The Productivity Lie
For years, leaders have lived in a state of constant context-switching. You know the feeling — you're drafting an email, then you check Slack, then you jump on a call, and before you know it, your morning has dissolved into a series of micro-decisions that add up to nothing.
AI added a new layer on top of all that. Now you're not just doing your job — you're monitoring AI doing your job, correcting its output, deciding what it should and shouldn't do. You're continually pivoting between three modes of work, often simultaneously. One minute you're thinking strategically about a client relationship. The next, you're proofreading an AI-generated report that's 90% right but wrong in the one place it matters. Then you're back to your actual work, trying to re-enter a frame of mind that's already been fractured.
Rather than productivity, this is cognitive exhaustion masquerading as efficiency. And the worst part? You can't even point to a specific thing that's making you tired. It's the whole damn system.
The Rewired Realization
Over a decade ago, Camille Preston wrote Rewired about our always-on, overwired world. She thought she understood the costs — the way email and smartphones were eroding boundaries between work and life. The constant ping of notifications. The expectation that you're available at 10pm just as much as at 10am. She wrote about it, she lived it, and she thought: I've seen this before.
But then AI changed the game again.
Like many clients, she felt AI moving closer to her business. The demands, pressure, and urgency mounted. AI's ability to help you do more, faster, and better is seductively tempting — genuinely so. For a while, she ran harder and consumed more, all the while trying to adapt and recalibrate. The tools promised efficiency. What she experienced was a new exhaustion: the kind that a good night's sleep can't touch.
This is the crucial distinction Preston makes: we've been here before with always-on technology. But AI isn't just another connectivity tool. It's a new cognitive layer that demands not just use, but constant supervision. The exhaustion of the always-on era was about interruption — someone else's urgency invading your time. The exhaustion of the AI era is about oversight. You're watching a machine do your job badly enough that you can't let it go, but well enough that firing it feels wasteful. That liminal space — not trusting it fully, not using it fully — is where the real cost lives.
What the Research Actually Shows
In March 2026, researchers at BCG published findings confirming what many of us feel in our bones: the mental fatigue isn't from using AI. It's from supervising it.
Workers with high AI oversight loads reported 14% more mental effort, 12% more mental fatigue, and 19% more information overload than workers who actually delegated to AI. Think about that last number — 19% more information overload. That's not a rounding error. That's the difference between feeling sharp at 3pm and feeling like your brain is full of static.
And here's something most people don't realize: productivity peaks at one to three AI tools. Add a fourth, and it drops. We've all been there — the temptation to layer on another tool because you're convinced it'll solve the problem the others didn't. But more tools means more oversight, which means more cognitive load, which means less actual output. The irony is almost cruel: the very thing we adopt to be more productive ends up making us less productive.
The research doesn't just confirm what we feel. It foreshadows something even more grim.
The Neurological Cost of Constant Oversight
Every context shift forces your brain to shut down one framework and rebuild another. It consumes mental resources and elevates cortisol. Add constant AI monitoring to the mix, and you're asking your brain to do something it wasn't designed to sustain.
Neuroscientist Amy Arnsten is an expert on the prefrontal cortex — the part of your brain responsible for planning, judgment, impulse control, and strategic decision-making. The part essential to leading. Her finding is stark: chronic stress weakens the prefrontal cortex. Under sustained pressure, your brain isn't just tired — it's structurally different.
You are being asked to make more complex decisions faster, with less certainty, and to use tools that require constant oversight. Meanwhile, your nervous system is already running on cortisol rather than genuine energy. Chronic stress erodes the leadership capacities that built your success: discernment, pattern recognition, and judgment amid ambiguity.
You cannot think clearly when your brain is fried. We know this. And yet we keep asking for it.
Organizations doubling down on AI without addressing this are reporting 39% more major errors and 33% more decision fatigue. This is a business problem, not a wellness issue. When your leaders' brains are physically compromised by the very tools meant to make them sharper, you don't have a productivity problem — you have an organizational design failure.
The FOBO Paradox
Underneath all of this is a new dread: "If I unplug, I'll fall behind. If I don't master the next tool, I'll become obsolete. If I rest, someone else will surpass me."
FOBO — fear of being obsolete — is producing the very condition that leaves you behind. It's a paradox wrapped in anxiety and served with a side of urgency. The more you fear falling behind, the faster you run. And the faster you run, the worse your thinking becomes. Which means the worse your decisions become. Which means you're actually falling behind faster.
Leaders who can unplug will return with clarity. They make better judgments that compound over time. Running faster, you might make more decisions, but quality deteriorates. Fear of falling behind is actually falling behind faster.
Only 20% of employees globally are engaged at work (Gallup, 2026). Stress, anger, and sadness remain high. Companies report that 79% of employees don't trust the organizational changes, including AI rollouts, that their leaders are implementing. And only 32% of leaders report achieving healthy adoption of major transitions. As one researcher put it plainly: "AI is not entering healthy systems. It is entering exhausted ones."
That last line should keep you up at night — not because it's alarming, but because it's accurate.
What This Asks of Leaders Now
It's a systems problem, not a wellness problem. Engage at each level.
Individual
Protect what AI cannot do. Strategic discernment. Pattern recognition. Judgment that requires you to sit in tension and complexity. Unplug long enough to re-engage your prefrontal cortex. Notice where you've outsourced thinking. Your decisions matter too much for them to be made by a fried brain.
Team
Make decision rights visible. Establish what gets delegated to AI and what doesn't. Build cadences that include time for thinking. Protect conversations that require your actual presence. Your team is watching to see whether unplugging reads as discipline or weakness.
Organization
Treat recovery as infrastructure, not a perk. Invest in psychological safety before the next AI rollout, not after. Develop your leaders for discernment alongside technical fluency. Build a culture where stepping back to think is seen as leadership, not laziness.
The data is decisive. Companies that invest in human capability before deploying AI see 2.8x higher ROI (Deloitte). Organizations with psychological safety are five times more likely to successfully scale AI (Microsoft). And 70 to 85% of AI transformations fail, not because the technology didn't work, but because the human systems weren't ready (McKinsey, Gartner, Kyndryl).
Better leadership doesn't come from faster decisions. It comes from clearer thinking. Clear thinking requires a brain that isn't fried.