Summary

Joe Reis argues against 'tokenmaxxing' — the compulsive drive to maximize AI tool usage at every moment — calling it fake productivity that produces shallow output. He advocates instead for 'brainmaxxing': stepping back from screens, doing deep cognitive work, and mastering fundamentals like reading, math, and communication. Drawing parallels to pre-Lean manufacturing's always-on fallacy, he contends that deep domain expertise, not AI throughput, is the real competitive moat.

Key Insight

Deep domain expertise and fundamental human skills are the real competitive moat in the AI era, not maximizing token consumption — brainmaxx, don't tokenmaxx.

Spicy Quotes (click to share)

• 7

  You can have an infinite number of AI agents acting as your employees, but if you're a terrible manager of the Michael Scott variety, you're just going to get out exactly what you put in.

• 8

  I could easily use Claude to churn out a shitty, superficial book on data modeling, but why do that? If I did that, Mixed Model Arts would've been out, people would hate it, and I'd be known as a slop-author.

• 6

  If you can't read, if you can't do math, if you can't communicate with people effectively, and if you can't sell and negotiate - those are the things that will make you obsolete.

• 7

  Anyone can ask Claude how to become a billionaire and build an app. The success rate is unsurprisingly low. Doing the things that agents can't do is how you win.

• 7

  John Maynard Keynes wrote Economic Possibilities for our Grandchildren in 1930, stating that by now, technology would have freed us up to work 15-hour weeks. Instead, people are working 15-hour days just to keep up with the machines that were supposed to do the toiling for us.

Tone

satirical