Why water must lead the smart city conversation

Urban water resilience has quietly become one of the defining challenges, and opportunities, of modern city-making. When everything is working well, it rarely makes headlines. Water systems are often invisible by design, overshadowed by more familiar urban priorities like transport, housing, or energy. Yet recent years have shown just how central resilient water infrastructure is to the functioning of modern cities, and how critical it is to plan for urban environments that must not only move water but also accommodate it.

Water shapes how cities function, how people experience urban life, and how communities withstand climate change or extreme events, ageing infrastructure, and shifting social expectations. Increasingly, the cities that recognise this, and that use advanced technology powered by AI models and strategy to manage water more intelligently, are the ones setting the pace for urban liveability.

For decades, good water management in cities was understood as hiding water or getting rid of it as quicky as possible. Urban design prioritised full occupation of space. With land and building prices high, the focus was on maximising every square meter, which typically meant more roads, more concrete, and cars. Streams were culverted, stormwater was channelled into pipes, and wastewater was something to be treated and discharged as quickly as possible. This approach created cities that were never designed to work with natural environments. Our cities sit within catchments, we all live in catchments, and most of us live near rivers or along pathways, where water naturally needs to flow. That means we are inherently exposed when climate patterns shift.  Today, flooding, drought, heat stress, and water scarcity are now daily realities for urban authorities around the world.

As many cities have learned, sometimes painfully, water is not a side issue. It is central to resilience. When water systems fail, the impact is immediate:  flooded streets, disrupted services, unsafe environments, and damage rising costs. Water, as many practitioners like to say, “speaks very loudly”. The challenge today is learning how to listen, and how to respond in a smarter, more integrated way as water intersects all areas.

This is where strategy and technology intersect. Smarter water planning is not about isolated projects or one-off investments. It is about rethinking how cities manage water across its entire lifecycle – from design and construction through to operation, maintenance, and long-term adaptation. Digital tools, particularly digital twins and AI data-driven platforms, are becoming essential because they allow cities to understand their infrastructure as living and evolving systems rather than static and siloed assets.

Resilience, in this context, is not about replacing everything that already exists – in fact, it is often the opposite. Most cities are dealing with ageing infrastructure that cannot simply be torn out and rebuilt. The goal is to adapt to existing infrastructure, including the green and blue, increase safety, improve life quality of communities, extend asset life, improve performance, and adapt systems to new conditions. Digital environments make this possible by allowing planners and operators to see how infrastructure behaves in real life, not just on paper.

One of the most transformative shifts enabled by technology is the ability to connect design, operations, and long-term planning into a transparent continuous loop. Historically, infrastructure is designed, built, and then handed over to operators, with limited cross collaboration and feedback between phases. Today, operational data can flow back into design models, allowing cities to learn from real-world performance and refine future decisions. Digital twins are not the end result – they are the foundation for deeper insights and greater maturity in how systems are managed.

Water systems show clearly how this works in practice. Whether managed directly by cities or by utilities working in partnership with them, water systems touch almost every aspect of urban life. In operations, digital twins can help utilities maintain the right pressure, reduce leakage, and optimise energy use. Reducing leaks does more than save water as a natural resource – it also saves energy and reduces carbon emissions, directly supporting climate goals.

Over time, operational insights strengthen strategic planning. If data shows that pressure issues stem from inadequate storage, utilities can test and explore different scenarios digitally. Should a new tank be built? Should an existing one be expanded? Would reconfiguring supply zones solve the problem more effectively? These scenarios can be tested virtually and optimised with AI models, reducing risk  and ensuring that investments deliver real value. The alternative – building first and discovering later that the problem remains – is no longer acceptable, because today we have the tools to avoid it.

Stormwater management highlights an even broader opportunity globally. For example, across Europe, flooding has forced cities and national governments to rethink long-established approaches. In countries like Poland, this has led to large-scale adoption of sponge city principles. The concept is simple but transformative: instead of pushing water away as quickly as possible, cities retain, store, and manage it locally. Green spaces, permeable surfaces, and storage areas become part of a combined system that absorbs water, reduces peak flows, and reduces flood risk.