There is a version of learning that looks like learning but isn't.
It has a completion rate. A dashboard. A certificate that arrives by email and lives in a folder nobody opens. It can be reported upward, which is the point. It happened. It was measured. It ticked the box.
And then the world changes again, faster than the certificate aged, and the people who "completed" the training are exactly as equipped as they were before. Just slightly more cynical about training.
This is not a technology problem. And it never was.
Curiosity is what makes learning self-sustaining.
The appetite to try something before you know if or how it'll work. To get your hands on experimenting. To share what you found, not just what succeeded. To ask the question that slows the meeting down but moves the thinking forward. It's not a personality trait you either have or don't. It's a capacity. It grows with use. It shrinks with neglect. And most organisations, without meaning to, are very effectively shrinking it.
The irony is precise: at the exact moment human adaptability matters most, the conditions for building it are rarest.
AI is not arriving gradually. The people living inside it know this. The pace of change is not a metaphor or a conference theme. It is the actual texture of the working week now, for more people, in more roles, than anyone predicted two years ago. The skills that made someone excellent last year are being reshuffled. Not replaced, reshuffled. Which sounds gentler than it is.
What is most likely to survive that reshuffling is not the person who learned the most. But the person who stayed curious long enough to keep learning when the ground moved.
You cannot mandate that. You cannot train it into someone in a day and measure it with a survey. It grows in specific conditions: safety to experiment, structure that enables rather than restricts, a community of people figuring it out together rather than alone and quietly panicking.
Those conditions are a design choice. Most organisations are not making it.
The question worth sitting with is not whether your people are using AI. It's whether they are becoming the kind of people who will know what to do when the version of AI they learned is already obsolete.
That's a different question. It has a different answer.
And right now, most strategies don't get anywhere near it.