The job of a good MBA programme has always been to develop leaders with the humility to keep learning, the courage to act without false certainty and the judgement to marshal resources in service of something worth doing. That does not change with the advent of AI, but how we do it does.
Every generation of leaders meets a moment when the future arrives before the rulebook. AI is one of those moments.
“There is no blueprint for combining human and machine intelligence inside an organisation, and anyone claiming to have one is probably trying to sell you something,” says Jon Foster-Pedley, Associate Pro Vice-Chancellor of the University of Reading (Global Engagement, Sub-Saharan Africa) and Dean of Henley Business School Africa.
Foster-Pedley, like deans and thinkers across the world, is wrestling with the question of what next. How does an MBA built for a world in which management largely meant co-ordinating human effort change now that leaders will need to be co-ordinating intelligence itself: some human, some machine, and all of it requiring direction, judgement and accountability?
“That uncertainty is not an excuse for business schools to wait. It is the reason we must change,” says Foster-Pedley. He argues that the kind of hybrid leadership needed for the future is not a technical specialism to be delegated to the IT department. Nor is it simply the ability to use a chatbot efficiently. It is the capacity to bring human and machine capabilities together without surrendering the qualities that make leadership human: moral courage, responsibility, imagination, empathy and the willingness to decide what is worth doing in the first place.
This means that MBA programmes have to evolve from repositories of settled knowledge into laboratories for responsible action; the classroom needs to become a place where leaders test tools, interrogate assumptions, build real use cases and examine the consequences; and governance frameworks need to be developed, then improved as the evidence changes.
At Henley Business School Africa, these conversations are happening in five key areas.
Change 1: Teach AI fluency
The first change in the MBA is obvious: leaders need genuine AI fluency, enabling them to draft, analyse, challenge an argument, reveal patterns and open doors they did not know were there.
“Fluency comes from practice, curiosity and enough technical understanding to know both the power and the limits of the instrument,” says Foster-Pedley. “The educational goal cannot be to let AI do our thinking for us. Used well, it makes us think harder. Used badly, it quietly weakens the very muscles leaders will need most.
“An MBA in the AI era should reward the quality of the question, the rigour of verification and the ability to challenge a plausible answer, not merely the speed or polish of the output.”
Change 2: Move beyond efficiency
The efficiency that AI promises is seductive because it provides quick wins, measurable savings and reassuring dashboards. But it only helps us do today’s business better. It does not necessarily help us find tomorrow’s, argues Foster-Pedley.
“The question we need to be asking is not ‘How can AI cut our costs?’ but ‘What becomes possible now that AI exists?’ That question can lead to a different product, service, market or business model. It is harder, less certain, and far more demanding of imagination. It is also where growth is likely to be found.
“This is why the MBA curriculum needs to move beyond getting participants to understand and apply tools towards innovation and creating measurable organisational value.”
Change 3: Ethics and governance must take centre stage
In the age of AI, ethics and governance can no longer sit at the edge of the MBA curriculum. “AI gives leaders greater capability, but capability is not the same as permission,” says Foster-Pedley. MBA participants must practise deciding which data can be used, how decisions will be explained, who remains accountable, where human oversight is essential and what an organisation will refuse to build even if it can.
“These are not abstract philosophical questions. They shape risk, reputation, trust and the lives of employees and customers. AI can process faster than we can and generate options at a speed we cannot match. It cannot care. It cannot accept responsibility. It cannot decide what kind of future is worth creating. The more capable the machine becomes, the more valuable it is to be deeply human.”
Change 4: Renew the focus on culture and psychological safety
Much of the fear around AI is reasonable. People have built identity and dignity around work that machines can now perform quickly. A leader cannot resolve that fear with a speech about purpose. Teams must work out together what they serve, how they will work alongside these tools, where their limits lie and why it still matters that a human is involved.
That requires psychological safety. “People need to be able to admit what they do not understand, name what they fear and try things that may fail. Culture determines whether a team meets AI as a threat to conceal or a possibility to explore. MBA programmes should therefore teach transformation as a human process, not merely a technology rollout.”
Change 5: Place judgement at the centre
AI can give a leader more information while paradoxically making the decision no easier.
“In an environment of generated content, deepfakes and confident nonsense, the risk is not only that we are deceived. It is that we believe what flatters our existing view,” says Foster-Pedley.
This is why simulations, scenario planning and live cases will still matter in the MBA classroom of the future, he says. “Their purpose is not speed. It is to help a leader meet themselves under pressure. How do you decide with half the facts? How do you speak when the picture is still forming? How do you retain trust when people want answers you do not yet have? Technology changes the shape of the threat; it does not change what is being tested.
“Good hybrid leaders will be the ones who say what they know, what they do not know, and what they will do next. They will move with conviction while remaining willing to change course. The opposite of paralysis is not certainty. It is thoughtful action, taken in time.”
“The MBA will remain a rigorous education in strategy, finance, markets and organisations. But it now has a deeper obligation. It must help leaders decide what business is for, who it serves, what is worth creating and what must be held back. AI sharpens each of those questions because it forces us to identify what only a human should decide.”
