What AI is really asking of leaders

Last week I shared a few positive reflections on how AI is helping leaders be better for their people and their business. This week, the other side of the coin.

These aren't doom-laden headlines about an impending dystopia. They are practical implications I'm seeing in boardrooms and senior leadership communities right now.

1. Don't outsource your judgement.

AI is brilliant, fast and occasionally confidently wrong. It will hand you data that looks authoritative and a recommendation that sounds certain. Your job is to mine for meaning. Ask where the answer came from. Ask what it's missing. The leaders who get caught out are the ones who forget the imperfections and limitations of their AI colleague.

2. Lead the change yourself.

AI integration isn't an IT project. It's one of the biggest organisation-wide changes most businesses will ever go through. It touches strategy, culture, structures and customers. Handing it to the Head of IT and hoping for the best is a decision any business will regret. If it matters this much, it needs every leader's fingerprints on it.

3. Talk to your people before the doom rumours take hold.

Your people are worried about what AI means for their jobs, although most won't say so. In the absence of certainty, they'll create the worst version of the story. So start the conversation with them about AI. You won't have all the answers, but "here's what I know, here's what I don't yet, and here's what I'll tell you as soon as I can" goes a very long way.

4. Rethink how you grow your future leaders.

This is the one that challenges and excites me most. Most of the leaders we develop, rightly or wrongly, are high-performing subject matter experts. If AI takes on much of the routine work that used to turn people into experts, where do your future leaders come from? Succession is already a problem in most organisations. Over the next ten years, it's going to become significantly more complex, or significantly less complex. Nobody knows which yet.

5. Get your own hands dirty.

I've worked with exec teams whose entire personal experience of AI is the occasional dip into Copilot. You can't lead people through something you don't understand yourself. Block regular time to genuinely use it, and try more than one model. Each feels different, and knowing their strengths is part of the skill. Your future credibility depends on it.

Which of these implications resonates or excites you most?