Six months in, the biggest blocker to AI adoption I see isn't technical. It's that nobody wants to be the person who reported the problem.

Short observation from working with a few companies this year. When AI gets introduced after a round of layoffs, or alongside any talk about efficiency, people stop reporting when the tools fail. Flagging a problem with the AI feels like you're arguing for your own job, and nobody wants to look like that. So the feedback loop dies. The deployment degrades quietly. Six months later leadership concludes AI didn't work for them. The technology was fine. The organization made it impossible to find out what was wrong with it. I don't have a clean fix for this. Separating the AI conversation from the headcount conversation helps, but if the layoffs already happened the damage is done.