Why most executives miss the AI shift.

There is a persistent confusion in the minds of the executives I meet: they treat AI as a tool to adopt¹. That's why they always start in the same place: the vendor question, the license question, the technical scope. And that's why, three months later, nothing that actually matters has moved.

AI is an expansion of what a company can do. Until you look at it that way, you're doing accelerated office work, which has value, but secondary value.

The tool trap

When you ask your CIO or Head of Innovation "what should we do with AI?", you always get the same answer: a catalog of tools. That's fair, it's their job. But you just skipped the step that matters most.

The step that matters is rereading your business model through what AI makes possible. Which unit costs can collapse? Which services, previously out of reach, become profitable? Which links in your chain become optional? None of these questions have an answer in a tool catalog.

What to think through first

Before engaging AI, examine three things. Your business model: where value is created, where it's lost. Your data: what you already know, what you don't exploit. Your teams: their appetite, their resistances. The tool comes after. Always.

This takes a kind of strategic time that most executives don't give themselves², because the urgency and excitement of doing push them to skip this step. It's a costly mistake.

Next: my method