Innovation & Disruption speakers
Speakers who examine how industries are reshaped — and how organisations can lead rather than follow change
Speakers Associates represents 391 speakers on Innovation & Disruption, including Kemal Apaydin, Michael Lyon, Peter Fisk, Neri Karra Sillaman, Mark Stevenson, Nilofer Merchant, Itai Green, Lucy Bullivant, Rita McGrath and Katja Schipperheijn.
AI is absorbing the work middle management was paid to do. Reporting, coordination, status tracking, summarisation, performance feedback: all of it is moving into systems. Leaders can see the org chart will not survive in its current shape. Few have a working model for what replaces it, or for where human capability concentrates once execution is automated.
Building a venture-backed business is hard. Building one in a regulated industry, as a non-technical founder, from outside the usual networks, is a different problem. Most founder talks skip the part where capital, regulation, and category timing decide whether the company survives. Operators who have lived that arc, and who can name what actually broke, are rare.
Boards have committed to AI before they have decided what it is for. Pilots multiply, vendors crowd the agenda, and the gap between what the technology can do and what the organisation should do with it widens. Leaders need a credible read on which shifts matter, on what timeline, and which ones are noise.
Most large companies now talk about purpose, but the operating reality stalls inside marketing, legal and finance. Boards want a credible answer on how a mission can sit at the centre of a product, a brand and a P&L without becoming a slogan. The harder question is how to build a business where purpose is a growth engine rather than a cost centre.
Most boards have signed off on AI strategies they cannot fully explain to their own people. The gap is not technical, it is translational: senior teams need a clear read on what the technology can already do, what is still hype, and which decisions cannot wait. Without that clarity, AI investment becomes a portfolio of pilots rather than a source of advantage.
Most organisations have run AI pilots. Very few have converted them into operating performance. The gap is no longer about technical capability; it is about strategy, governance, sourcing decisions, and the readiness of the people who have to use the systems every day.
Most boards now have an AI strategy on paper and very little shared understanding underneath it. The gap between what executives say about emerging technology and what they actually grasp about it is widening, and it shows up in every investment decision, vendor conversation and workforce question that follows. Closing that gap, in language a senior audience will trust, is the work.
Most leadership teams plan for a future that resembles the recent past. Then AI, climate volatility, and geopolitical fracture arrive at once, and the plan does not survive the first quarter. The question is no longer how to predict the next disruption, but how to build an organisation whose reflexes are tuned to operate when prediction fails.
Most large organisations are still built for a world that no longer exists. Strategic plans run on multi-year cycles. Org charts assume stable competitive advantage. Yet incumbents in consumer goods, banking, retail and luxury are losing ground to faster competitors while their leadership teams debate process.
Most large companies have an innovation programme that produces activity but not commercial outcomes. Pilots multiply, hackathons run, idea portals fill up, and the operating model still rewards what worked last year. The harder question is how to make innovation a managed discipline that allocates real capital to the right problems, not a creativity theatre that the executive committee tolerates.
Most large organisations are designed to execute existing business models. The structures and incentives that make execution efficient are the same ones that make serious innovation almost impossible to deploy at scale. The result is innovation theatre: pilots, labs and accelerators that produce activity without changing the operating reality of the company.
Most large companies treat innovation as theatre. They host hackathons, set up labs, announce partnerships, and run accelerators, ending up with a pipeline of pilots that never reach the P&L. The real problem is converting a corporation’s existing assets into products the market will actually pay for.