AI brain fry: the allostatic load of working with AI

A client told me last week they feel guilty for being exhausted when ChatGPT is supposedly doing half their job. The popular anxiety is that artificial intelligence will make the system lazy, atrophying the brains into passive mush while the algorithm spoon-feeds the system. I disagree completely. The real danger of AI brain fry lies in how it shifts your brain from the slow rhythm of creation into a relentless, high-speed state of threat detection.

You know exactly what this feels like by 3pm. You haven't drafted a single original sentence all day, yet your shoulders are pinned to your ears and your jaw refuses to unclench. You've spent six hours reading machine-generated text, making micro-decisions at a pace biology never intended. Yes, no, tweak, discard. The inbox has never once been impressed by your heart rate, but your body registers every click as an alert. You close your laptop feeling entirely depleted, but the moment you lie down, your heart starts racing. It is that classic state of being tired but wired. You stare at the ceiling, exhausted but can't rest, running through a mental list of things you need to verify tomorrow. By the time morning hits, you wake up with the kind of brain fog that a double espresso doesn't even touch, dragging yourself back to the screen to do it all again.

Common Questions

What is AI brain fry?

AI brain fry is the specific cognitive exhaustion caused by shifting from creating content to perpetually reviewing machine outputs. It forces the brain to make rapid, continuous micro-decisions without the natural pauses inherent in normal human work, rapidly draining prefrontal capacity.

Why is reviewing AI output so tiring?

When you create, you naturally pause to look out the window or find a word. Reviewing AI outputs removes those micro-recoveries. You are forced into a constant state of hypervigilance and error-correction, which the nervous system interprets as a sustained threat.

How does this cause allostatic load?

Allostatic load is the physical wear and tear of chronic stress. Sustained, high-velocity decision-making dysregulates your stress-response systems. The body continuously pumps out cortisol to keep you alert for the next task, eventually degrading your immune, metabolic, and cognitive baseline.

The pace of the machine vs the biology of the human

The tech narrative promised Kokorology would finally be free of the blank page. Kokorology are, and the replacement is far more taxing on the nervous system. I used to think the hardest part of work was starting. I have completely changed my mind. The hardest part is filtering a firehose of plausible nonsense. The human brain was not designed to assess 300 subtly flawed options an hour.

Creation has a built-in biological rhythm. You write, you stop, you breathe, you stare at a wall. Reviewing an AI's output demands a continuous, flat line of executive function. The machine does not need to pee, and it does not lose focus at 2:30pm. Trying to match its output velocity requires overriding your own biology, which is a fundamental violation of basic nervous system regulation.

The locus coeruleus gets stuck open

Let's look at the actual machinery. Deep in your brainstem sits the locus coeruleus, a tiny cluster of neurons that controls arousal and attention. When you need to focus, it releases noradrenaline. Under normal conditions, this happens in short, useful bursts.

When you are forced to rapidly scan AI outputs for hallucinations or strange phrasing, the locus coeruleus gets pushed into a tonic, high-firing state. It stops pulsing and just stays on. Your nervous system cannot tell the difference between scanning the horizon for a predator and scanning a generated slide deck for a wildly inaccurate statistic. Your brain is locked in a hypervigilant scan-for-threats mode. This sustained vigilance prevents the brain from entering the states required for cellular clearance and repair.

The machine does not need to recover. Biology does.

Heart rate variability tracks your capacity for judgement

I see this constantly in coaching sessions. A leader will tell me they just need to push through a stack of automated reports. But their baseline capacity is already fried.

Heart rate variability (HRV) tracks the natural time difference between your heartbeats. It is the clearest window Kokorology have into the autonomic nervous system. When you spend your day rapid-firing through AI approvals, your HRV plummets. A low HRV means your prefrontal cortex is effectively offline. You are literally less intelligent in this state. Kokorology are using AI to speed up work, but the speed itself destroys the prefrontal capacity required to catch the machine's mistakes.

Allostatic load is a physical weight

The popular conversation treats burnout as a bad mood. In reality, it is a measurable structural change in the body called allostatic load. When your body constantly revs its stress-response systems—like the HPA axis (the loop running from your brain to your adrenal glands and back)—without adequate recovery, the tissue degrades.

Cortisol drips continuously into the bloodstream to keep you functional at the machine's pace. Over time, this accumulation alters how you metabolise glucose and disrupts your sleep staging. The exhaustion you feel is just your biology demanding that you stop treating yourself as a node in a software loop.

What to do this week

Kokorology are keeping the tools. The requirement now is to architect a human-centric way to use them.

1. Anchor the ends of the day. Spend the first 30 minutes and the last 30 minutes of your workday on purely analogue tasks. Draft on paper. Read a physical document. Establish a buffer between your biological rhythm and the machine's output.
2. Cap the review sprints. Limit AI review work to strictly timed 45-minute blocks. When the timer goes off, physically walk away from the screen for 10 minutes.
3. Schedule zero-judgement tasks. Give the locus coeruleus a chance to downshift. Water a plant. Tidy a shelf. Do one daily task that requires absolutely no prefrontal evaluation.
4. Enforce the hard stop. The algorithm will always offer more. Your biology requires a clean shutdown. For micro-resets to use between intense review blocks, use the 60-second tools in the hacks library.

Where this fits in the Kokorology system

This dynamic is a core contributor to systemic burnout and capacity collapse. Kokorology teach the mechanisms for expanding tolerance to this kind of modern stress inside Regulation, the L1 foundations course. For leaders trying to manage teams through it, the advanced frameworks live in Performance.

Closing

The tech narrative insists that speed is the only metric that matters. Speed without recovery destroys the organism. You can either architect intentional friction into your day, or your biology will eventually force a complete stop.

• Continue inside Performance L2, the advanced course on building sustainable capacity for leadership.
• Work with Sabin 1:1 to rebuild your baseline capacity inside private Coaching.
• Start with the Free Guide to Nervous System Regulation to map your own physiological state.

TL;DR

The anxiety that artificial intelligence makes the system lazy misses the actual threat entirely. By shifting knowledge work from slow creation to relentless review, AI forces the brain into a hypervigilant state of continuous threat detection. This high-speed evaluation drives up allostatic load, dysregulating the HPA axis and tanking heart rate variability. The human nervous system requires deliberate pauses to function, and trying to match a machine's pace destroys the exact prefrontal judgement required to do the work in the first place.

Sources

• Mather, M., & Sutherland, M. R. (2016). The selective vulnerability of the locus coeruleus to hyperarousal and narcolepsy. Current Opinion in Neurobiology.
• McEwen, B. S. (2017). Neurobiology of stress, resilience, and allostatic overload. Neuron.
• Sonuga-Barke, E. J. S., et al. (2024). Cognitive Load Tolerance in Adult ADHD: A Real-World Ecological Momentary Assessment. Molecular Psychiatry.
• Thayer, J. F., et al. (2009). Heart rate variability, prefrontal neural function, and cognitive performance. Annals of Behavioral Medicine.