07/08/2026
Good piece on human elements of AI adoption and implementation, excerpt and link.
“…AI behaves like secure attachment. It’s available when you need it. It doesn’t punish you for asking a bad question. It doesn’t sigh when you circle back to something you already covered. It doesn’t have a mood. It doesn’t remember that you were short with it last Tuesday. For people who’ve spent years in environments where asking for help was a liability, where showing uncertainty meant losing ground, where the wrong question in the wrong meeting cost you something — AI feels like relief. They expand. They experiment. They come back.
For people who’ve learned to perform certainty, to protect their expertise as a form of status, to stay in control of what others see — AI is destabilizing. Every interaction is a small exposure. Every prompt is a record of what they didn’t know. They contract. They use it minimally. They find reasons it doesn’t quite work for their role.
Same tool. Completely opposite responses. The answer isn’t in the tool.
We brought this with us.
The relational dynamics underneath uneven AI adoption — the fear, the performance, the hunger for safety, the protection of status — none of that arrived with the software. It was already running in your team. In your meetings. In who speaks up and who doesn’t. In who asks for help and who disappears when they’re stuck. It just gave those patterns a new surface to show up on.
And that’s the part that’s hard to sit with. Because if the problem is emotional reality, not technology, then another rollout won’t fix it. A better prompt library won’t fix it. The gap you’re watching isn’t a capability gap.
Psychological safety. Permission to not know. Room to experiment. Trust that failure won’t cost them their standing. These aren’t soft skills. They’re the actual infrastructure your team runs on. AI just made the infrastructure visible.”
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