Innovazione e rivoluzione
Relatori che analizzano come le industrie si trasformano e come le organizzazioni possono guidare il cambiamento anziché subirlo
Speakers Associates represents 390 speakers on Innovazione e rivoluzione, including Kemal Apaydin, Michael Lyon, Peter Fisk, Neri Karra Sillaman, Mark Stevenson, Nilofer Merchant, Itai Green, Lucy Bullivant, Rita McGrath, e Katja Schipperheijn.
Most executive teams can describe what generative AI is. Far fewer can tell you which specific decisions inside their business should change because of it. The gap between surface-level fluency and operational judgement is where transformation stalls, budgets drift, and boards lose patience.
Biology is moving from something organisations observe to something they can write. Pharma, agriculture, materials, energy and insurance leaders now face an industry that behaves like software, with the same compounding curves, platform dynamics and governance risks. Most executive teams have no clear view of what is already possible, what is five years out, and where their own business model is exposed.
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, geopolitics, and social change at once, 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 Chinese consumer is no longer a spreadsheet assumption that keeps global revenue forecasts afloat. Tastes are splintering, loyalty is provisional, and the cultural codes that sold a brand in Shanghai in 2019 are already stale. Leaders need someone who can read what is actually happening inside that market, not what the quarterly dashboards suggest.
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.
Most IoT and digital innovation projects run out of budget before they create value, and the reasons are rarely technical. They are structural. One function owns the work while others join too late, and the partner ecosystem needed to scale sits outside the room.
Most executive teams can identify the trends shaping their sector. Very few have a system for deciding which ones require a strategic response. The gap between broad trend awareness and structured foresight is where long-term planning quietly fails – and where competitors with better methodology gain ground.
Senior teams default to control when conditions tighten. Risk goes up, listening goes down, and the room loses the very behaviours that make adaptation possible: curiosity, candour, the willingness to try something and adjust. The harder question is how to keep a leadership group genuinely open under pressure, without losing seriousness or rigour.
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.
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 organisations have a net zero commitment and a capital plan that does not match it. The gap between the climate narrative on the cover of the annual report and the cost, land, infrastructure and operational decisions inside the business is now visible to investors, regulators and employees. Closing it requires a working understanding of how cities, supply chains and the built environment are actually being rebuilt, not a refreshed slide on ambition.
Most boards have approved AI strategies. Very few have AI in production at the heart of a regulated business. The gap between pilot enthusiasm and operating reality is where strategy stalls, governance gets nervous, and customer-facing teams quietly lose faith in the technology.