Innovation & Disruption
Speakers who examine how industries are reshaped — and how organisations can lead rather than follow change
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.
Building a venture-backed business is hard. Building one in a regulated industry, as a non-technical founder, from outside the usual networks, is a different problem. Most founder talks skip the part where capital, regulation, and category timing decide whether the company survives. Operators who have lived that arc, and who can name what actually broke, are rare.
Sustainable advantage has collapsed for most early-stage businesses. Distribution is cheap, features are copied within weeks, and capital alone no longer protects a category position. The companies that hold ground are the ones whose customers, contributors and earliest believers are bound to the product by something the balance sheet cannot buy.
Most enterprises now have an AI strategy on paper and very little operating advantage to show for it. Pilots stall, governance is improvised, and the gap between board ambition and frontline deployment keeps widening. Leaders need a credible operator who has built AI inside a Fortune 500 and shaped it inside the United Nations, not another commentator describing the trend.
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 enterprises have bought into generative AI in principle and stalled in practice. Pilots multiply, demos impress, but very few make the jump to operating on proprietary data inside real workflows. The hard question for boards is no longer whether to adopt AI, but how to make it useful at scale without losing control of accessibility, governance and the workforce alongside it.
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 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 growth capital still flows through the same networks it always has, leaving credible founders outside those networks structurally underfunded. Senior teams know the talent exists. The harder question is how to source it, back it, and build the surrounding infrastructure that turns a fundable founder into a scaled company.
Every executive team is being asked to deploy AI faster than their governance can keep up. The harder question, which boards now own, is which use cases should be refused. Bias inside the models is not the only risk; the bigger one is shipping systems into contexts where the cost of being wrong is borne by people the organisation cannot see.
Most capital flows to founders who pattern-match to the people allocating it. The result is a structural blind spot: viable businesses, large markets, and disciplined operators get passed over because they do not fit a familiar template. Closing that gap is a commercial problem before it is a values one.
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.