AI should instead be positioned as a power tool, not as a replacement crew. One that helps skilled people work faster and reduce strain, but does not replace the human judgment, care, and adaptability required to do the job well.
AI can remove friction and handle routine work. But complex, emotional, and trust-sensitive moments still depend on people.
Part of the challenge is that the public narrative around AI has focused heavily on replacement. Some outside the contact center industry have predicted major customer service headcount reductions, often based on the misconception that most customer service work is routine.
Here’ s the reality. Password resets, basic knowledge questions, and simple transactions may be easier to automate. But contact centers live in the exceptions. Every product launch, marketing campaign, policy change, or system update can create issues the organization did not anticipate.
For example, Mike has seen a marketing launch generate two weeks of upset contacts before the FAQ even reached agents. Agentic AI can only catch up once the answers actually exist.
The bigger gap is emotional, not procedural. Even when AI communicates convincingly, customers may trust the answers less, even when they are accurate.
When customers are upset, they may need more than information. They may seek reassurance, accountability, judgment, empathy, or simply the confidence that a human being understands the problem.
AI can become a powerful agent-enablement tool and valuable service channel. But when it is introduced primarily as a cost-cutting measure, that framing shapes how it is implemented, how employees receive it, and how customers experience it.
ARTIFICIAL INTELLIGENCE
... IF LEADERS TREAT [ AI ] PRIMARILY AS A COST-CUTTING SHORTCUT... THEY RISK REPEATING OLD MISTAKES FASTER, LOUDER, AND WITH GREATER CONSEQUENCES.
WHEN HEADCOUNT SAVINGS TAKE PRIORITY
Adam saw this lesson play out some years ago in a large national utility contact center where he was brought in to help stabilize the operation after an IVR rollout missed the mark.
The center was entering its predictable summer call volume spike of roughly 40 %, driven by families moving while children were out of school. Because the utility’ s systems, regulations, and processes were complex, new hire training took six weeks. Spring was always the ramp-up period.
That year, IVR vendors claimed their systems could deflect a large percentage of calls through self-service. The call center director saw an opportunity to modernize and reduce staffing costs. He bought the IVR, assigned strong people to the implementation project, and cancelled the spring training classes. Then summer arrived. When the first wave of calls hit, the IVR failed under the pressure. Customers bypassed the system, queues backed up, and hold times spiked. By the time customers reached an agent, many had already been through a frustrating self-service experience and waited far too long to handle a basic request.
The frontline absorbed the failure. Agents were overwhelmed by customers who were angry before the conversations even began.
Team leaders, supervisors, quality assurance( QA) staff, trainers, and managers jumped on the phones. But this left agents with less support when they needed it most. One-on-ones, team meetings, QA coaching, and town halls were cancelled because everyone was focused on surviving the queues.
The damage moved beyond service levels.
• Mandatory overtime increased.
• Stress rose across the center.
• Customer and employee satisfaction dropped.
• Rumors spread because normal communication channels had been abandoned.
• Employees questioned the stability of the operation, and some left for less stressful jobs.
The IVR failure triggered the crisis. The bigger mistake had happened months earlier, when staffing plans were built around projected call deflection before the technology had proven it could handle the volume.
A tool expected to reduce customer effort increased it instead, creating more stress, less support, weaker communication, and greater attrition risk. That is the cautionary lesson for AI. When leaders assume technology can replace the hard work of staffing, training, process clarity, knowledge management, communication, and frontline support, the costs do not disappear. They move: showing up in longer queues, repeat contacts, frustrated customers, burned-out employees, and lost trust.
WHEN AUTOMATION MOVES THE WORK
Customer effort is one of the clearest places poor implementations show up. When automation gives the wrong answer, sets the wrong expectation, or sends a customer down the wrong path, the contact center has multiplied the interaction. OCTOBER 2026 17