AI Burnout Threatens Top Performers at Work as AI Rolls Out
AI burnout is pushing top performers harder at work, and Wellhub says wellness programs are now key to retention.
JAKARTA — AI Burnout Threatens Top Performers at Work as companies push artificial intelligence into more teams and place the heaviest implementation work on their strongest employees. The strain is showing up not just in workload, but in who gets asked to carry the transition.
That matters because the people most likely to lead AI adoption are often the same ones managers trust with the hardest assignments. They test tools, train colleagues, fix workflow problems, and still have to hit their own targets. The pace rises fast. So does exhaustion.
Top performers are carrying the load
A survey by wellness platform Wellhub found that 88 percent of people leaders say retaining top talent is now a top priority. Another 85 percent said they use employee wellness programs to help keep those workers from leaving. The numbers point to a clear shift in HR thinking: companies are no longer focused only on hiring talent, but on keeping it from burning out during change.
Carolee Gearhart, chief revenue officer at Wellhub, told HR Brew that AI can cut in two directions. “AI either amplifies burnout, or it can amplify performance,” Gearhart said. “Everyone’s aiming for the scenario in which it’s going to be amplifying performance and grappling with the way that it’s accelerating burnout.”
That tension is easy to see inside many workplaces. The best performers usually get the first look at new AI tools because they already understand the business, learn quickly, and are trusted to set the standard for everyone else. Then the work expands. Training sessions pile up. Questions land on their desks. Their own projects do not disappear.
Short version: more responsibility, same hours.
When that pattern repeats across a company, AI stops looking like a simple efficiency upgrade and starts looking like another layer of pressure on the same group of employees.
Why HR is worried about the best people
Gearhart said HR’s focus on top performers comes from a practical reality. These employees often hold the most important institutional knowledge. They know how older systems work, they adapt quickly to new ones, and they are usually the first people asked to help others catch up.
“Those top folks are getting asked to do more,” Gearhart said. “In many cases, they’re getting asked to support other people in building the skills within the team.”
That can create a quiet drain. A star employee becomes the person everyone leans on. They review work, explain tools, write internal guides, answer repeated questions, and still carry their usual output goals. At first, the extra load feels temporary. Then it starts to shape the week. Then the month.
For employers, the risk is expensive. Losing a strong employee does not just create an open seat. It can slow down AI deployment, force other staff to cover the gap, and remove the person most capable of fixing problems before they spread. In a transition this fast, experience is hard to replace.
Wellness programs are being used as retention tools
Gearhart said companies are trying to respond with wellness programs, but employees can spot the difference between a real support system and a cosmetic perk. If leadership asks people to adapt to AI without changing workload, expectations, or communication, the wellness message rings hollow.
“It is really important…how the company is communicating to employees about the importance of them as a whole person, their whole life, and what they can do to support that,” she said. “Being silent on that is probably one of the biggest mistakes that folks make.”
That silence can be costly. Workers often read it as a signal that output matters more than health, family, or rest. And once that message takes hold, retention gets harder. People may not leave immediately. They just start checking out, one late night at a time.
Gearhart also said wellness needs are not one-size-fits-all. Some employees need more realistic deadlines. Others need mental health support, better boundaries, or space to step away. The point is not to hand out generic benefits and call it solved. The point is to match support to the actual pressure people face.
What it means for workers and companies
For workers, the lesson is direct. AI-related stress does not always come from the software itself. A lot of it comes from the way organizations assign the work around the software. When managers pile implementation, training, and regular responsibilities onto the same high performers, burnout can build quickly and quietly.
For companies, the stakes are even clearer. AI adoption cannot be judged only by rollout speed or tool usage. Leaders also need to watch who is absorbing the change, who is helping others adapt, and who is nearing the edge of fatigue. Ignore that, and the company may lose the very people it depends on most.
HR Brew reported that the issue is gaining attention as employers try to capture AI’s benefits without draining their best people. The technology may boost output. But the human cost sits underneath the dashboard, and it often shows up first among the employees least likely to complain.
As companies race ahead, the real test may be simple: can they keep their top performers energized long enough to make AI worth the effort, or will the heaviest burden fall on the same workers until retention breaks? Wellhub’s data suggests employers are already feeling the pressure, with 88 percent of people leaders making top-talent retention a priority.
