Scenario Planning & Strategic Foresight
Speakers who help organisations anticipate uncertainty, stress-test assumptions and plan for multiple futures
Autonomous AI agents have started acting on people’s behalf, sending messages, booking, buying, and making decisions without a human in the loop. Organisations now have to decide how much of that autonomy to hand over, and who answers for it when an agent gets something wrong. The technology is moving faster than the controls and oversight meant to govern it.
Growth is getting harder in the markets most companies were built for. The instinct is to optimise what already works, sharpening the brand and pushing harder on the existing playbook. The more difficult question is what to build instead, and most leadership teams lack a shared framework for answering it.
Most strategic frameworks were built for a more orderly world. Boards are now making capital decisions across climate, geopolitics, technology and the loss of trust in institutions, and these have stopped behaving as separate items on a risk register. The harder problem is no longer choosing the right answer to any one of them, but holding a workable stance when the variables move together and feeding the wrong assumptions into the rest of the strategy carries real cost.
Boards approve strategies that look rigorous on the deck and fail in the market. The same executives, looking at the same evidence, reach different conclusions on different days, and nobody notices. Most decision processes are built to confirm what senior leaders already believe, not to surface where their judgment is wrong.
Leaders are making strategic decisions based on assumptions about human behaviour that are already out of date. Trust has shifted structurally – away from institutions, toward the personal and the peer-based. Generational expectations have changed, technology is being adopted in ways organisations did not anticipate, and mental health is now a leadership variable, not an HR one. Most organisations are still using frameworks built for a world that preceded all of this.
Cities are being asked to decarbonise, densify, and absorb new populations through infrastructure that was not designed for any of those things. Most planning systems still optimise for delivery, not for long-term liveability or social cohesion. The hard question is no longer whether to retrofit and rebuild, but how to do it without producing places people will struggle to live in twenty years from now.
Strategy frameworks built for stable industries become a liability when markets are not. The assumption that the objective is to build and protect durable competitive advantage leads organisations to misread the early signals of their own erosion. The real problem is not disruption: it is the absence of a disciplined process for recognising when an advantage has peaked, and moving before the market forces a worse decision.
AI now makes decisions that once belonged to people, and it is absorbing more of the work. Leaders still have to keep human judgement and accountability in place while that happens. Most operating models were built for stability, and offer no map for the ground between what worked before and what comes next.
Most strategy functions are not built for exponential change. They forecast from the past and plan in quarters. When AI, energy transition, and geopolitical realignment compress decades of disruption into months, the system stops working.
The operating assumptions most organisations still use for strategic planning come from a more predictable century. Leaders are running multi-year capital plans, technology roadmaps and workforce strategies against scenarios that are now changing inside the planning cycle. The real discipline is no longer long-range forecasting; it is anticipation, antifragility and agility, and most leadership teams are not yet trained to reason that way.