As AI scales, local government needs to rethink where it runs
Artificial intelligence is becoming part of everyday local government. From drafting reports and summarising meetings to supporting customer services and analysing data, councils are exploring how AI can help manage demand and improve productivity.
The challenge is no longer whether to adopt AI. It is how to deploy it in a way that is sustainable, cost-effective and delivers real value for residents.
Many organisations began their AI journey with small-scale pilots. Cloud-based services made it easy to experiment with minimal upfront investment. But as AI becomes embedded across council services, a new reality is emerging: what works at pilot scale can become expensive at organisational scale.
For local government leaders, three questions should now be front of mind:
- What are we spending?
- What value are we creating?
- Where should each AI workload run?
Understanding the cost
Unlike traditional software, many AI services are consumption based, meaning costs rise as usage increases.
As adoption grows, councils can find themselves managing multiple tools, subscriptions and use cases. Without visibility, it becomes difficult to understand total AI expenditure or identify overlapping capabilities.
At a time of financial pressure, leaders need a clear picture of spending, what drives demand and how usage is likely to grow. This is not about limiting innovation. It is about ensuring public money is spent effectively and delivering measurable returns.
Focusing on public value
Cost is only part of the equation. The more important question is whether AI is improving outcomes.
Too often, success is measured through adoption metrics such as users, prompts or licences. While these figures show activity, they do not necessarily demonstrate value.
For councils, success should be judged by outcomes that matter to residents and staff. Is AI reducing administrative burdens? Is it helping officers spend more time on complex cases? Is it improving responsiveness and enabling services to do more with limited resources?
A tool that saves social workers hours of paperwork each week may provide greater value than one generating thousands of routine interactions with little measurable impact.
Usage is easy to measure. Public value is what matters.
Rethinking where AI runs
Perhaps the most important consideration is where AI workloads should be processed.
Many organisations default to running AI in the cloud. Yet not every task requires the scale or cost associated with large cloud-based models.
Activities such as note-taking, meeting summaries and document drafting can increasingly be handled on modern AI-enabled devices. More demanding workloads involving large datasets or advanced analysis may still benefit from cloud infrastructure.
Rather than adopting a cloud-first or device-first mindset, councils should consider a hybrid approach. Matching workloads to the most appropriate environment can help balance cost, performance, security and data sensitivity.
For authorities handling social care records, housing information and other sensitive data, this can also support wider goals around privacy and resilience.
Governance enables innovation
As AI adoption increases, governance becomes more important. Councils need clear policies covering approved tools, procurement, accountability and budget ownership. Regular reviews should assess both spending and outcomes to ensure investments continue to deliver value.
Good governance is not a barrier to innovation. It provides the confidence and control needed to scale AI responsibly.
The future of AI in local government will not be defined by adoption alone. It will be shaped by informed decisions about cost, value and where AI runs. Councils that get this balance right will be best placed to improve services, strengthen resilience and maximise the return on every pound invested in digital transformation.
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Authors
Tijs Broeke
Tijs is a senior executive with background in tech, infrastructure and security sectors. Leading policy engagement at HP, Tijs advises policy makers on innovation, hybrid working, sustainability, cyber resilience and national security. In addition, Tijs serves as Deputy Chair for the City of London Police Authority – national lead force on cyber security, and as Chair of the London Metropolitan University.
