Technology and Urban Intelligence

The Knowledge Problem of Smart Cities

The concept of a smart city is built upon a paradox: the more urban life is translated into data, the more difficult it becomes to understand what cities actually are.

Across the world, governments and corporations increasingly promise a future in which digital technologies will render cities more rational, efficient, and sustainable. From the first initiative of IBM in 2009 of “Smarter Planet” to the current Woven City in Japan made by Toyota, it is promoted that residents, buildings, vehicles, cameras, robots, and infrastructure integration will be the paradigm of the future. In the 15th Five-Year Plan of China (2026–2030), the priority to the development of “smart homes, mobility and communities” is firmly established. At the heart of it all, informational systems, by the use of sensors and computational intelligence, are promised to optimize nearly every dimension of urban life. In this way, we are told, the city can finally become “smart.”

Yet beneath this optimistic rhetoric lies a profoundly questionable assumption: that the central problem of cities is primarily a lack of measurable information.

This assumption misunderstands both cities and human beings.

The most important forms of urban knowledge are often precisely those that cannot be centralized, quantified, or digitally processed. Cities are not merely technical systems composed of flows and metrics. They are living social environments shaped by memory, perception, habits, trust, informal relationships, local customs, embodied experience, and countless forms of tacit understanding that emerge organically within communities themselves.

The smart city concept frequently treats this tacit knowledge as incidental because they resist technical standardization. But it is exactly these dimensions that make urban life intelligible in the first place.

The promise of smart urbanism rests on the belief that technological systems can compensate for the limitations of human judgment. Since planners and administrators cannot directly perceive the immense complexity of urban life, digital infrastructures are introduced as instruments capable of producing superior forms of coordination and control.

Urban challenges are increasingly interpreted, therefore, as informational problems.

Traffic congestion, energy use, public safety, waste management, mobility patterns, consumer behavior, and even social interactions are progressively converted into streams of machine-readable data. Once translated into data, the theory goes, these phenomena can supposedly be analyzed objectively and administered rationally through centralized systems of management.

But this viewpoint overlooks a fundamental problem identified long ago by Friedrich von Hayek: knowledge in society is inherently dispersed.

The practical knowledge that sustains social life does not exist in concentrated form waiting to be collected by administrators. It exists diffusely among millions of individuals, embedded within particular places, circumstances, traditions, and lived experiences. Much of this knowledge is tacit rather than explicit. People often know far more than they can formally articulate.

Residents understand their neighborhoods through familiarity accumulated over years of daily life. They know which spaces foster coexistence, which streets feel unsafe despite favorable statistics, where informal cooperation emerges naturally, and how social rhythms change throughout the day and across seasons. This knowledge is contextual, historical, and inseparable from direct personal experience.

No technological system can fully aggregate such forms of understanding without simultaneously abstracting away the conditions that give them meaning. A city is not encountered as a collection of measurable variables, but as a lived world disclosed through memory, habit, perception, and embodied experience. Digital systems can record movements, transactions, and behavioral patterns, just as physiological instruments can measure tears, hormonal activity, or neural responses. Yet the measurable traces of an experience are not identical to the experience itself. The sadness expressed through tears, for instance, cannot be reduced to the biological processes that accompany it.

By the same token, a musical composition cannot be truly understood as a sequence of higher and lower sound frequencies interspersed with pauses. While these elements can be measured, they do not constitute the meaning of the music as experienced by the listener. Music is an orchestration of the audible perceptions interpreted through a background of largely unconscious memories and associations. Its experience stems from evolutionary history, imagination, and personal projections.

Likewise, the meaning of a neighborhood cannot be exhausted by the data generated within it. In translating lived realities into quantifiable information, something essential is inevitably left behind: the embodied human experience through which those realities become meaningful in the first place.

The central illusion of the smart city is the belief that more data necessarily produces greater intelligence.

Certainly, digital technologies provide useful tools. They can improve infrastructure management, reduce inefficiencies, optimize transportation systems, and support environmental monitoring. None of this should be dismissed. The problem emerges when technological measurement begins to replace rather than assist human judgment.

Data can reveal patterns. It cannot independently determine significance.

A city may successfully optimize circulation while undermining public life. It may maximize efficiency while weakening belonging. It may reduce operational costs while intensifying psychological exhaustion, social atomization, or civic passivity. In such cases, what appears technically successful may in fact represent a deeper human failure.

The difficulty is that many of the most essential qualities of urban life resist quantitative representation altogether: How can the trust between neighbors be measured? Or the psychological importance of silence, beauty, or memory? Is it at all possible to quantify the civic value of encounters or local identity?

These dimensions remain largely invisible to systems designed primarily around metrics and optimization, yet are indispensable to any genuine human city.

Smart cities also reflect a broader technocratic tendency characteristic of modern societies: the desire to reduce political and social questions into purely administrative ones.

Urban governance increasingly becomes framed as a matter of technical management rather than public judgment. Citizens are transformed into users, reduced to data points whose behavior must be coordinated efficiently by experts and systems designers. Political disagreement becomes interpreted as inefficiency. Social complexity becomes something to be managed rather than lived.

This shift carries profound implications.

The more cities are understood through technical abstraction alone, the more difficult it becomes to preserve democratic participation and local autonomy. Decisions gradually migrate away from communities and toward centralized networks of planners, consultants, corporations, and algorithmic systems operating at enormous scales. Society becomes what has been called “post-political,” and perhaps even “post-democratic.”

This is precisely why Hayek’s critique remains so relevant today. The problem with centralized systems is not merely moral or political; it is epistemological. No administrative apparatus, regardless of computational power, can fully possess the dispersed knowledge continuously generated throughout society.

Attempts to overcome this limitation frequently produce a dangerous inversion: instead of adapting institutions to the complexity of human life, human life becomes pressured to conform to the operational logic of technical systems.

Urban life unfolds through embodied existence, not through abstract informational processes alone. This is why purely technocratic urbanism tends to produce environments that feel strangely inhuman despite their operational sophistication. The problem is not technology itself. Technological development is neither inherently liberating nor oppressive. The problem emerges when technology ceases to function as an instrument subordinated to human purposes and instead becomes the framework through which human life itself comes to be interpreted.

At that point, cities risk becoming systems optimized for administration rather than environments capable of sustaining human flourishing.

The deepest questions facing cities cannot be answered technologically because they are not fundamentally technical questions.

Questions like: What is a city meant for? What is the ideal urban life? What kind of human beings should cities cultivate? These are philosophical and political questions before they are technical ones.

A society that forgets this may become capable of managing infrastructure, but lose the ability to articulate what ultimately makes cities human in the process.

The future of urban life therefore depends not merely on improving technological systems, but on recovering intellectual humility regarding the limits of technical knowledge itself.

Smart cities become dangerous precisely when they forget that cities are not machines; they are the projection of human inner worlds.

Felipe Camolesi Modesto is an Italian-Brazilian architect and urbanist interested in urban experience, governance, and the human condition. He is a member of the Young Talents for Liberty at Instituto Millenium.