10/20/2026
I got into an argument about change management nearly 20 years ago that I apparently never got over.
The argument was pretty simple: give people the right technology and they'll figure out how to use it.
I disagreed.
At the time, I couldn't completely articulate why. After years of watching organizations go through digital transformation, restructures, strategy shifts, and now AI, I can.
Organizations aren't machines.
They're living systems made up of people.
And people remember.
They remember the last initiative that disappeared six months later. The reorganization that cost someone their job. The time they took a risk and got burned.
All of that history walks into the room with every new change.
It's why I'm fascinated by what chaos theory can teach us about leadership. In complex systems, small actions can create surprisingly large consequences, and prediction becomes less useful than recognizing patterns.
Maybe we need to spend less time trying to control change and more time understanding the conditions in which we're asking people to change.
I explored that idea here:
Years ago, I spent hours in an online forum with a group of smart, opinionated people trying to figure out what Enterprise 2.0 meant for the future of work.