Innovation & Disruption
Speakers who examine how industries are reshaped — and how organisations can lead rather than follow change
Sport and motorsport organisations face hard sustainability questions from regulators, sponsors, and broadcasters, but most still treat ESG as a communications exercise. The gap between net zero pledges, FIA accreditation requirements, and real operating change is widening. Boards now need someone who can take a sustainability strategy and convert it into engineering decisions, supplier choices, and disclosed numbers.
Most enterprises now have an AI strategy on paper and very little of it in production. The board wants returns, the engineering organisation is still rewriting pilots, and personalisation, agents and generative AI are stuck behind unresolved questions on data, privacy and operating model. The gap between AI ambition and AI in revenue is now the defining technology problem of the cycle.
AI is raising the floor for every company at once. The same models, the same speed, the same outputs are now available to every competitor in a category. The danger is no longer falling behind on adoption. It is spending heavily to arrive at the same place as everyone else, faster but indistinguishable.
Most brands can no longer rely on advertising spend to sustain commercial growth. Consumer purchasing decisions are now driven by taste, values, and cultural affiliation, forces that sit outside the traditional marketing brief. Organisations built for reach-and-frequency marketing have no structural model for converting cultural relevance into revenue.
Most senior teams now agree AI matters. Far fewer can say what it changes about their specific business this quarter. The gap between abstract enthusiasm and operational decision sits at board level, and it widens every month a leadership team relies on vendor decks for its mental model of the technology.
Younger consumers and workers no longer accept the trade-offs older marketing playbooks were built on. They expect brands to take a position, deliver on it, and prove it in the product, not in a campaign. Most commercial and brand teams are still reaching them with research that is one cohort behind the cultural reality.
Generative AI is being deployed faster than the governance, voting, and ownership systems around it can adapt. Boards now have to decide which AI systems get a seat at the decision table, who is accountable when those systems shape public opinion, and what legitimacy looks like when a model can speak with more authority than an executive. The hard question is no longer whether to use AI. It is how to keep human institutions credible while doing so.
Marketing budgets are under sharper scrutiny than at any point in a decade, and the old assumptions about how brands earn attention have stopped holding. AI has reset what creative, media and customer experience teams are expected to produce, and most organisations are still reasoning about it as a tool rather than a structural change to how brands compete. The commercial question is which parts of the marketing operation get rebuilt around AI, and which parts get protected because they still depend on human judgement.
Most large organisations treat creativity as a campaign, not a capability. They run an innovation sprint, produce a deck, and return to the same operating rhythm that produced the problem. The harder commercial question is how to make original thinking a daily habit of the people who already run the business, without a separate function or a hired-in consultancy.
Generative AI has moved faster than most operating models can absorb. Boards approve pilots, then stall on how to make the technology work inside real processes, real teams and real customer experiences. The gap between technology curiosity and operating capability is where transformation programmes lose momentum.
Most AI initiatives stall between the pilot and the operating line. Boards have approved spend, teams have shipped demos, and nothing in the actual product, process, or P&L has changed. The pressure now is to move from curiosity to deployed advantage, with governance that holds up to scrutiny and design choices that customers will actually use.
Most boards still treat AI, automation and connected mobility as a technology programme. The harder question is what they do to the operating model, the workforce, the customer relationship, and the social contract a company sits inside. Leaders need a way to think about exponential change that is sharper than scenario decks and more useful than another keynote about disruption.