Cities around the world are increasingly turning to digital transformation as a catalyst for economic growth, sustainability, and improved quality of life. At the heart of this transformation lies the convergence of three powerful assets: buildings, data, and artificial intelligence (AI). When strategically combined, these elements can unlock substantial value, making urban areas more resilient, efficient, and responsive to the needs of their residents. This article explores the insights shared during the panel discussion on unlocking value in cities, examining how a risk-based approach to infrastructure resilience, the role of energy systems, climate finance, and AI-enabled public services are shaping the future of urban environments.
The built environment accounts for a significant portion of a city's energy consumption, carbon emissions, and economic footprint. Modern buildings are no longer just physical structures; they are becoming intelligent nodes within a larger urban ecosystem. By integrating sensors, IoT devices, and smart systems, buildings can generate vast amounts of data on energy use, occupancy, indoor air quality, and structural health. This data, when analyzed with AI algorithms, provides unprecedented opportunities for optimizing performance, reducing waste, and enhancing comfort. For example, predictive maintenance of heating, ventilation, and air conditioning (HVAC) systems can prevent costly breakdowns and lower energy bills. Similarly, smart lighting and automated shading can adjust to natural light conditions, further cutting energy use. The panel emphasized that moving toward a strategic, risk-based approach means prioritizing investments based on potential vulnerabilities and benefits, rather than following one-size-fits-all solutions.
Data is the lifeblood of the smart city revolution. Without robust data collection, integration, and analysis, even the most advanced AI models are ineffective. Cities must invest in data infrastructure that ensures interoperability across different systems and departments. Open data platforms allow citizens, businesses, and researchers to access information and develop innovative applications. However, data governance is equally critical. Issues of privacy, security, and equity must be addressed to build trust and ensure that benefits are shared broadly. The panel highlighted that data silos remain a major barrier; when building management systems, transport networks, and energy grids operate independently, the full potential of AI is lost. A unified data strategy enables cities to create digital twins — virtual replicas of physical assets that allow simulation, monitoring, and optimization in real time. Digital twins of buildings and entire districts can test scenarios for energy retrofits, emergency response, or traffic management before implementing changes in the physical world.
AI is transitioning from pilot projects to everyday practice in city operations. Machine learning models can forecast energy demand, optimize waste collection routes, detect water leaks, and predict equipment failures. In public safety, AI-powered video analytics can identify traffic incidents or suspicious activities, though careful design is needed to avoid bias and protect civil liberties. The panel acknowledged that AI's greatest opportunities depend on strong data foundations, workforce readiness, and responsible governance. Training city employees to work with AI tools and interpret their outputs is essential. Moreover, ethical frameworks must guide the deployment of AI to ensure transparency and accountability. Katherine Flesh from Microsoft was cited during the discussion: as transport agencies turn to AI to improve services, success hinges on data quality staff skills, and governance protocols that maintain public trust.
Energy systems are another critical area where cities can unlock value. Local authorities have a unique ability to shape energy markets through renewables, flexibility programs, storage solutions, and smarter networks. By integrating building-level solar generation with community battery storage and demand response programs, cities can reduce strain on the grid during peak times and lower costs for everyone. The panel explored how municipal procurement can be a lever for building local capacity and resilience. Sam Markey, founder of Recurve, argued that strategic procurement is one of cities’ most underused tools for achieving long-term climate impact. By specifying energy performance standards in contracts, cities can drive demand for efficient technologies and create markets for innovative solutions. This approach not only reduces operational costs but also supports local jobs and expertise.
Climate finance remains a significant challenge for many municipalities. The upfront costs of retrofitting buildings, deploying renewables, and installing digital infrastructure can be daunting. Yet, the long-term savings and co-benefits — such as improved health, reduced inequality, and enhanced attractiveness for businesses — often outweigh the initial investments. The panel discussed innovative financing mechanisms, including green bonds, public-private partnerships, and performance-based contracts that tie payments to verified energy savings. Data and AI play a crucial role here by providing the evidence needed to attract investors and measure outcomes. For instance, building performance data can be used to create energy efficiency certificates that are traded or used as collateral for loans.
Real-world examples illustrate the potential. Sunderland’s repositioning as a leading smart city demonstrates how digital infrastructure and low-carbon innovation can build a resilient, future-focused economy. The city has invested in a fiber-optic network, a digital twin of the city center, and smart street lighting with integrated sensors. These technologies support traffic management, environmental monitoring, and public Wi-Fi, creating a foundation for new services and businesses. Similarly, Dublin has innovated to improve experiences and services for its communities through digital twin projects, traffic reduction initiatives, and support for economic growth. These cities show that a coherent, place-based strategy connecting people, data, infrastructure, and investment is key to lasting impact.
Transport is another domain where AI is creating value. As agencies adopt AI for route optimization, predictive maintenance, and demand-responsive scheduling, the greatest benefits emerge when strong data foundations are in place. Workforce readiness is essential — staff must be trained to work alongside AI systems and use data-driven insights effectively. Responsible governance ensures that AI applications are fair, transparent, and aligned with public values. The panel emphasized that cities should start by identifying specific pain points and then deploy AI solutions that deliver measurable improvements, rather than pursuing technology for its own sake.
Lighting infrastructure, often overlooked, offers a pathway to smart city capabilities. Modern streetlight networks can be turned into secure, interoperable, and future-proof platforms. By adding sensors and connectivity, lampposts become nodes for monitoring air quality, tracking noise levels, counting pedestrians and vehicles, and providing Wi-Fi. The second episode of the series on cities thriving with lighting highlighted the cybersecurity risks that come with increased connectivity. Cities must ensure that lighting networks are designed with security in mind, including encryption, regular updates, and incident response plans.
The panel concluded that the future of cities will be defined by the ability to connect people, data, infrastructure, and investment into coherent strategies. No single solution will work for all; each city must adapt principles to its unique context. However, the common thread is the need for strong partnerships among government, industry, academia, and communities. By adopting a risk-based, strategic approach to infrastructure resilience, leveraging data and AI, and rethinking procurement and finance, cities can unlock immense value from their buildings and urban systems. The discussion at the summit demonstrated that many cities are already on this path, but scaling up will require continued commitment, innovation, and collaboration across sectors.
Source: Smart Cities World News