The Dark Side of AI-Powered Contact Centers: How Humans Are Burning Out
The once-promising quest to alleviate stress in contact centers has taken a surprising turn. Instead of freeing up human agents from the drudgery, artificial intelligence (AI) systems have created a new wave of pressure and anxiety.
In the early days, companies believed that AI would revolutionize customer service by automating routine tasks, freeing humans to focus on high-touch interactions like empathy and problem-solving. But today, the opposite is true. The relentless monitoring and evaluation of agents' every move has led to chronic stress, burnout, and a sharp decline in morale.
The problem lies not with AI itself, but with how it's being used and governed. By framing performance as a series of numbers to be optimized, companies are inadvertently creating a culture of constant surveillance, where employees feel like they're walking on eggshells, waiting for the next critique or evaluation. This has led to a phenomenon known as "vigilance labor," where agents spend more time monitoring and adjusting their own behavior than actually interacting with customers.
The consequences are dire. Turnover rates have skyrocketed, and the most skilled and experienced agents are fleeing in droves. The companies that still manage to retain them often do so by making significant changes to their approach to AI-powered customer service β including giving agents more control over when they use real-time guidance, pruning outdated performance metrics, and prioritizing recovery time alongside productivity.
Effective contact centers of the future won't be those with the most aggressive automation, but those that treat human sustainability as a design constraint. That means recognizing the limits of technology and prioritizing empathy, judgment, and trust over efficiency and control.
The real trade-off is clear: while AI can help reduce burnout in some cases, it's only if leaders resist the temptation to turn every efficiency gain into more output, more control, and more data points. The future of contact centers depends on whether we design those machines to protect the humans who still do the hardest part of the work β holding the emotional line when things go wrong.
The once-promising quest to alleviate stress in contact centers has taken a surprising turn. Instead of freeing up human agents from the drudgery, artificial intelligence (AI) systems have created a new wave of pressure and anxiety.
In the early days, companies believed that AI would revolutionize customer service by automating routine tasks, freeing humans to focus on high-touch interactions like empathy and problem-solving. But today, the opposite is true. The relentless monitoring and evaluation of agents' every move has led to chronic stress, burnout, and a sharp decline in morale.
The problem lies not with AI itself, but with how it's being used and governed. By framing performance as a series of numbers to be optimized, companies are inadvertently creating a culture of constant surveillance, where employees feel like they're walking on eggshells, waiting for the next critique or evaluation. This has led to a phenomenon known as "vigilance labor," where agents spend more time monitoring and adjusting their own behavior than actually interacting with customers.
The consequences are dire. Turnover rates have skyrocketed, and the most skilled and experienced agents are fleeing in droves. The companies that still manage to retain them often do so by making significant changes to their approach to AI-powered customer service β including giving agents more control over when they use real-time guidance, pruning outdated performance metrics, and prioritizing recovery time alongside productivity.
Effective contact centers of the future won't be those with the most aggressive automation, but those that treat human sustainability as a design constraint. That means recognizing the limits of technology and prioritizing empathy, judgment, and trust over efficiency and control.
The real trade-off is clear: while AI can help reduce burnout in some cases, it's only if leaders resist the temptation to turn every efficiency gain into more output, more control, and more data points. The future of contact centers depends on whether we design those machines to protect the humans who still do the hardest part of the work β holding the emotional line when things go wrong.