Tagged: thinking

An unexpected consequence of AI availability: the disappearance of natural stopping points in work and thinking.

AI is becoming part of how we build software. It helps us write code faster, explore ideas more quickly, and try things we wouldn't have attempted before. That's real progress. But using AI more is not the same as doing better work.

Lack of clarity causes teams to focus on wrong problems. Even strong execution produces poor outcomes when addressing symptoms rather than root causes.

What a case study about elevators taught me about the gap between understanding a problem and influencing its solution.