AI Was Supposed to Save Us Time. So Why Are We More Burned Out Than Ever?

When artificial intelligence swept into the workplace promising to automate the mundane and liberate our calendars, it sounded like the ultimate life hack. Fewer late nights. Fewer blank-page meltdowns. More time for meaningful work, and maybe even actual rest.

But new research published in Harvard Business Review suggests the reality is far more complicated. Instead of shrinking our workloads, AI may be quietly expanding them.

In an in-progress eight-month study, researchers tracked how generative AI tools reshaped daily work habits at a 200-person U.S. tech company. The company didn’t mandate AI use; it simply provided access. What happened next was telling: employees began working faster, taking on more tasks, broadening their responsibilities, and extending work into more hours of the day — often voluntarily.

AI didn’t reduce work. It intensified it.

Researchers identified three major shifts. First, task expansion. Because AI could help fill knowledge gaps, employees began stepping into roles that previously belonged to others. Product managers and designers started writing code. Researchers took on engineering tasks. Work that might once have required additional hires was quietly absorbed by individuals empowered by AI tools.

Second, blurred boundaries. Workers slipped “quick prompts” into lunch breaks, meetings, or moments that used to be downtime. Because interacting with AI feels conversational, work became ambient — something that could always be advanced just a little more. Over time, natural pauses disappeared.

Third, constant multitasking. Employees juggled multiple AI threads at once — writing while an AI generated alternatives, reviving old projects because “the AI could handle them.” The result? More momentum, but also more cognitive load.

As one engineer summarized in the study: “You had thought that maybe, oh, because you could be more productive with AI, then you save some time, you can work less. But then really, you don’t work less. You just work the same amount or even more.”

The productivity surge, researchers warn, can mask “silent workload creep,” leading to fatigue, burnout, weakened decision-making, and eventually lower-quality work.

For Jane Chen, leadership coach, speaker, and author of “Like A Wave We Break,” the findings resonate deeply.

“AI can make work faster, but it doesn’t make it easier,” Chen says. “From my own experience, when we tie our self-worth to output, faster tools can actually intensify pressure and accelerate burnout instead of relieving it.”

In a culture already obsessed with productivity, AI can become fuel for overperformance. Chen suggests a more radical question: “Instead of asking how we can keep up with AI, the question I’ve learned to ask myself is: Who am I when I stop? It’s about separating my value as a human from my productivity.”

Chen’s TED Talk on burnout and resilience has been viewed hundreds of thousands of times, and she visits major companies including Google, Goldman Sachs, and Amazon to speak to employees about recognizing burnout early, preventing it, and using tools to sustain high performance without sacrificing well-being.

“When I catch myself responding to fear or inadequacy by working harder, I pause and ask: Am I doing this because it truly matters, or because I’m afraid I’m not enough? Even a brief pause can help break the cycle of overwork.”

The Harvard researchers argue that organizations need what they call an “AI practice” — intentional norms around when to pause, how to sequence work, and how to preserve human connection. Chen offers similar advice.

“Through practices like parts work, I’ve learned to recognize perfectionist or fear-driven inner voices and approach them with curiosity. That kind of self-reflection deepens self-acceptance and helps break patterns that fuel burnout,” she says.

“Real resilience isn’t about pushing harder. It’s about tuning into your emotions, taking actions that reflect your values, and meeting yourself with compassion — especially in moments of high pressure or stress.”

Taking steps to avoid burnout isn’t about doing less work, it will ultimately lead to better work.

“These practices aren’t about withdrawing from work — they’re about renegotiating my relationship to it,” Chen says. “I’ve found that technology like AI can support wellbeing, but only if we cultivate resilience and separate our identity from our output.”

Chen says that when she models vulnerability and emotional awareness as a leader, it gives her team permission to do the same. “That’s how trust, empathy, and innovation take root — and how burnout is prevented before it starts,” she says.

“Outcomes are never fully in our control, but our values are,” she says. “Focusing on the principles I want to stand for — like love, growth, and contribution — keeps me grounded even when work feels overwhelming.”