The small apartment now competes with the grand hotel
Numa conferência em Lisboa, o professor Nadim Bou-Habib, da Nova SBE, avançou um argumento que vai além da tecnologia: a inteligência artificial não é apenas uma ferramenta nova, mas uma reconfiguração profunda das regras da competição económica. Durante décadas, a escala foi o fosso que separava os grandes dos pequenos; agora, esse fosso estreita-se. O que está verdadeiramente em jogo não é a adoção de software, mas a disposição humana para mudar — e a capacidade das organizações de aprenderem mais depressa do que os seus concorrentes.
- A vantagem histórica das grandes empresas — escala, capital, infraestrutura — está a ser erodida por sistemas de IA acessíveis a qualquer negócio disposto a adotá-los.
- Pequenos operadores podem agora personalizar experiências, ajustar preços em tempo real e responder a preferências individuais com uma sofisticação que antes exigia recursos enormes.
- As organizações bem geridas enfrentam um paradoxo cruel: os mesmos sistemas que as tornaram eficientes resistem à transformação radical que a sobrevivência agora exige.
- Preparar pessoas para decidir rapidamente, aprender com o erro e tolerar a incerteza tornou-se tão urgente quanto qualquer investimento tecnológico.
- No horizonte, agentes de IA negociarão diretamente entre si em nome de consumidores e empresas — a competição passará a acontecer, em grande parte, a velocidade de máquina.
Nadim Bou-Habib, professor da Nova School of Business and Economics, tem um sonho peculiar: que o seu agente de IA e os dos seus alunos conversem entre si, resolvendo problemas enquanto todos descansam numa praia. É uma imagem pequena, mas contém algo maior — uma intuição sobre como a inteligência artificial pode transformar não apenas as ferramentas que usamos, mas a própria natureza do trabalho e da competição.
Falando num evento em Lisboa organizado pela UNICRE, Bou-Habib argumentou que a IA não é um instrumento a acrescentar às estruturas existentes, mas uma reordenação fundamental de quem pode competir e em que condições. O exemplo que escolheu é revelador: um pequeno apartamento de aluguer em Lisboa, equipado com sistemas inteligentes de personalização e preços dinâmicos, pode hoje rivalizar com os grandes hotéis da capital. O investimento já não é proibitivo. O campo de jogo inclinou-se.
Mas esta mudança exige algo que muitas organizações acham profundamente desconfortável: não melhorias incrementais, mas uma transformação do próprio modelo de negócio. Bou-Habib reconhece o paradoxo com alguma ironia — as organizações bem geridas resistem naturalmente ao caos que essa transformação implica, pelo menos temporariamente. No entanto, a alternativa é ficar para trás.
O professor sublinha que preparar pessoas para esta realidade vai além de formar em novas ferramentas. É necessário cultivar uma relação diferente com o erro e a aprendizagem — pessoas capazes de decidir rapidamente, que encaram o fracasso como dado e não como derrota, e organizações que constroem culturas de conhecimento mais ágeis do que as dos seus concorrentes.
Olhando mais longe, Bou-Habib antecipa mercados onde múltiplos agentes de IA negociam diretamente entre si, otimizando resultados em tempo real enquanto os humanos definem os parâmetros. A sua tese central é simples e exigente: a transformação não é opcional — é a condição de sobrevivência. E depende, inteiramente, da disposição das pessoas para mudar.
Nadim Bou-Habib, a professor at Nova School of Business and Economics, has a peculiar dream: his AI agent and those of his students will converse with one another, resolving questions and clarifying problems while he and they sit on a beach somewhere. It's a small image, but it contains something large—a glimpse of how artificial intelligence might reshape not just the tools we use, but the texture of work itself, the rhythm of thinking, the very nature of competition.
Bou-Habib laid out this vision at an event in Lisbon this week organized by UNICRE, speaking to the deeper currents moving through markets and organizations as AI matures. His argument is straightforward but carries weight: the technology is not simply a new tool to be bolted onto existing structures. It is, instead, a fundamental reordering of how businesses compete, who can compete, and what it takes to win.
For decades, the logic of scale dominated. Large companies won because they could standardize, because they could spread costs across millions of units, because size itself was a moat. A small apartment rental in Lisbon could not compete with the Ritz or the Memmo Alfama or any of the capital's established hotels—the gap in resources, in brand, in infrastructure was simply too wide. But AI is collapsing that distance. Now, Bou-Habib argues, that same small apartment, equipped with intelligent systems that can personalize the guest experience, that can price dynamically, that can respond to individual preferences in real time, can stand as a genuine competitor to the grand hotels. The investment required is no longer prohibitive. The playing field has tilted.
This shift demands something from organizations that many find deeply uncomfortable: change. Not the incremental, operational kind—a new process here, a efficiency gain there—but fundamental change to the business model itself. Bou-Habib notes the paradox with some wry recognition: well-managed organizations, by their nature, resist this kind of upheaval. They have systems that work. They have expertise embedded in those systems. To tear them down and rebuild is to invite chaos, at least temporarily. Yet the alternative, he suggests, is to be left behind.
The transformation is not new in its essence, though AI accelerates it dramatically. Digital change began with the first computers. What AI does is complete that arc, bringing it to a point where the human advantage—the ability to make judgments, to see patterns, to decide—is augmented and, in some domains, replaced. The time between analyzing a problem and making a decision collapses. Organizations that can move faster, that can make more decisions with less deliberation, that can learn from failures and adjust course quickly, will outpace those that cannot.
Bou-Habib speaks of preparing people for this reality. Not just training them in new tools, but cultivating a different relationship with error and learning. The future will demand people who can make decisions rapidly, who understand that some mistakes are the price of speed, who see failure not as a terminal event but as data. Organizations, he argues, must build cultures of knowledge that learn faster than their competitors.
Looking further ahead, the competition itself may become something we barely recognize. Multiple AI agents, each representing different interests or products, will negotiate directly with one another—discussing which offering provides the best value to a given consumer, striking deals, optimizing outcomes in real time. Humans will set the parameters and watch the results, but the granular work of competition will happen at machine speed, in machine language.
Bou-Habib's core claim, stated plainly, is this: when we transform the market through AI, we win. The catch is that transformation is not optional. It is the condition of survival. And it depends entirely on people—on their willingness to change, to learn, to embrace uncertainty. The future, he says, belongs to those who understand that their own fate is bound up with their organization's capacity to move.
Notable Quotes
When we transform the market through AI, we win— Nadim Bou-Habib, Nova School of Business and Economics
The small are attacking the large, and the large must begin to personalize their service— Nadim Bou-Habib
The Hearth Conversation Another angle on the story
When you say small businesses can now compete with giants, are you talking about a real shift or just a theoretical one?
It's already happening. A small apartment in Lisbon can now offer a personalized experience that rivals a five-star hotel, without needing to build a five-star hotel. AI handles the personalization, the pricing, the responsiveness. The capital barrier has dropped.
But doesn't the big hotel still have advantages—reputation, location, staff?
They do. But those advantages are no longer insurmountable. And here's the thing: the big hotel now has to compete on personalization, not just on scale. That's a new game for them.
You mentioned that well-managed organizations hate change. Why is that?
Because they've built systems that work. Expertise is embedded in those systems. To change fundamentally is to admit that the old way is no longer sufficient. That's psychologically difficult, even when the evidence is clear.
So what happens to the organizations that don't change?
They get slower. They get outpaced. Eventually, they become irrelevant. The market doesn't wait for you to be comfortable.
You talk about AI agents negotiating with each other. That sounds like humans are being removed from decisions.
Not removed. Repositioned. Humans set the rules, the values, the constraints. The AI executes within those boundaries. But yes, the granular work of competition happens faster than humans can think.