Future of Technology
Technologists and futurists exploring how emerging innovation will reshape industries, economies and daily life
Energy transition strategies designed in mature markets break the moment they meet a weak grid, a thin balance sheet, or a population already paying for diesel. Boards investing in climate, infrastructure or emerging markets need someone who has built clean energy hardware and software where the grid is unreliable and capital is scarce, not someone who has only modelled it. The gap between net zero ambition and operational reality is widest exactly where the next billion energy customers are coming online.
Incumbents in the Middle East are no longer being disrupted only by Silicon Valley. The threat now comes from regionally funded, regulator-aware digital challengers that understand local payments, language and consumer behaviour better than any global entrant. Most regional boards still treat innovation as a corporate venturing line item, not as an operating decision about where the business will compete in five years.
Most brands still treat marketing as broadcast: a message pushed at a customer through paid media. The customer, meanwhile, decides whether to buy on the basis of what the brand actually does to them in the room, in the app, in the stadium, in the store. The gap between what marketing departments produce and what customers experience is where commercial advantage is now lost or won.
Most early-stage ventures fail not for lack of product but for lack of access: to networks, to capital, to the unwritten knowledge that decides who gets a meeting. The same gap shows up inside large organisations, where good ideas die because the originator does not know how to build the relationships that move them. Treating that gap as a soft skill keeps it permanent.
Most companies treat under-served audiences as a marketing afterthought. The commercial reality is the opposite: an audience nobody else is serious about can be the most defensible position a business ever holds. The question for leaders is how to identify that audience, build a product the audience trusts, and turn niche-first conviction into platform-scale economics.
Most organisations can articulate an innovation ambition. Few can show how they built the selection discipline and institutional infrastructure to convert that ambition into genuine operational capability. The gap between the two is usually where the real problem sits.
Most innovation strategies still assume one capital model, one growth curve and one definition of a winning company. That assumption now constrains where ideas come from, who gets funded, and which businesses survive their second decade. Boards backing the next generation of operators need a sharper view of what disciplined, purpose-aligned entrepreneurship actually looks like at scale.
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.
Boards are being asked to make capital and workforce decisions on AI without a shared map of where the technology is actually heading. Internal teams default to either pilot-by-pilot caution or unchecked enthusiasm, and neither produces a defensible long-range position. What is missing is a credible read of what the next decade looks like, grounded in technology history rather than vendor marketing.
Boards and executive teams know they need to act on AI, but most are stuck between vendor pitches, pilot fatigue and a regulatory picture that keeps moving. The harder question is not whether to invest, but which decisions belong in the boardroom, which belong with the operators, and how to govern the technology without stalling it. Few advisors have sat on all three sides of that table: building the technology, running it at scale, and writing the policy that shapes its limits.
Most organisations have run AI pilots. Almost none have rebuilt how work actually gets done. The gap between board ambition and operational reality is where competitive position is now being lost, and senior teams are running out of room to keep treating AI as an experiment rather than an operating model.
Most leadership teams cannot articulate the basic scientific systems that their business depends on. When resources tighten, supply chains fracture or new technologies arrive faster than the strategy cycle, the gap between executive intuition and physical reality becomes a serious commercial risk. Foresight at this depth is rare, and almost never delivered with clarity.