Brain fry and the automation trap

When Using AI Leads to “Brain Fry”:

We found that the phenomenon described in these posts—cognitive exhaustion from intensive oversight of AI agents—is both real and significant. We call it “AI brain fry,” which we define as mental fatigue from excessive use or oversight of AI tools beyond one’s cognitive capacity. Participants described a “buzzing” feeling or a mental fog with difficulty focusing, slower decision-making, and headaches. This AI-associated mental strain carries significant costs in the form of increased employee errors, decision fatigue, and intention to quit.

I believe this will be another example for the automation trap. While these agentic systems are great at automating some of the tedious work away, they also great at automating easy decisions, leaving only the hard ones for the human part of the centaur.

Also tools like Claude make it very easy to work on multiple things parallel, making the hard part taking even more energy (Pablo Stanley’s Fried writes about this).

So how to manage this?

• Take a step back. Making decisions and orchestrating agents (or directing orchestration agents) is highly creative work, you not only need to take a step back to get new ideas, but also to let your brain breathe a bit.
• Embrace the new design process: sketch → agentic prototype → define details (doc, Figma, other tools). While sketching and writing also take brain power, they add a good mix of microtasks with various levels of cognitive costs.
• Mindful time planning. The old rule of thumb of max 5-6 hours of deep work per day is still very much true, even if agents can do more. Plan ahead what you want to get done over the day and week, and allow yourself to close your Claude Code terminal once those are done.

While speed always remains a concern, in the end distance wins the race.