The real test of executive education isn't what leaders learn in the classroom. It's what they do differently when they return to work.

Over the past 15 years, I've worked with thousands of executives across more than 60 of the world's largest companies. Many have been through classic executive education programs. A beautiful campus, brilliant professors, thought-provoking case studies. They return inspired, with new frameworks, fresh perspectives and a certificate.

But then everyday work takes over. Competing priorities, endless meetings and the pressure to deliver results. The ideas get pushed aside, and little changes in practice.

In the last two years, one thing has become very clear to me: you cannot learn to lead change and AI from the back row. You have to do it, in your own work, with your own team, while it matters.

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AI breaks the old model

Executive education was built for a world where knowledge was scarce and strategy changed slowly. You went somewhere to get the frameworks, then applied them for years.

AI flips both assumptions. The knowledge is everywhere, and the ground moves every quarter. What leaders lack is not information about AI. It is experience of working with it, and the confidence to redesign how their teams work.

The numbers show the gap. 83% of CEOs say AI success depends more on people's adoption than on the technology. Yet 47% of mid-level managers and individual contributors report a negative effect from AI. Companies keep investing in strategy and tools, and treat people change as an afterthought.

I see the result in almost every organisation we work with. One partner rolled out Copilot to 100,000 employees. Training completion was high, but everyday use lagged. People had the tools, but no time, no habit and no clear use case.

That is the real problem leadership programs have to solve now. Not, "Do our leaders understand AI?" but, "Do our leaders lead with it on Monday morning to create value for our customers?"

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Five ways a DO programme feels different

When leaders come out of one of our hands-on leadership programs, the first thing they usually say is, "This was not what I expected." Here is why.

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1. You bring your work, not a case study. You work on real challenges from your own job, alongside peers facing similar problems. We tailor each DO program to the challenges you face, so every session produces something you can put to use immediately: a better prompt, a reusable workflow, a new team practice or a sharper recommendation. Application, not theory.

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2. AI is in the room, not on the slides. We do not open with a product walkthrough. We open with a live leadership challenge, solved with AI in front of everyone. That is where the, "I didn't know it could do that" moment happens. And it creates something just as important: permission to feel uncertain, ask basic questions, and stay human.

3. Practitioners, not only professors. Our leaders learn from DO facilitators as well as the people who are doing this right now: heads of AI factories, chief digital officers, founders of AI companies, drawn from a network of more than 2,500 experts. They do not share the polished version. They share what broke, what they stopped, and how they got their teams on board.

4. A journey, not a week. A great off-site creates energy, but energy without follow-through fades by Thursday. Our programs run over weeks and months. Each leader makes a commitment, shared with their line manager. Peer groups of leaders across functions keep each other honest. Short nudges and an AI coaching agent support them between sessions, at the moment they need to think something through.

5. Capability that stays. Traditional executive education sends a few high potentials away and hopes they spread the word. We design programs for every leader, with no pilot cohort and no waiting list. The best graduates become internal AI coaches and pioneers, who run the next wave themselves. When we leave the room, the capability stays.

And we measure what matters. Not completion rates or how much people enjoyed the coffee, but whether AI usage and leadership behaviour actually changed, before and after.

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This is not a case against business schools

Classic executive education still does some things very well. It gives leaders time to step back, a rigorous grounding in strategy and finance, and a network outside their own company. I value all of that.

But it was designed to transfer knowledge. Leading AI transformation requires leaders to put that knowledge into practice, build confidence through experience and bring their teams along. These capabilities develop through real work, not in isolation from it.

The question for HR and L&D leaders is simple: is your leadership budget buying inspiration, or behaviour change?

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Learn it by doing it

At The DO, our name is our method. Dream, Focus, Plan, DO. The last step is the one that matters most, and the one most programs skip.

The leaders who will thrive in the next five years are not the ones with the best AI certificate. They are the ones who have already redesigned one workflow, led one hard conversation about AI with their team, and learned from what went wrong.

So here is my question to you: what is the one thing your leaders tried with AI last month, not just learned about?

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Put leadership development to work

If you're rethinking how to develop your leaders for the age of AI, let's talk. At The DO, we help organisations turn leadership development into real behaviour change, with programs built around the challenges your leaders face every day.

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