By Andrea Argueta
President Trump recently called on Congress to enforce a 10% credit card APR cap. The proposal, still uncertain, has sparked industry-wide concern about credit availability. America’s Credit Unions cautions thattwo-thirds of credit card users who carry balances could see their credit limits cut or eliminated under such a cap. And almost all of the 47 million Americans with subprime credit scores could lose access to cards altogether.
While troubling on their own, these projections also expose a vulnerability that credit unions should consider beyond this single proposal: When external pressures squeeze margins and limit product options, credit unions have fewer levers to deliver value to their members. What remains is member experience—the very thing credit unions have always claimed as their differentiator.
But member experience under stress is a two-sided problem. A surge in volume demands greater service capacity. And members facing financial hardship need patience, empathy and real problem-solving from someone who understands their situation. Credit unions need the ability to absorb a surge in inbound inquiries without sacrificing the human attention that defines their service model.
The good news: AI is now mature enough to help credit unions unlock efficiency while strengthening service—but only if credit unions choose AI built specifically for banking.
Maintaining Personalized Support
Consider what happens whenever credit tightens—whether from regulatory action, economic shifts or internal risk adjustments. Members facing reduced credit lines, eliminated cards or unfamiliar fee structures flood contact centers with questions, appeals and requests for guidance. Many are confused. Some are angry. Others are desperate, mid-emergency, needing funds they assumed would be available.
Calls like these aren’t routine: They require greater skill and more time, and they arrive in higher volumes precisely when members are most financially stressed and most likely to judge their credit union by the quality of support they receive.
Members with thinner credit files, such as younger people, those earlier in their careers or those recovering from financial setbacks are often the first to feel the effects of any external pressure on credit availability. They’re also the members who most rely on credit unions for emergency relief.
When these members cannot find the right help quickly, credit unions risk undermining the trust that defines their core competitive advantage.
Why Hiring, Third Party Contact Centers Fall Short
The obvious response to a service surge is to hire more frontline support. But obvious doesn’t mean realistic: In a tight labor market with high turnover, credit unions may not be able to hire more qualified agents, even if they could afford it.
Outsourcing presents its own problems. Third-party contact centers often lack the institutional knowledge and relationship context that define credit union service. They may not have authority to make lending decisions. A member calling about a credit line reduction does not want to explain her 15-year history to someone disconnected from that history.
The worst option is letting service quality degrade while volume overwhelms capacity. The Defense Credit Union Council has warned that restricting credit union lending does not eliminate the need for credit—it simply shifts that need toward less-regulated, higher-cost alternatives outside the credit union system.
Poor service experiences accelerate that shift. Neither hiring nor outsourcing solves the fundamental problem: Credit unions need to handle more volume without sacrificing the human attention that members in distress need.
How Banking AI Solves Efficiency vs. Experience Tradeoff
For years, credit unions have watched their service ambitions outpace their technology. Legacy systems and disconnected platforms have forced frontline teams to work around their tools rather than with them.
AI can solve both sides of the member service problem—meeting rising volume while strengthening personal care—but only if credit unions deploy AI purpose-built for their mission. Voice AI for banking deflects Tier-1 inquiries about branch hours, card activations, and recent transactions, freeing up agents to focus on members who reach out in distress.
Still, many credit unions have yet to deploy voice AI in their contact centers. Some leaders fear that automating service is inconsistent with a credit union’s human-first ethos. But with voice AI built specifically for banking, credit unions improve personal support rather than compromising it.
Consider This
Consider this: Without automation, when frontline teams face a surge in volume, they must treat all these inquiries equally—even though some demand significantly more care and expertise. With voice AI purpose-built for banking, credit unions can deflect routine inquiries and make their agents more accessible to members that really need human support.
In addition to freeing up agents for complex interactions, banking voice AI is now mature enough to immediately identify the inquiries that require human help, then route them to the right agent. Banking AI also supports agents through complex interactions. By prepping agents with member histories, transcribing calls in real-time, offering real-time coaching, and automating post-call wrap-up, banking AI helps agents offer better service with greater accuracy. An agent handling a hardship request can immediately offer targeted, expert support, improving both efficiency and the member experience. ‘It can also help managers by analyzing interactions for performance strengths and gaps, helping them see trends in service requests to be more proactive in strategic resolution.
Build Service Resilience With Banking AI
Regardless of what happens with the APR cap, there are many unpredictable external pressures that can strain service capacity. Voice AI for banking empowers credit unions to be ready for future volume spikes. The right AI banking partner allows for fast deployment, whether with a fully unified voice and digital AI platform or a standalone voice AI solution that works with existing infrastructure.
Credit unions have always built loyalty through human care—understanding member needs and closely guiding them at every step. That advantage holds only if credit unions can deliver it at scale, even under pressure. Banking AI, built specifically for credit unions, makes that possible.
Andrea Argueta is Director of Financial Institution Advisory at Glia, where she helps credit unions use banking AI to eliminate the efficiency vs. experience tradeoff.
