AI implementation keeps stalling in mid-size organizations, not due to tech

For many organizations, AI adoption looks great on paper. But beyond that, it just kind of fizzles.

John Munsell explained this as: you need 3 things moving together at the same pace:

1. How much efficiency people are actually gaining day to day.

2. How complex the systems and workflows getting built are.

3. Governance- the rules and oversight that keep things from spiraling.

Miss the sync and you get problems either way. Teams build fast and sophisticated stuff with no guardrails, and now you've got risk everywhere. Or governance gets locked down before adoption even has legs, and people just stop bothering because it's too much friction.

The part that stuck with me most though was his point about people, not process. Most employees already assume AI means their job is next on the chopping block. That fear is sitting there before a single tool even gets rolled out. Add that to normal change resistance, and you have a trust problem, not a tech one.

John's framing of what "winning" actually looks like is different too (people feeling more capable and useful because they've seen firsthand what the tools can actually do for them).

He calls it protecting the soul of the company. Companies that skip that part can hit every efficiency number on the dashboard and still end up with a culture that's quietly falling apart.

Worth a full listen if you're in the middle of this right now. Watch the full episode of the Networking Unleashed podcast here: https://youtu.be/t6VWUAtr58w?si=yo3WJ1IvMIbpkyvE