Innovation & Disruption
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.
Large organisations know they need to innovate faster than their own R&D cycles allow. They have budget, scouting teams, and pilot programmes, yet most startup engagements stall before any technology reaches a revenue line. The hard question is not where to find innovation; it is how to build the internal structure that lets a corporate actually absorb it.
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.
Most organisations face a contradiction they have not solved. Boards now demand faster innovation and faster AI adoption than the structures, talent and risk appetite below them were ever built to handle. Without the language to name that tension, leadership teams produce noise, burnout and bold-sounding decisions that quietly damage the business.
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.
Boards now treat climate and nature risk as material, but most still cannot link soil, food and land use to portfolio decisions in any concrete way. Sustainability strategy stops at carbon accounting and supplier audits, while the underlying assets, farmland, water, biodiversity, continue to degrade. The leaders who get this right turn regeneration into long-term yield. The ones who do not are quietly underwriting losses they have not yet booked.
Most early-stage ventures fail at the same handful of decisions: how to enter a regulated market, how to price a frontier product, where to incorporate, when to raise, what to give up. Founders rarely get those calls in front of someone who has both built ventures in highly regulated sectors and sat on the institutional side when an entire industry had to be wound down. Accelerators help with structure. They do not always have a mentor in the room who has done both.
Most large organisations have run AI pilots. Far fewer have moved them into operating reality. The gap is not the technology, it is the absence of an internal innovation discipline that translates promising experiments into measurable change inside a workforce that is, in many cases, quietly resisting it.