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.
Most organisations have a sustainability strategy. Far fewer have made sustainability the structural logic of their business model. The pressure from investors, regulators, and employees is real, but it is producing reporting, not reinvention. The gap between stated commitment and genuine commercial transformation is where ambition runs out.
Most large organisations cannot reach the under-30 buyer with the brand machinery they already own. Internal marketing teams are structured for paid media, not for creators, and senior leaders rarely have a credible read on how Gen Z actually decides what to buy, work for, or trust. The result is real revenue exposure dressed up as a content problem.
Most large organisations have built AI proofs of concept, signed cloud contracts, and stood up data teams, yet still cannot point to a measurable change in how decisions are made or where margin is captured. The harder question is which digital capabilities, deployed in which sequence, actually shift competitive position. Buyers want a clear read on where the evidence supports investment and where the hype outruns the data.
Most leadership teams consume far more futures content than they can act on. The problem is not a shortage of prediction. It is the absence of a structured method for connecting macro change to the specific decisions an organisation is already under pressure to make. Without that connection, strategic planning is reactive, investment decisions trail the market, and the wrong questions dominate the board’s time.
Most marketing teams now have more data, more channels, and more technology than at any previous point. Customer engagement keeps falling flat. The same is true inside organisations: ideas that survive the brainstorm rarely survive the journey to launch. The problem is not investment or capability – it is the cultural conditions that determine whether creative thinking reaches customers at all.
Most boards now own an AI strategy on paper. Far fewer can defend, in front of customers, regulators or their own workforce, the design choices behind it. The gap between deploying AI and deploying it in a way that earns trust, holds up to scrutiny, and actually augments the people using it is where serious organisations are getting stuck.
Most consumer brands and media businesses are competing for attention in a market where attention is collapsing in value. The instinct is to chase scale, lower price, and platform reach. The harder question is whether a brand can build a paying audience that treats it as essential, in print, in physical retail, and in formats the rest of the industry has written off.
Boards now own cyber risk in a way they did not a decade ago, and most are not equipped for it. Threat actors are using AI to industrialise social engineering, deepfakes and intrusion at a pace that outruns existing controls. Executives need someone fluent in both the intelligence-grade threat picture and the commercial reality of running a business through it.
Most organisations treat AI, robotics and emerging technology as a procurement question. The harder question is whether leadership teams understand the science well enough to set boundaries on what these systems should and should not do. Without that grounding, governance defaults to vendors, and disruptive innovation becomes something that happens to the business rather than something it directs.
Most companies fall in love with their solution before they have proved the problem is worth solving. The result is launched products no one needs, growth plans that stall at the pilot stage, and innovation portfolios that consume capital without producing category leaders. Senior teams need a discipline for finding problems large enough to justify the work, and the conviction to abandon the rest.
Every established organisation faces the same structural trap: the systems that make it excellent today are precisely what prevent it from building what it needs tomorrow. Budget cycles, governance structures, and talent incentives are designed to protect the core – not to fund the experiments that will eventually replace it. The problem is not a lack of innovation ambition; it is the absence of a working architecture that lets both agendas run simultaneously, with different logic, without one destroying the other.
Most leadership teams cannot tell which emerging technologies will reshape their business and which are noise. They commission AI pilots, IoT proofs of concept and digital programmes without a coherent picture of how these pieces will sit together five years out. The gap is not capacity to experiment. It is the absence of a credible long-range view that operating decisions can be anchored to.