JAKARTA — AI burnout is starting to show up as a hidden cost of bringing artificial intelligence into the workplace, especially for high performers who are often asked to lead the change. Companies want work to move faster. Bodies and brains do not.
The problem is not just the new tools. As firms push AI adoption, they also tend to add more monitoring, coordination, and fresh demands on the people seen as most ready to handle it. That is where top performers can end up carrying the heaviest load.
Top performers are the most exposed
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 try to reach that goal. The message is straightforward: HR is no longer focused only on hiring, but also on keeping strong employees from burning out under new pressure.
Carolee Gearhart, chief revenue officer at Wellhub, told HR Brew that AI can work 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 is the real trade-off. AI can help people move faster, but it can also raise the pace to a level that is hard to sustain. Short sentence. Real risk.
In many organizations, the strongest employees are picked to spearhead AI adoption. They test new tools, redesign workflows, train teammates, and set the example for other departments. The list grows fast. The hours do not.
Why HR is focused on the best people
Gearhart said HR’s attention on top talent comes from a simple fact: these workers often hold the most important knowledge. They understand older processes, learn new tools quickly, and are usually trusted to oversee implementation. If they get exhausted and leave, the costs can be steep: lower productivity, lost know-how, and slower progress across the team.
“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.”
On the ground, that pattern is easy to spot. The most capable employee becomes the go-to person for everything. They review coworkers’ work, explain the new tools, write guides, and still have to hit their own targets. At first it feels manageable. Then it drains them.
If companies do not reset workloads, AI adoption can turn into a paradox. The technology is sold as a way to improve efficiency, yet the people running it can end up more exhausted. That is where the phrase AI burnout starts to fit.
Wellness programs are not just window dressing
Gearhart said many companies are trying to reduce that risk through wellness programs. But those programs cannot be treated like cosmetic perks. Employees, especially strong performers, want to know whether leadership genuinely cares about their well-being or is simply chasing output.
“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.”
When companies stay quiet, the message employees often hear is simple: work first, everything else later. Gearhart said retaining talent requires a fuller recognition of people as humans, not just output machines.
She also stressed that wellness needs vary from person to person. One worker may need a more realistic schedule. Another may need mental health support, a quiet place to step away, or goals that match actual capacity. There is no single formula. That is exactly the point.
What it means for workers and companies
For workers, the finding is a reminder that pressure from AI does not always come from the software itself. It often comes from the people managing it. When managers ask for more, while systems have not adjusted to the new workload, burnout can rise with little warning.
For companies, the lesson is even simpler: AI adoption should not be measured only by how fast it rolls out. Leaders also need to see who is carrying the transition, who is training everyone else, and who is quietly running out of energy along the way. Ignore that point, and retention can leak from the very layer that is most expensive to replace.
HR Brew reported that the issue is getting more attention as companies try to capture AI’s benefits without sacrificing the people who make it work. That is not a small balancing act. AI can lift performance. But if organizations miss the early signs of fatigue, their best people may leave without much noise.
Going forward, the most durable companies may not be the ones using AI the most aggressively. They will be the ones that manage the human load behind it the best.
Summary singkat
1. AI burnout appears when AI adoption adds more work to top performers.
2. Wellhub says 88 percent of people leaders prioritize retaining top talent, and 85 percent use wellness programs.
3. HR needs to treat employees as whole people, not just productivity engines.
FAQ singkat: What is most at risk? The people leading AI adoption. What helps? Reasonable workloads, open communication, and real wellness support.
The next step is in companies’ hands: whether AI is used to strengthen people, or slowly drain them one by one.
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