What if learning more AI tools is the worst way to prepare for the AI era?

AI was supposed to save us time. But for many people, it has created a second job: checking outputs, fixing mistakes, comparing tools, re-rolling prompts, and trying not to fall behind.

In this episode, I look at new research from BCG/HBR and Google DORA on AI burnout, mental fatigue, and the hidden cost of “productivity.” I also share my own experience of chasing models, workflows, and updates until it started to feel less like leverage — and more like brain fry.

The real question is not which AI tool you should learn next. It is whether you are building the judgment, taste, and domain expertise that still matter when the tool changes.

In this episode

- Why AI can make you busier, not freer

- How “AI brain fry” shows up in real work

- Why too many tools can become a productivity trap

- Why creative work gets stuck in endless re-rolling

- What kind of AI use is actually worth your time

If this episode made you feel slightly less insane about AI burnout, come back to the article for the studies, charts, and links:

https://www.2ndorderthinkers.com/p/once-i-understood-where-ai-is-heading

And if you want sharper, less-hyped analysis of AI and work, subscribe to 2nd Order Thinkers — paid subscribers make this kind of research possible!

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