Future of Technology speakers
Technologists and futurists exploring how emerging innovation will reshape industries, economies and daily life
Speakers Associates represents 253 speakers on Future of Technology, including Kemal Apaydin, Michael Lyon, Mark Stevenson, Edvard Moser, Nikolas Badminton, Marc Saltzman, Alex Goryachev, Timandra Harkness, Chris Heemskerk and Dame Wendy Hall.
ESG has become a reporting exercise for many organisations. Boards approve the commitments; the people responsible for delivering them sit one step removed from what climate action means on the ground. Closing that gap matters more than refining the metrics.
Most boards can name the headline technologies. Few have a serious view on which of them will actually reshape their industry, and on what timeline. Without that judgment, capital and talent get committed against the wrong bet.
A handful of companies now sit between every business and its customers, and the rules of competition no longer reward operational excellence alone. Leaders are being asked to build durable strategy inside an economy where scale, data, and distribution compound for a few and erode for everyone else. The question is no longer how to compete, but where the next defensible position actually exists.
Leadership teams know disruption is constant. The harder question is how to make decisions today that hold up against a future they cannot yet see. Most foresight work stalls in the slide deck, never reaching the operating choices about products, talent, and customers where the value actually sits.
Brand trust has collapsed faster than most marketing functions can rebuild it. Customers, employees and investors now treat corporate claims as suspect by default, and the playbooks that worked when trust was assumed produce diminishing returns. The harder question is what an authentic commercial proposition looks like when audiences arrive sceptical, and how to plan brand and innovation strategy when the operating environment keeps shifting underneath the plan.
Most boards have approved an AI strategy and seen very little of it reach operations. The gap is not ambition or model choice. It is the absence of a workforce that can build, govern and run AI systems inside the business, and a leadership team that knows what production AI actually looks like.
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 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.
Senior teams are not short of strategy. They are short of people who can keep moving when the information they are used to relying on goes dark. The hardest leadership question right now is how to make sound decisions, and rebuild composure across a team, when the usual signals stop arriving on time.
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 organisations are built to sell products that already exist to customers who already know they want them. The harder problem is the one a new category faces: persuading high-trust, high-net-worth customers to commit money, time and reputation to something that has never been done, and to keep them engaged through repeated delay, regulatory change and public scrutiny. Few commercial leaders have run that problem end to end.
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.