Business Model Innovation
Speakers who challenge how organisations create, deliver, and capture value in shifting markets
Most AI investments stall after the demo. The model works, the pilot impresses, but customer behaviour does not change and the board sees no return. The hard problem is not building the capability. It is closing the distance between what the technology can do and what a market will actually adopt, trust, and pay for.
Most companies bolt new technology onto old structures. They digitise the existing business instead of asking what that business would look like if they built it today. The hard part is telling which technologies are noise and which change the basis of competition, then acting before the answer is obvious to everyone.
Established companies are being disrupted by platform businesses built on assets those companies already own. Legacy structures, customer relationships, and proprietary data are competitive advantages, but only if the organisation knows how to activate them as platforms. Most do not.
Most strategy fails at the point of execution. The board signs off on a commitment, the operating model does not change, and what people actually do at the frontline drifts back to whatever it was before. For luxury and consumer brands, where trust is the asset, the gap between board intent and frontline reality is where commercial value and reputational credibility are both lost.
Audiences have stopped trusting brand messages and started rewarding the brands that behave like creators. Marketing budgets keep climbing while attention, retention and loyalty keep falling. The organisations winning that gap have figured out how to build their own narrative engine, at studio scale, on a creator economics base.
Most companies treat purpose as a marketing layer placed over an unchanged operating model. The result is brand language that staff, customers and investors no longer believe. Building a business that runs on stakeholder logic, and still compounds at scale, requires a strategic architecture few leadership teams have actually seen work.
Growth strategies built on extraction are reaching their commercial ceiling. Customers, regulators, and capital are pulling in the same direction: businesses that cannot demonstrate inclusive economics in their unit economics are losing access to markets and licence. The tension for senior leaders is practical, not philosophical. How do you redesign the operating model so participation, opportunity, and sustainability become commercial inputs, not afterthoughts.
Most established brands lose share not because a competitor invented something new, but because the incumbent had no plan for the attack when it came. Marketing teams are trained to launch and build; very few are trained to defend a position, protect a price corridor or hold a category against a credible challenger. The cost of that gap shows up in lost margin years before it shows up in lost revenue.
Most large companies have spent a decade investing in digital, data and AI, and the commercial return is still uneven. The hard question is no longer whether to transform, but how to convert that investment into customer experiences, brands and business models that actually grow revenue. The answer sits at the intersection of strategy, culture and data, and very few leadership teams have a coherent view across all three.
Most large companies still treat innovation as a creative event rather than a managed discipline. The teams shipping new products lack the metrics, governance, and decision rules that the core business takes for granted, so good ideas stall and bad ones consume capital for too long. Growth then depends on individual heroics instead of a repeatable system.
Most consumer businesses talk about community as a marketing tactic. The companies that actually grow from it treat community as the product, the distribution channel, and the underwriting engine all at once. Building a venture that depends on a community to function, rather than to amplify, requires a different commercial discipline than most leadership teams have ever practised.
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.