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.
Boards are being asked to commit capital across a world where the rules of trade, alliance and supply have stopped holding. China exposure, sanctions regimes, climate-driven migration and the reordering of supply chains now sit inside investment cases that were once treated as macro background. Leaders need a way to read the new map before they price the next decision.
Digital transformation programmes routinely stop at the edge of the human body. Leadership teams know identity, authentication, health data, and workforce capability are converging into something more intimate than a mobile device, but they have no shared language for what that means for products, security policy, or talent. The question is not whether human augmentation arrives in serious organisations, but how a board prepares for it without becoming either dismissive or naive.
Satellite and space infrastructure has quietly become foundational to both modern markets and modern defence. Few boards have caught up. European sovereignty in secure connectivity is now a political priority, and leaders need to understand what that shift means for competitiveness.
Most boards struggle to separate technological hype from technological reality. They invest heavily in fashionable platforms that fade, and miss the engineering signals that reshape an industry years in advance. The cost of that misjudgement is rising as AI, cybersecurity and connectivity converge.
Most leadership teams plan in linear increments while the technologies reshaping their industry compound exponentially. The gap between the speed of internal decision making and the speed of external change is where incumbents lose. The question is no longer whether to act on AI, robotics, biotech and space, but how to redesign the operating model so the organisation can place serious bets without breaking itself.
Most leadership teams are not short of AI commentary. They are short of conviction about what to do with it. The harder question is which signals warrant a budget shift this year and which are noise dressed up as strategy.
Most strategic planning is a structured form of imitation. Organisations benchmark against competitors, adopt industry best practice, and optimise for positions that rivals are already occupying. The result is competitive intensity without competitive advantage. The question no strategy process forces a leadership team to answer is whether the thing they are building is genuinely new – or just expensive to copy.
Most organisations are now running AI through their creative, design and brand functions without a clear view of what humans should still own and what machines should do. The result is output that looks generative but feels generic, and teams that cannot articulate where their craft adds value. The harder question, what creative judgement actually contributes once the machine can produce a draft, rarely gets answered.
Most digital transformation programmes stall in the gap between strategy decks and operating reality. The harder question is sovereignty: who controls the code, the infrastructure, the talent pipeline, and the standards your business now depends on. Boards rarely have a credible internal voice that can speak to both the technology stack and the policy machinery around it.
Most organisations treat design as decoration applied at the end. A logo, an interior, a product finish. The result is brands that are interchangeable, products that are forgettable, and customer experiences that compete only on price. The harder discipline, redefining a category through how it is conceived, materially built, and delivered to the user, is rarely understood at board level as a commercial decision rather than an aesthetic one.
Most AI initiatives stall between the pilot and the operating line. Boards have approved spend, teams have shipped demos, and nothing in the actual product, process, or P&L has changed. The pressure now is to move from curiosity to deployed advantage, with governance that holds up to scrutiny and design choices that customers will actually use.
Most strategic plans assume next year will look like this year. They are built on linear assumptions about technology that has been advancing exponentially for decades. Investment cycles miss inflection points by years; budgets arrive late to capabilities already commoditising.