Innovation & Disruption
Speakers who examine how industries are reshaped — and how organisations can lead rather than follow change
Marketing budgets are under harder scrutiny than at any point in the last decade. Boards want proof that brand investment compounds, not just that it performs this quarter. The tension sits between optimising what already works and rebuilding the commercial engine for a consumer who has moved on.
Most large companies still run innovation as a closed loop: internal R&D, internal pipeline, internal launch. The assumption that the best ideas must come from inside is expensive, slow, and increasingly wrong. The harder question is how to bring external ideas in, send internal ideas out, and build a business model that actually captures value from either.
Most large organisations recognise that their next move has to come from outside their own industry playbook. They struggle to do anything with that recognition. Internal teams default to peer benchmarks, customer research that confirms existing assumptions, and innovation pipelines that produce incremental product features rather than reframed propositions.
Most senior teams have plenty of answers. What they lack is a disciplined way to surface the questions that would reframe the problem entirely. When the strategic terrain shifts faster than the playbook, the limiting factor is not analysis or execution; it is the quality of the questions being asked in the room.
Most organisations are deploying AI into environments designed for people, then expecting the people to adapt. The result is friction that looks like a technology problem and is actually a collaboration problem: badly timed hand-offs, brittle trust, staff working around the system rather than with it. The buyers who feel this most acutely are the ones who have passed the pilot stage and are now trying to make human and machine teams productive at scale.
Organisations are deploying AI capabilities faster than they are building the governance structures to manage them. The gap between what technology can do and what leadership has decided it should do keeps growing. The harder question is not whether to automate but what must remain human – and most boards do not yet have a framework to answer it.
Most large companies have an innovation budget, an innovation team, and an innovation vocabulary. What they do not have is an innovation strategy that connects any of it to how the business actually competes. The result is a decade of spending with no durable advantage to show for it, and a growing suspicion inside the C-suite that scale itself is the problem.
The middle ground that organisations were built around is thinning out, and the rate at which it thins is itself accelerating. Intermediaries lose their role, the nation state loses its monopoly on power, and customers and employees move to the edges. Senior teams have to decide which structures still pay back, which have quietly stopped working, and how to plan when the cycle of change is shortening.
Leaders keep being asked to commit before the picture is clear. The information is incomplete, the team is mixed in experience, and the penalty for freezing is as high as the penalty for moving wrongly. What organisations need is not more data, it is a workable discipline for trusting a team, reading partial signals, and advancing when the path is not visible.