Scenario Planning & Strategic Foresight
Speakers who help organisations anticipate uncertainty, stress-test assumptions and plan for multiple futures
Customer expectations don’t shift gradually – they reset when a leading business makes a move that becomes the new standard. Most organisations track their own customers too closely and the forces reshaping those customers not closely enough. The arrival of AI has made the problem acute: more signals, faster change, and a greater penalty for placing bets on the wrong ones.
Western boards are making consequential decisions about China – on supply chains, investment exposure, and strategic partnerships – based on assumptions about how China’s government thinks and acts that are frequently wrong. Official data on the Chinese economy routinely understates the scale of structural risks. The gap between how China sees its own economic model and how the West interprets it is not a communications problem. It is a governance and risk problem, with material consequences.
Most strategy processes treat the future as uncertain and respond by hedging. That posture costs time and investment while competitors move on signals that were knowable in advance. Leadership teams need a disciplined way to separate the parts of the future that are already decided from the parts that are still open, and to act on each differently.
Most leadership teams treat AI as an efficiency question rather than a question of identity. When algorithms absorb cognitive work, the traits that actually differentiate an organisation become both more valuable and harder to preserve. The strategic question is not whether to adopt AI but what a business chooses to remain unmistakably human about as AI reshapes the default.
Most bank digital transformation programmes are redesigning customer interfaces, not the structural model underneath. The real question is whether a bank retains a meaningful role when AI manages financial decisions autonomously on the customer’s behalf. Boards that cannot answer that question are investing in the wrong conversation.
Organisations are deploying AI faster than they are rethinking what their workforces should do. The gap between automation investment and workforce strategy is not a technical problem – it is an institutional one. Every historical wave of technological disruption has produced the same error: treating short-term labour displacement as permanent decline, or resisting disruption until the window for adaptation has closed.
The post-1989 European security order is no longer reliable, and boards know it. Sanctions exposure, Russia, China, US policy volatility and a war on European soil now bear directly on capital allocation, supply chains and country risk. Most leadership teams do not have a sober, first-hand read on what comes next.
Organisations invest heavily in understanding technology trends, yet most briefings start with the applications and skip the science behind them. The result is leaders who can name the tool but cannot reason about where it leads. Quantum computing, space-based infrastructure, and AI all rest on physical principles that reward first-principles thinking – and penalise those who lack it.
Political decisions made in Washington now move markets, rewrite supply chains and reshape alliances within a single news cycle. Boards and executive teams are being asked to read presidential intent, congressional risk and foreign policy direction in real time, with access to the same cable coverage as everyone else. What they lack is a primary-source account of how those decisions are actually being made, by whom, and on what evidence.
Boards are making consequential decisions – on investment, supply chains, market exposure, and partnerships – in a geopolitical environment that no longer follows the rules they were trained to read. The separation between geopolitics and business strategy, always convenient, is now actively dangerous. Organisations that treat great-power competition as background noise are not being cautious; they are being blind.
Technology strategies are being made faster than the institutions running them can think. The tools leaders use to understand risk were built for a slower, more legible world. When misinformation, digital conflict, and exponential change operate simultaneously, the primary vulnerability isn’t technological, it’s cognitive.
Leaders trust their judgment. But judgment is built entirely from past experience, which means it reliably reproduces what already exists. The challenge isn’t a lack of data or analytical capability. Every decision in an organisation is filtered through a perceptual system that evolved to predict, not to discover. Genuine adaptation requires something harder than a new strategy: it requires the ability to see what your own assumptions make invisible.