AI in local government: European success stories and challenges

Local governments across Europe are beginning to harness artificial intelligence to enhance their public services, from flood prediction systems to personalised citizen support. A major new study commissioned by the European Committee of Regions and conducted by Trilateral Research and Fondazione FORMIT examines this technological adoption across European local authorities. The findings reveal that while only 27% of local governments have implemented AI solutions, these early adopters are demonstrating significant improvements in public service delivery.

How European local governments are using AI today

The study identifies three primary applications of AI among leading cities. These municipalities are using AI to automate routine administrative tasks, deploy predictive analytics for improved service delivery, and leverage data-driven insights for decision-making.

The city of Kortrijk in Belgium provides an example of  through its Virtual Assistant program. This multilingual platform enables citizens to access government services regardless of their primary language. Built on  widely-used content management systems like WordPress and Drupal, the solution offers a scalable model that other cities can readily adopt.

However, the research reveals a widening technological gap between large and small municipalities. Cities with substantial resources and technical expertise are advancing rapidly in AI adoption, while smaller municipalities face significant barriers to entry. This disparity risks creating an uneven landscape of public service delivery, where citizens' access to enhanced government services depends on their location.

Overcoming barriers to local government AI implementation

Successful AI implementation requires more than technological expertise - it demands meaningful public engagement and trust-building. The city of Nicosia, Cyprus provides a compelling example of this approach through its mobility assistance project for citizens with disabilities.

Rather than beginning with technological solutions, Nicosia's project team first collaborated extensively with disability organisations to understand their specific challenges and requirements. This early engagement transformed potential sceptics into active supporters of the initiative.

The implementation team strengthened public confidence by prioritising data protection and ethical considerations. They partnered with privacy experts and data protection specialists to establish robust security protocols and data handling procedures before deploying the system. This emphasis on protecting personal information helped secure community support for the AI-powered solution.

Building partnerships for successful AI implementation

Regional collaboration and knowledge-sharing frameworks are emerging to support local authorities in their AI adoption journey. The Galicia region in Spain has established a pioneering model by developing Europe's first regional legislation specifically governing AI in local government. This comprehensive legal framework defines standards for AI implementation in public administration, establishes regulatory guidelines, and creates incentives for AI development within the region's research and innovation ecosystem.

Denmark has taken a different but complementary approach by establishing a centralised AI knowledge hub for municipalities. The hub's 'AI Map' catalogues successful municipal AI projects throughout the country, enabling local governments to identify proven solutions and learn from peer experiences. Beyond project documentation, the centre provides municipalities with structured guidance on ethical AI deployment and implementation strategies.

The future of AI in local government

While local authorities are successfully implementing AI for service automation and data analysis, many are hesitant to adopt emerging technologies like generative AI. The research reveals that municipalities are particularly concerned about regulatory compliance, risk management, and ethical considerations when evaluating these newer tools.

Based on these findings, the study recommends three key strategies for local authorities pursuing AI adoption:

• Prioritise citizen engagement through early consultation and user testing to ensure solutions address real community needs
• Establish partnerships with academic institutions and technology providers to access essential technical expertise
• Develop comprehensive governance frameworks that balance innovation with privacy protection and public trust

The study emphasises that successful AI implementation extends beyond technological deployment - it requires a focused commitment to enhancing public services and strengthening communities. Although emerging technologies present compelling possibilities, the immediate priority for local authorities should be implementing proven AI solutions that deliver tangible benefits. While the underlying technology may be sophisticated, the fundamental objective remains straightforward: delivering more effective and accessible public services for all citizens.