Future of Technology
Technologists and futurists exploring how emerging innovation will reshape industries, economies and daily life
Most boards now accept that AI will change their business. Few have a defensible view on what it changes first, what it changes structurally, and what it does to the labour model their P&L assumes. The gap between accepting AI as a trend and treating it as a strategic variable is where serious organisations are exposed.
Boards are being asked to make irreversible capital decisions on AI, quantum and biotech without a credible internal voice on where these technologies are actually heading. The default response is to delegate the question to consultants who repeat last year’s consensus. That leaves the most consequential bets on the desk of leaders without the technical horizon to make them.
Most organisations talk about innovation and ship incremental product. The gap shows up in how invention is governed: which problems get resourced, how patents become products, and how a founder or intrapreneur converts a research prototype into a funded, regulated, commercial business. Boards want operators who have done both sides, scaled invention inside a multinational and built a venture from nothing.
Most technology products fail not because the technology stops working, but because people won’t use them. Organisations pour investment into building capability and almost nothing into understanding adoption. The psychology of why users reject genuinely useful innovations is a problem most corporate innovation teams are not equipped to see – let alone solve.
Banking, payments and customer trust are being rewritten by code, and most incumbent institutions are still organising around branches, products and quarterly earnings. Boards know the platform players, embedded finance and AI agents are reshaping the economics of the industry. The strategic question is how far to push, how fast, and what kind of institution remains on the other side.
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Generative AI has moved from novelty to infrastructure inside most large organisations, but the operating question has shifted. The risk is no longer falling behind on tooling, it is letting the technology replace the human judgement and creative instinct that made the business worth building. Leaders need a working theory of where AI accelerates people and where it quietly hollows them out.
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.
Most organisations have built hybrid operating models without ever deciding which conversations belong on which channel. Email, video, instant message and phone get used by reflex, and the cost shows up in fractured trust, slow decisions and meetings that produce noise rather than alignment. The question is no longer whether to work remotely. It is which medium to use, for what conversation, and what that choice does to performance.
Most leadership teams have run their generative AI pilots and now face a harder question: where does the technology actually sit inside the operating model, and which categories of work change shape entirely. The answer is rarely visible from the inside, where vendors pitch tools and consultants pitch frameworks. It comes from people who have built original commercial product with these systems and watched the next layer of human-machine technology arrive in a hospital bed.
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.