Future of Technology
Technologists and futurists exploring how emerging innovation will reshape industries, economies and daily life
Categories that touch women’s health, hormones, or stigmatised physiology have been chronically underbuilt. Consumer brands and digital health teams keep underestimating the commercial opportunity in markets they personally find awkward to discuss. Building credibly in those spaces requires a founder who has done both: scaled a brand business and raised capital around physiology most boardrooms still avoid.
Most senior teams have run their first generative AI pilots and stalled. The technology is general-purpose, but the operating decisions are not: which workflows to redesign, which tools to standardise on, where hallucination is tolerable and where it is not. The question is no longer whether to adopt, but how to convert curiosity into measurable operating advantage without ceding judgement to the model.
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.
Boards know AI is not optional. What they do not know is which of the dozen initiatives on the deck will compound into advantage, and which will sink six quarters of budget into pilots that never scale. The gap is not ambition, it is a repeatable way to decide where the organisation actually stands and what to do next.
Boards are being asked to deploy AI faster than they can govern it. The question is no longer whether to adopt the technology but how to make decisions about it that hold up under scrutiny from regulators, employees, and the public. Most organisations have no working model for that, only policies that lag the systems they are meant to oversee.
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.
Most planning tools were designed for a world that no longer exists. Strategy cycles built for predictable horizons break down when disruption compounds across technology, climate, and social change simultaneously – producing false confidence rather than genuine foresight. Organisations that cannot distinguish structural change from noise will always be reacting to a future someone else shaped.
The hard question for senior leaders is no longer what generative AI does. It is what comes after: spatial computing, digital twins, autonomous machines, physical AI. Each arrives with a vendor narrative and a decision attached: where to invest, and which shifts actually reshape the business.