I think AI is the most consequential thing happening in technology right now — and that most of what gets said about it is wrong in both directions. That gap is what I find interesting: not the version from the stage at conferences, but the practical, day-to-day reality of what actually shifts starting now.

I come at that from two directions. One is commercial: what AI does to how B2B teams sell, qualify and decide. The other is Physical AI — what happens when the models move off the screen and into cars, robots and machines that have to be safe as well as clever.

The shift isn't about tools. It's about workflow and people. Teams that redesign how they work around AI will outperform the ones that just add AI on top of the old way. The gap between those two groups is already opening up.. and it will not close.

I've spent the last couple of years studying this closely — what the leading teams are actually doing, where the real productivity gains show up, and what separates genuine transformation from expensive experimentation. Some of it I've built myself, mostly to find out where the limits actually are.

Some of what I've learned and created, I will share with you here.