Innovation & Disruption
Speakers who examine how industries are reshaped — and how organisations can lead rather than follow change
Legacy businesses do not collapse in a single quarter. They drift, protected by brand equity and habit, until the cost base no longer fits the revenue. The hard work for a leadership team is deciding what to cut, what to defend, and how to keep talent on side while the operating model is rebuilt in public.
Most organisations watch the same trend reports as their competitors and reach the same conclusions. The signals that actually move markets sit one layer deeper, in the cultural shifts and behavioural changes that have not yet been named. The cost of missing them is not a bad quarter, it is a flat decade.
Most large organisations have run AI pilots. Few have moved AI into operating reality at scale, with clear lines on governance, accountability and where it is allowed to make decisions. Boards now need a sharper read on what AI can actually do for their business, what it should not do, and how to deploy it without inheriting risks they cannot defend in front of regulators or customers.
Most boards are now expected to take a public position on AI and immersive technology before the rules that will govern them exist. They are making capital decisions on cities, infrastructure and customer environments under standards that are still being drafted. Knowing who is writing those standards, and how to align to them early, has become a leadership question, not a technical one.
AI investment is running ahead of any defensible view of what the workforce, the operating model, or the regulatory environment will actually look like in five years. Most boards are committing capital to technology decisions without a method for thinking systematically about the futures those decisions produce. Foresight is treated as a creative exercise, not a discipline.
Boards have approved AI pilots, signed responsible-AI principles, and named ethics committees, and still cannot answer whether their deployed systems would survive a regulator’s audit or a serious public failure. The gap is not awareness. It is the operating distance between governance language and the decisions engineers, product leads and procurement teams actually make every week.
Most leadership teams know the pace of change has shifted, but their planning cycles, capital decisions, and org charts still assume a slower world. The cost of that mismatch is invisible until a competitor moves first, a category re-prices, or a technology curve bends. Boards need an outside voice that can name what is actually accelerating in their industry, separate signal from noise, and put a sharper time horizon on decisions already on the table.
Most AI deployments produce pilots, not capability. Tools land in the organisation faster than people can absorb them, and leaders default to vendor narratives because they lack a vocabulary for the human variables that decide whether productivity actually moves. The bottleneck is rarely the model. It is the gap between what AI can do and how the workforce learns to think with it.
Most consumer businesses can describe their strategy. Far fewer can execute one that takes them from a category curiosity to a category leader. The gap is rarely about ideas. It is about portfolio discipline, the right partnerships, and a leadership team that can hold focus while the business multiplies in size.
Established firms are organised to defend what they already do well. The same discipline that protects today’s margin makes the search for the next business feel slow, indulgent, and easy to defund. Leaders need a way to run both at once, without the exploration agenda quietly losing every internal argument.
Most large companies still treat innovation as a creative event rather than a managed discipline. The teams shipping new products lack the metrics, governance, and decision rules that the core business takes for granted, so good ideas stall and bad ones consume capital for too long. Growth then depends on individual heroics instead of a repeatable system.
Boards are being asked to make calls on artificial intelligence and health technology before the evidence base has settled. Most senior teams have a strong grasp of the hype cycle and a weak grasp of what the science actually supports, where the ethical exposure sits, and which innovations will reach customers and workforces inside the planning horizon. The gap between confident vendor pitches and defensible internal judgement is widening.