Point of view.
No hedging.

The headline is the one everyone will repost: 96% of IT pros now use AI. Here is the number nobody is talking about: only 49% use it frequently. That gap, and the 10-hour weekly AI tax hiding in your capacity plan, is your real problem.

A Wharton study should stop every technical leader cold. When AI gives a wrong answer confidently, people accept it 60% of the time. The accuracy gap between a right AI and a wrong AI was 44 percentage points. That's not augmentation. That's cognitive surrender.

Experience is supposed to be the asset. At a certain point, it becomes the liability. Here's how to tell which one you're carrying.

Velocity is not progress. It is often waste at scale. A fast team pointed at the wrong problems isn't just unproductive – it's a liability. Here is where the trap starts, and what fixing it actually requires.

Product hands dev a requirements doc. Dev builds to spec. Product says "that's not what we meant." That moment – small, frequent, almost invisible – is the central problem in most software companies.