AI is already changing the workforce, and employees have good reason to pay attention. Meta is cutting roughly 8,000 jobs while directing enormous investment toward artificial intelligence, and other major companies are making similar moves as they look for ways to operate with smaller, more AI-enabled teams. That kind of news moves quickly through every industry, including financial services. It is not surprising that employees hear “AI adoption” and wonder whether their job is next.
A credit union CEO I work with understood that concern before she introduced AI into her call center. Like every credit union leader, she is competing against major banks, fintech firms, and other financial institutions that are training members to expect faster, easier, more convenient service. She gathered her team for an honest conversation because she knew they were anxious. She did not try to minimize it.
She told them AI was going to take over what she called the “un-fun work”. Routine transactions, repetitive questions, predictable processes, and calls that did not require deep experience to resolve. The purpose was to move people into work where their judgment and member knowledge had higher value. The most experienced employees would stay in direct contact with members, especially in situations where history and trust shaped the outcome. Other employees would be trained and moved into different roles. Open call center positions would not be backfilled, and natural attrition would reduce the size of that area over time. Nobody would lose their job.
Credit unions cannot ignore the standard being set by larger institutions. Bank of America’s AI assistant, Erica, helps customers manage daily finances through personalized guidance, proactive alerts, account support, and answers to a wide range of banking questions. Last year, 20.6 million users interacted with Erica nearly 700 million times, and total client interactions have surpassed 3.2 billion since launch. Bank of America has also expanded Erica internally, where employees use related tools for IT, HR, call-center support, and client preparation. Whether a credit union likes that comparison or not, members are experiencing that level of digital convenience in many parts of their lives. That has changed what they expect from their credit union.
Credit unions should not try to become mega banks. That would be a poor strategy. They do, however, need to decide where technology improves the experience and where human expertise still creates the greatest value. AI can handle repetitive work, shorten wait times, and help employees get to useful information faster. People are still essential when the situation requires judgment, empathy, or a deep understanding of the member’s financial life.
The same thinking applies inside the organization. If employees believe AI is being introduced as a quiet path to job elimination, they will resist it or disengage. If they understand that AI is being used to remove lower-value work and help them spend more time on meaningful member interactions, they are more likely to participate in the change. That requires direct communication, visible training, and enough specificity that people can see how their role might evolve.
The CEO in this story did something many leaders will need to do. She faced the fear directly, explained the business pressure, and showed her team how the organization intended to use AI without abandoning the human expertise that made the credit union valuable in the first place. She was honest that the work would change and clear that people would be treated with respect as it did.
AI will replace some work, and in some organizations it will replace jobs. Pretending otherwise destroys credibility. The stronger leadership move is to decide deliberately which work should be automated and which work should be elevated. In credit unions, the answer should be shaped by the member relationship, not only by operational efficiency.
The question for credit union leaders is whether AI will become a blunt cost-cutting tool or a way to redesign work around the people who create the most trust. That decision will say a great deal about the future culture of the organization.
