Artificial Intelligence & Generative AI
Speakers who decode the real-world impact of machine intelligence on industries, workforces and competitive advantage
Boards now make commercial decisions inside a state-shaped landscape. Sanctions, export controls, AI rivalry and severed supply corridors are no longer background context, they are the terms on which growth, capital allocation and market access are negotiated. Most leadership teams have no internal capability to read these moves before they become balance-sheet events.
Retail and consumer businesses are running two clocks at once. The five-year horizon is being rewritten by AI, automation, and a generation of consumers who expect physical and digital to behave as one channel. Most leadership teams are deciding capital allocation and store strategy without a clear read on what the next three to five years actually look like on the ground.
Most large organisations cannot decide whether to back radical bets or defend the core, and the result is a portfolio of pilots that never become businesses. Founders who have actually built and scaled creative ventures think differently about risk, talent, and what an early signal of traction looks like. That perspective is rare inside corporates and increasingly valuable as AI and gaming logic reshape how products get made.
Boards are being asked to make decisions about biometric data, immersive interfaces and human-machine integration before most leadership teams have a working vocabulary for any of it. The technology is moving into products, workplaces and customer experiences faster than governance can keep up. Organisations need a credible human-side view of where this is going, and what to commit to now.
Five generations now share offices, customer bases, and management lines. Each was shaped by a different economy, a different technology stack, and a different idea of what work is for. Leaders are being asked to engage all of them at once, and the old playbook assumes one workforce, not five.
Retail leadership teams are running two organisations at once: a legacy operation built around store footprint, seasonal buying and broadcast marketing, and an emerging one shaped by AI personalisation, gamified loyalty and immersive commerce. The capital is flowing into the second, the revenue still sits in the first, and most boards cannot tell which experiments are worth scaling and which are theatre. The question is not whether AI changes retail. It is which bets pay back inside the planning cycle.
Most leadership teams treat digital risk as a technical problem they can delegate. The real exposure is power: who controls the information, the platforms, and the narratives that now decide a company’s reputation, a market’s direction, and an election’s outcome. By the time that shift is visible on a balance sheet, the advantage has already moved.
Most boards now have an AI strategy on paper and very little shared understanding underneath it. The gap between what executives say about emerging technology and what they actually grasp about it is widening, and it shows up in every investment decision, vendor conversation and workforce question that follows. Closing that gap, in language a senior audience will trust, is the work.
Most boards have signed off on AI strategies they cannot fully explain to their own people. The gap is not technical, it is translational: senior teams need a clear read on what the technology can already do, what is still hype, and which decisions cannot wait. Without that clarity, AI investment becomes a portfolio of pilots rather than a source of advantage.
Most large organisations in emerging and developed markets are running digital transformation programmes that have stalled at the pilot stage. Boards want exponential technology translated into operating advantage, not slide decks. The harder question is whether the leadership team, the culture, and the customer model are set up to absorb it.
Most large companies have run AI pilots. Few have moved them into operating advantage. The tension is no longer whether to invest, but how to convert experimentation into revenue, new business units, and customer interfaces that legacy organisations can actually run.
Most large companies still confuse digital activity with commercial reinvention. They run pilots, refresh apps and back venture funds, then wonder why challengers keep eating their margin. Building genuinely new business models inside a corporate envelope requires founder instinct that almost no executive team has on its bench.