But as smart city programmes move from concept to construction, and from delivery into operation, the central challenge is shifting. The question is no longer simply whether the right technologies are available. It is whether cities are being set up to convert those technologies into better decisions, stronger services and measurable outcomes over time.
The next smart city challenge is operational, not just digital
Smart city success is often associated with visible markers of progress: platforms installed, dashboards created, sensors deployed and data captured. These are important enablers, but they do not automatically make a city smarter.
The more important measure is whether digital investment improves how a city functions: how quickly it responds, how effectively services are coordinated, how infrastructure is managed and how people experience the urban environment.
This is where many programmes encounter their most difficult questions. Systems can be procured and assets can be delivered, yet operational value depends on the less visible foundations around them: ownership, accountability, governance, skills, processes and the ability to apply data to real decisions.
Data interoperability is a good example. On the surface, it can appear to be a technical issue. In practice, it often exposes deeper operating questions: who owns the data, who is responsible for its quality, who can act on it, and how it informs day-to-day city management.
Without that clarity, technology can add complexity rather than unlock performance.
Readiness has to be embedded before handover
Operational readiness is often approached as a final-stage activity, addressed once assets, suppliers, contracts and technology systems are already in place. By then, however, many of the decisions that shape how a city will function have already been made.
Processes may be fixed, roles may remain unresolved, and technology choices may have created ways of working that are difficult for operators to adapt once the city is live. What appears efficient during delivery can create friction in long-term operation.
The result can be overlapping responsibilities, duplicated platform functionality, higher whole-life costs and digital solutions that no team is clearly mandated, resourced or equipped to manage. In more complex environments, operational requirements may not be fully reflected in design, creating facilities, systems or back-of-house functions that do not support the performance expected once the city is in use.
This is why readiness should not be treated as a handover workstream. It should be a design principle, shaping decisions on systems, governance, services, capabilities and commercial models from the beginning.
When operational thinking is introduced early, cities are better positioned to scale, adapt and respond to changing needs without carrying unnecessary complexity into the future.
Smarter outcomes require connected disciplines
A smart city is not a technology layer placed on top of an urban environment. It is the product of many disciplines working around a shared operating vision, including planning, infrastructure, transport, buildings, energy, environment, asset management, digital advisory and operations.
That connection matters from the earliest stages. Planners need sight of the services a city must enable. Engineers need clarity on the performance outcomes assets must support. Digital specialists need to shape data environments around real operating needs. Operators and asset managers need a voice in the systems and conditions they will inherit.
Artificial intelligence and automation add another layer to this discussion. They can support predictive decision-making, optimise workflows and improve responsiveness, but they also increase the need for robust governance and clear human accountability.
For AI-enabled cities to deliver value responsibly, they need strong data stewardship, defined decision rights, clear operating models and the capability to interpret insights in context. The more advanced technology becomes, the more important these foundations are.
For the Middle East, the opportunity is significant. Because many urban programmes are being developed, expanded or transformed at speed, the region can move beyond retrofitting smart solutions and instead embed operational intelligence into the fabric of city planning from the start.
