The paradox: as AI takes over execution, judgment and taste become the real differentiators

Module 3 · Lesson 3 of 5

There's a natural assumption that goes like this: if AI is doing the execution work, then there's less need for judgment and taste. Fewer decisions to make, less output to evaluate. The work becomes more routine, not less. The premium should shift toward technical expertise in working with AI systems, not toward the harder-to-develop qualities like judgment.

This assumption is exactly backwards. The opposite is actually true, and understanding why is crucial.

When judgment and taste were only needed by a small leadership layer—because most people were focused on execution—those qualities were scarce and valuable in those roles. But they were still invisible to most of the organization. Most knowledge workers didn't need to think much about judgment or taste; they needed to execute well and follow direction. As AI takes over more execution work, that equation flips. Judgment and taste become relevant across the organization, because everyone becomes a director of some kind, evaluating some kind of work, making calls about what's good enough and what isn't.