You’ve launched the AI pilots. You’ve rolled out copilots and chatbots. You’ve invested in licenses, training, and dashboards. And yet, the results aren’t showing up the way you expected.

That’s the challenge of AI change management. Communications and training are essential, but without new ways of working, AI stalls at surface-level adoption.

We’ve been here before. In the early 1900s, when factories first electrified, managers simply swapped their steam engines for electric motors and waited for the breakthrough. Nothing happened. Click here to read the full-text article