Henley Alumni Stories - stories from our community
The lesson I took from that experience was that effective leadership is not about having all the answers. It is about creating the conditions in which people can make good decisions when the answers are not yet clear. That philosophy has stayed with me throughout my career. Moving into business, I saw many of the same challenges playing out in a very different context. Organisations were dealing with increasingly complex environments, changing markets, new technologies and greater uncertainty. Yet leadership approaches often remained rooted in relatively stable assumptions about how organisations worked: strategy was set, structures were designed, people were aligned and execution followed.
AI is challenging those assumptions much more fundamentally. The important question is no longer simply how organisations can use AI to make existing work faster, cheaper or more efficient. AI changes what organisations can potentially do. It can alter how decisions are made, where expertise resides, how work is organised and, ultimately, how value is created. This has created a leadership challenge. Technology can develop capabilities faster than an organisation's leadership systems can absorb them. The pace of technological change can therefore begin to exceed the organisation's ability to adapt. For me, this is where my experience in military intelligence has become particularly relevant.
The leadership disciplines required in an uncertain, rapidly changing environment are not fundamentally about technology. They are about how leaders think, decide and operate when they cannot rely on established answers. They involve being comfortable with ambiguity, understanding the difference between information and insight, making decisions under pressure, creating trust when certainty is unavailable, and continually adapting as the situation changes. These are increasingly important organisational capabilities in the AI era. My work with Henley Business School has given me the opportunity to explore and develop these ideas with business leaders. Through my involvement in executive education, I have been able to bring together lessons from my earlier career with the challenges organisations are now facing as AI moves from an emerging technology into an increasingly important part of how businesses operate.
What interests me most is not teaching leaders about AI as a technology. It is helping them understand what AI means for leadership. If AI expands what an organisation can do, then leadership has to expand with it. That means moving beyond asking, 'How can we use AI?' towards much more consequential questions: What could our organisation now do that was previously impossible or uneconomic? Where should decision-making sit? What happens when capability becomes distributed across people and intelligent systems? Which assumptions about how we organise work are no longer valid? And what does leadership look like when the environment is changing faster than our ability to predict it? These are not technology questions. They are leadership questions.
My own journey has therefore reinforced a simple belief: leadership cannot remain static while the environment around it changes. The leaders who create value from AI will not necessarily be those who know the most about the technology. They will be those who can adapt their organisations, and themselves, to operate effectively in conditions of accelerating change, uncertainty and expanding capability. That is the leadership challenge I am now focused on.
What is one piece of advice you would share with a current student at Henley to inspire them in their career journey?
Perhaps the most unexpected lesson from my career is that the experiences that seemed most specific to one environment can turn out to be the most relevant when the environment changes completely.