It’s time to stop blaming burnout and acknowledge what is draining leaders.
It is not burnout. And until we name what it is, we’ll keep losing the people we can least afford to lose.
At a recent convening of C-suite leaders, one theme kept surfacing in the sessions, over dinner, and in the hallway conversations in between. It was some version of the same confession, repeated by leaders who had never met before that week: “I’m not tired of the work. I’m tired of being pulled in opposite directions all day.”
They weren’t describing burnout. I sat in those seats for years before I started advising the people in them, and I hear this everywhere I go now. These leaders are holding too many contradictions at once, with little to no acknowledgment that the contradictions even exist.
Think about what we ask of leaders right now. Move faster, but don’t make mistakes. Adopt AI, but protect the trust it can erode overnight. Hit the number, but don’t burn out the team getting there. Be transparent with your people, but never let them see you unsure, especially about the one thing everyone is asking about.
We’ve normalized all this as just leadership. It isn’t. Sustained contradiction is cognitive and moral strain. When we mislabel it as burnout, we hand the problem back to the individual: rest more, delegate better, and be more resilient. Let’s call it what it is—contradiction fatigue. Suddenly, you must look at the system generating it.
That shift, from fixing the person to fixing the design, is the one most organizations still haven’t made.
Silence is making it worse
At the very moment leaders are absorbing all of this, most organizations have gone quiet. According to Mercer’s 2025 HR Tech Report, fewer than 20% of employees have received information from their direct manager explaining what AI means for their job. Fewer than one quarter have received communication from their CEO, and only 13% have had their HR team reach out.
That silence doesn’t calm anyone. It fuels anxiety, and the anxiety lands on managers who are expected to project confidence about a technology no one briefed them on either.
The support we do offer often adds weight instead of lifting it. According to a LinkedIn survey, about half of professionals said AI training now feels like a second job because of intensive tutorials, unattainable completion timelines, and an unclear connection to their work.
And the stakes keep climbing. The World Economic Forum’s Future of Jobs Report 2025 puts leadership and social influence, analytical thinking, creative thinking, and resilience among the fastest-growing skills organizations will need through 2030. Notice what those have in common: none of them can be automated. As AI makes information cheap, judgment gets expensive. As automation speeds everything up, trust becomes the differentiator. The technology is raising the value of exactly the human capacities that are running thinnest.
4 things leaders can do
I don’t believe any of this is cause for despair. I’d call it a case for skeptical optimism: clear eyes about the strain and real conviction about what’s possible. But that optimism must be built into how we lead. Four shifts matter most.
- Name the contradiction. When someone on your team seems depleted, resist the instinct to ask why they can’t keep up. Ask instead what you’re requiring them to hold at once. That one question moves the conversation from personal failing to design problem, and it changes which solutions are even on the table.
- Break the silence before rumor fills it. If your people haven’t heard from you directly about how AI changes their roles, they’re filling the gap with worse information than you would ever give them. You don’t need perfect answers. You need to be in the conversation. “Here’s what we know, here’s what we don’t, and here’s how we’ll figure it out together,” beats polished silence every time.
- Train leaders the way athletes train. Elite performers don’t improve by maximizing hours. They push, recover, and recalibrate deliberately. Yet we still measure leaders on availability and output. Start measuring decision quality and recovery instead. The leader who is never off is not your most committed leader, and she may be your next departure.
- Give human skills the rigor you give technology. Judgment, trust, resilience, and creativity are what we’ve called soft skills for decades, usually while funding them last. They are now the differentiator, and developing them deserves the same investment, measurement, and executive attention as any AI rollout.
How to lead while remaining human
I think often about that room of leaders, each convinced they were the only one struggling. What they needed was someone to say out loud that the job, as designed, asks people to hold opposing demands indefinitely, and that naming the design flaw is the first step to fixing it.
The leaders who last through this era will treat contradiction fatigue as a signal and will have the courage to redesign the system that generates it rather than ask their best people to carry it quietly.
Reena Patel is the Global Managing Partner and Practice Leader at DSG Global Consulting.
This article was originally published by Fast Company Executive Board on August 14, 2026, and has been republished here with permission. All rights reserved by Fast Company. Unauthorized reproduction or distribution of this material is prohibited without prior written consent from the original publisher.
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