It's Easter. I'm Taking a Break. And It Feels Strangely Right.

8 Weeks at Full Speed — and Then Easter

It wasn't any particular morning that forced me to pause. There was no drama, no breakdown, no crisis scene. It was an Easter morning — and I simply noticed that I had no desire to open Claude.

That sounds trivial. But for someone who had opened their laptop at 6:30 AM every morning for the past 8 weeks and started a new conversation thread first thing, it was a signal. A loud one.

What does it actually mean to work with AI at full capacity for 8 weeks? It's not about a few prompts a day. "Claude never stopped" meant literally: processes ran overnight. Automations that pulled data, analyzed it, sorted it and turned it into reports. By morning the results were ready — and while I read them, the next processes started. There was no moment of stillness. No incubation phase. No natural end to a work unit.

The acceleration is real and seductive. In those 8 weeks I had ideas that I couldn't have implemented in months without AI. I built tools, set up systems, created content, ran analyses — at a speed that would have felt unthinkable before. The feeling was intoxicating. Almost like a rush.

That's exactly the problem.

Traditional work has natural braking moments: you've finished a task, it's complete, the next step lies with a colleague or client. You wait. You think. You drink a coffee. With AI, those braking moments no longer exist. The AI delivers immediately. And enthusiasm drives you to immediately ask the next question. A productivity feedback loop emerges that accelerates itself — and that barely knows any natural exit points.

AI Brain Fry — the New Phenomenon of Intensive AI Work

Harvard Business Review described in March 2026 what many AI-intensive knowledge workers have long known in private conversations but rarely name publicly: intensive work with AI creates a new, specific form of cognitive exhaustion. Not because the work is harder. But because it's cognitively structured differently.

Classic knowledge work demands deep, focused thinking. You work on a problem, with phases of concentration and phases of letting go. AI-intensive work, by contrast, demands a constant medium attention across a broad surface. You're never deeply immersed in a single problem — you're constantly coordinating many parallel processes. Prompt for one thing, evaluate the result, prompt for the next, provide context, correct, synthesize.

This meta-layer of AI management is what's decisive. An AI founder put it in HBR so precisely that it immediately felt familiar: he ends every day exhausted — not from the work itself, but from managing the work. That hits it exactly. AI takes execution off your hands, but not responsibility. You have to evaluate every output, recognize every error, provide every context. That's cognitively more demanding than the execution often would have been.

Added to this is the paradox of enthusiasm-driven exhaustion. We know burnout from negative stress — from pressure, overwhelm, lack of control. But exhaustion from too much positive energy and enthusiasm? That's counterintuitive and is therefore rarely recognized. When you're exhausted because the work is bad, you know what to do. When you're exhausted because the work is fascinating and you can't stop — you often lack the impulse to rest.

I know this feeling exactly. The last 8 weeks weren't stressful in the classical sense. There was no external pressure, no deadline chasing me. It was pure, intrinsic drivenness from the fascination of what's possible. And that's exactly what made me tired.

The Stock Market Analogy: Corrections Are Healthy

When I became conscious of this exhaustion, an image came to me spontaneously: the stock market. Not because I'm a financial pessimist. But because the dynamics fit so precisely.

Markets rise. Sometimes very steeply. In bull phases everyone believes the ascent could continue forever — and for a short time it almost seems true. But markets that never correct become increasingly fragile. Each further overvaluation makes the inevitable collapse deeper and more painful. A healthy correction is not a defeat — it's a clearing that enables the next rise.

What happens when a curve never corrects? Bubbles form. And bubbles burst. Not in a controlled way, not dosed — they collapse. The difference between a 10% correction after upward-driven overheating and a 40% crash after an uncontrolled bubble is fundamental. The same applies to human productivity curves.

A leader who works at peak performance for 8 weeks without pause and then doesn't build in a conscious correction doesn't just risk a bad day. He risks a crash. Exhaustion that doesn't resolve itself with one night's sleep, but with weeks of forced inactivity. Illness that shuts down the body when the mind didn't. The forced correction is always more expensive than the voluntary one.

The good thing about the stock market analogy is also its consoling dimension: corrections are part of the game. They don't mean something is fundamentally wrong. On the contrary — a market that corrects shows that it breathes. That it's alive. That it self-regulates. My Easter break was not a capitulation. It was a healthy correction after a steep climb.

Rest as a Leadership Strategy — Not as Weakness

There is a cultural problem in the leadership world: rest is perceived as an absence of performance. As a break from work. As a gap in activity. This is a fundamental miscalibration — and in the AI age it becomes even more dangerous.

Let's look at the world of elite sport. The world's best athletes periodize. They have intensity phases where they push to absolute limits — and they have planned recovery phases that are just as carefully structured as the training itself. No elite athlete would train at competition intensity every day for 8 weeks and expect to be better afterward. On the contrary: overtrained athletes are slower, more injury-prone and show cognitively worse decisions.

Sports science knows the concept of supercompensation: only when a sufficient recovery phase follows a training stimulus does the body adapt and grow stronger. If the next stimulus comes too early — before regeneration is complete — what solidifies is not strength, but exhaustion. The same applies to cognitive performance and leadership work.

For leaders, rest has a second, decisive dimension: modeling behavior. If you as a leader never rest, you send an unmistakable signal to your team: rest is not permitted. Those who rest rust. Performance is constant activity. Your team will — consciously or unconsciously — adapt this pattern. And collective AI exhaustion in a team is a multiplier problem.

Practical Rituals for Intentional Rest

Rest doesn't simply mean "not working". Active recovery is different from passive inactivity. Here are concrete rituals that help me:

This Easter break wasn't planned. It came because body and mind together sent a signal I couldn't ignore. Next time I'll plan the break — before it's forced. That's the difference between voluntary correction and crash.

Frequently Asked Questions on AI Fatigue and Resilience