plug into existing GenAI platforms and offer AI-powered tutors directly through their websites or apps. These tools adapt to each member’s knowledge and learning style, making guidance feel personalized and even gamified. That not only builds confidence for younger members but also positions the credit union as a modern, approachable guide at the very start of their financial journey.

Attention spans have plummeted and, as a result, Gen Z expects instant support, 24/7. They don’t want to wait on hold or visit a branch. That’s the beauty of AI. Voice AI agents and AI chatbots can deliver instant answers almost indistinguishable from human agents, answering everything from “What is overdraft protection?” to “How do I set up direct deposit?”

These tools also do more than just FAQs. Voice AI agents listen, respond naturally, and perform multi-step processes like blocking and ordering a new card in a way that feels personalized. For credit unions, this reduces strain on staff while ensuring all members feel supported.

For Gen Z, rewards need to be relevant, instant, and feel personal. Yet again, AI can supercharge what credit unions can offer. In this case, GenAI can design reward programs customized to individualized users and personalize how rewards are communicated, making each interaction feel like it was designed just for them.

By aligning rewards with real world habits and goals, credit unions can encourage healthier financial behaviors while building stronger loyalty. When members feel like their rewards truly reflect their lifestyle and values, loyalty deepens and long-term retention becomes a natural outcome.

Instead of being reactive, AI can help credit unions become proactive financial partners. Predictive analytics can spot patterns long before they arise—such as when a member is likely to overdraft or when they could benefit from setting aside money for upcoming expenses. GenAI expands insights by turning them into actionable and personalized advice. For students, that means getting timely nudges that help them avoid mistakes, save more effectively, and feel supported in building a strong financial foundation.

Reaching Gen Z means telling the right message, on the right platforms, and at the right time. GenAI can help credit unions craft personalized campaigns through new video generation models like Google’s Veo 3 that create entertaining and production ready TikTok style videos in minutes.

AI won’t slow down and neither should credit unions.

Right now, the average credit union board member is over 70. That’s a lot of valuable experience, but if boards want to stay relevant, they need to get younger. Credit unions should consider reserving a board seat for an AI power user—maybe even a college student—and establish an advisory body working with leadership teams to help share perspectives that drive innovation.

The future of credit unions is already here. But if credit unions fail to adapt to AI, they'll risk preserving tradition at the cost of relevance.