AI isn't just for your teams. It's for you.

There's a pattern I keep seeing in pharma leadership workshops.

A senior leader — therapy area head, country lead, medical director — arrives genuinely curious. They've read the articles. They've seen the demos. They believe AI matters. They want their organization to get ahead of it.

Then the workshop starts, and within twenty minutes they're thinking about who on their team should be doing this.

Not out of disengagement. Out of habit. Leaders solve problems by deploying people. It's how they got to where they are. AI looks like a capability gap, and capability gaps get filled by hiring, training, or delegating.

The problem is that this particular gap doesn't close that way.

Why this one doesn't delegate

AI literacy in your teams is necessary. It's not sufficient.

The organizations where AI actually changes how decisions get made are the ones where leaders use it themselves — not to do their teams' work, but to do the part of leadership that was always hardest to get help with: thinking through the hard stuff before you walk into the room.

That's not something you can delegate. And it turns out AI is surprisingly good at it.

AI as a thinking partner, not a task executor

The most useful thing I've found AI to be, as a leader, isn't automation. It's a sparring partner that's available at 11pm, never gets defensive, and will push back on your reasoning if you ask it to.

Consider what that means practically:

You're preparing for a difficult conversation with a key account. Instead of rehearsing it alone, you work through it with an AI that plays the other side — probing your assumptions, surfacing the objections you haven't prepared for, helping you find the framing that lands.

You're trying to build alignment around a strategic direction that not everyone on your leadership team bought into. You use AI to stress-test your argument before you walk into the room — not to make it slicker, but to make it more honest.

You're navigating a complex stakeholder situation with no clean answer. You use AI not to give you the answer, but to help you see the shape of the problem more clearly.

None of this is about efficiency. It's about quality of thinking.

The credibility question

There's another reason leaders should engage with AI directly, and it's less comfortable to say out loud: you can't credibly lead an AI transformation you don't personally understand.

Not at the technical level — nobody expects that. But at the level of knowing what it feels like to use it, where it helps and where it misleads, what questions to ask and what outputs to distrust. That judgment only comes from use.

When leaders delegate AI entirely, they often end up either over-relying on AI-generated work they can't evaluate, or dismissing it based on early bad experiences they never worked through. Neither is a good position to be in as these tools become more embedded in how your organization operates.

What this looks like in practice

The leaders I've seen get the most from AI aren't the ones who became power users. They're the ones who found two or three specific moments in their working week where AI genuinely improved their thinking — and kept coming back to those.

A 20-minute strategic prep session before a difficult meeting. A quick challenge round on a recommendation before it goes to the regional team. A reflective conversation at the end of a week where something didn't go as planned.

Small habits, consistently applied, in service of better decisions. That's it.

The technology is not the hard part. The hard part is deciding that your own thinking is worth investing in — and that AI might actually help with that.

*Jason Hill is Lead for Strategy & AI at Vertical. He designs and delivers AI capability programs for pharmaceutical companies across Europe.*