For most of working life, expertise has been the currency. You accumulated knowledge, it became scarce and valuable, and your career was built on it. AI is quietly devaluing that currency. When a model can recall more facts than any specialist and the tools change every few months, the premium shifts from what you know to how fast you can learn. Call it learning velocity.
This is not a soft observation. The World Economic Forum's 2025 research names curiosity, lifelong learning, flexibility and agility among the fastest-rising skills of the decade, precisely because the technical half-life of knowledge is shrinking. The person who learns quickly is no longer just a good hire. They are a hedge against an unpredictable future.
Velocity is a capability, not a personality
It is tempting to treat learning speed as a fixed trait, something some people simply have. The evidence points the other way. Learning velocity is a capability that can be developed, and it rests on a small set of habits: a genuine willingness to be a beginner, the discipline to reflect on what worked and what did not, and an environment where it is safe to try something and fail.
That last condition is the one leaders most often overlook. People do not experiment when experimentation is punished. If every misstep with a new tool is treated as incompetence, your most capable people will quietly stop learning in public, and your organisation's learning velocity will collapse, even as everyone insists they value growth.
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Growth Performance designs bespoke programmes that turn insight into measurable behaviour change.
The expertise trap
There is a particular risk for experienced people. Deep expertise can become a reason not to learn, an identity to defend rather than a foundation to build on. The research on AI and knowledge work keeps finding the same pattern: those who gain least from new tools are often the most experienced, partly because they have the most invested in the old way of working. Expertise is valuable, but expertise that refuses to keep learning becomes a liability faster than it used to.
What this means for leaders
Hiring and developing for learning velocity means valuing trajectory over current knowledge. It means asking, in interviews and reviews, not only what someone knows but how they learned it and how recently. And it means modelling it from the top: leaders who visibly learn in public give everyone else permission to do the same.
Try this
In your next one to one, ask each person what they have learned in the last month and what they are deliberately trying to get better at. The quality and specificity of the answers will tell you, quickly, how much real learning velocity your team has, and where you need to build it.
To measure how readily you and your team adapt to change, try the Learning Agility assessment.