Innovación del Modelo de Negocio
Oradores que cuestionan cómo las organizaciones crean, entregan y capturan valor en mercados en transformación
Speakers Associates represents 112 speakers on Innovación del Modelo de Negocio, including Purna Virji, Tom Goodwin, Daniel Trabucchi & Tommaso Buganza, Diana Verde Nieto, David S. Kidder, Dhar Mann, John Mackey, Arunjay Katakam, Tim Calkins y Joerg Niessing.
Most consumer brands die in the gap between a founder’s instinct and the operational scale needed to compete. Building something distinctive is hard. Building it again, after selling, walking away, and starting from a kitchen table for the second time, is a different problem entirely. Senior teams want to know what survives that journey, and what gets left behind.
Service organisations are being asked to deploy AI agents and intelligent automation faster than their operating models can absorb them. Leaders know the productivity case, but the harder question is what the customer relationship, the workforce, and the cost-to-serve actually look like once agents handle the work front-line teams used to own. Most transformation programmes underestimate that redesign and end up automating the old service blueprint instead of rebuilding it.
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.
Connected products generate more value as data than as objects, and most organisations have not worked out who owns that data, who monetises it, or what their business looks like when a competitor figures it out first. Boards know the shift is happening. Few have a defensible position on what to do about it.
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.
Legacy businesses with strong brands and weakening unit economics keep asking the same question: how do you charge directly for what used to be paid for by advertisers, without losing reach. The answer is rarely a pricing tweak. It usually requires rebuilding the relationship with the customer, the product, and the data underneath, against an internal culture that was not designed for any of it.
Most companies can describe the venture they want to build. Far fewer can pressure-test whether the business model will actually scale, where the unit economics break, and which of the next twelve decisions will quietly kill it. Senior teams need someone who has stress-tested ventures from the inside, at scale, and who can show a leadership group how to do the same with their own bets.
Audiences are fragmenting, advertising revenue keeps falling, and the platforms that once delivered scale are now extracting it. Publishers and content businesses have to decide what readers will actually pay for, then rebuild the product, the newsroom, and the commercial engine around that decision. Most do not know where to start, and the cost of getting it wrong is the title itself.
Sustainable competitive advantage has stopped behaving like it used to. Incumbents with strong positions, talent, and capital still lose share to entrants who reframe the question rather than win on the answer. The work is no longer protecting a moat; it is detecting where the moat has already moved.
Most consumer-facing businesses can describe their product. Far fewer can describe what their brand actually stands for, or defend it when growth pressure pulls the offer in five directions at once. Leaders running creative, design-led or founder-led companies need a clear-eyed view of how a distinctive aesthetic becomes a durable commercial asset, and where it stops being one.
Most organisations lose their identity the moment they start to scale. Independence, creative discipline and a clear sense of what to refuse are the first things traded away when growth, partnerships and platform pressure arrive. Staying recognisable to your audience over decades, while the rules of the industry change underneath you, is a harder commercial problem than most leadership teams admit.
Fashion businesses run on a development model that was already strained before AI changed what was possible. A typical garment moves from sketch to production through six to eight weeks of manual pattern work, multiple physical samples, and inventory commitments made months before a customer is asked anything. The operational question is no longer whether to automate. It is whether the leadership team understands which parts of the cycle can now be compressed, what the supply chain looks like when production becomes on-demand, and how to integrate digital and physical product lines without losing brand identity.