With AI, confidence rarely comes from knowing everything – it comes from having something solid to work from.
At department level, that tends to become clear quite quickly.
There is no shortage of information. New ideas appear constantly, and expectations continue to evolve. But having access to more information does not always translate into greater clarity, and it does not always build confidence.
Confidence is not just about what you know. It is about how you are making sense of what you know – what you trust, what you question, and how you decide what matters. Without that, it is easy to feel as though you are keeping up on the surface, while still working things out underneath.
That can create a subtle tension. Outwardly, things continue to move, but internally, clarity is still forming.
This is where leadership becomes more deliberate.
Not in trying to know everything, but in having a way to engage with what is emerging — something that allows you to make sense of new information, stay grounded in your own judgement, and move forward with a level of confidence that does not depend on certainty.
AI may be the current context, but the underlying leadership task is familiar.
Building clarity and confidence in an environment where both are still developing.
Which raises a useful question:
When you engage with AI, how clear do you feel about what your confidence is grounded in?
