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Councils across the UK are increasingly turning to artificial intelligence to reduce costs as local government faces a financial shortfall of around £4bn, with experts warning that technology cannot provide a standalone solution to mounting pressures on essential services. The move comes as authorities confront rising demand for adult social care, children’s services, homelessness support and special educational needs while making billions of pounds in planned savings.
A BBC Shared Data Unit analysis found that almost all UK local authorities are preparing to reduce services during the current financial year. The 218 upper-tier councils, including county, metropolitan, borough and unitary authorities, are collectively planning around £3.2bn in cuts.
The measures range from reducing the frequency of bin collections and closing heritage attractions to withdrawing bus routes and cutting support for vulnerable residents. Dozens of councils are also increasing charges for services such as parking permits and garden waste, while almost every authority is expected to raise council tax by the maximum permitted 5%.
Against this difficult financial backdrop, councils are examining artificial intelligence as a way of automating administrative work and reducing operating costs.
Medway Council is among the authorities planning to use AI to assist with drafting care plans and processing invoices. Elsewhere, councils are introducing automated chatbots to handle initial enquiries, potentially reducing pressure on customer service teams dealing with council tax, bin collections and social care assessments.
West Sussex County Council expects an AI-based contact centre to replace nine call-handling positions and generate savings of about £300,000 a year.
The use of AI is also being explored by councils seeking efficiencies in social care, where rising demand has placed significant pressure on budgets and staff.
However, local government specialists argue that the savings generated by AI remain relatively modest when compared with the scale of the financial challenge.
Jonathan Carr-West, chief executive of the Local Government Information Unit, said councils were struggling with rapidly increasing demand and costs, particularly in adult social care and children’s services.
The Local Government Association has also warned that councils will require substantially more funding simply to maintain existing services if current cost and demand trends continue.
The expansion of AI-powered customer services has raised concerns among organisations representing older people, particularly where automated systems become the first point of contact for residents seeking help.
Dennis Reed, director of the Silver Voices campaign group, said people seeking social care could be confused or distressed and may find automated systems difficult to navigate.
The concerns are not entirely theoretical. Derby City Council's AI chatbot, Darcie, previously attracted complaints after users reported difficulties with its ability to understand the local accent.
For older residents who are already less confident with digital technology, campaigners fear that replacing human contact with automated systems could make it harder to access essential public services.
Denise Rowley, a 71-year-old former IT teacher from Leeds, has previously relied on Wakefield Council's Carelink service following a stroke. She has expressed concern that increasing reliance on AI could make public services less accessible to older people.
The most sensitive debate concerns the use of artificial intelligence in social care assessments. Councils and care providers are already using AI to produce case notes, analyse records and identify potential risks, including falls.
Some authorities are now using or exploring AI-assisted systems to draft care assessments, which document an individual's needs and can influence decisions over publicly funded support.
Andrew Reece, strategic lead at the British Association of Social Workers, has warned that AI should support social workers rather than take over professional judgement.
The distinction is significant. Using technology to record conversations or organise information can reduce administrative workloads, while allowing an automated system to influence assessments could affect decisions about the care vulnerable people receive.
Derby City Council has said AI-generated assessments are reviewed by a social worker before they are finalised. However, research by the Ada Lovelace Institute found that AI tools used in care assessments could produce errors, with some mistakes subsequently appearing in completed reports.
For Daily Dazzling Dawn, the issue highlights the central question facing councils: whether AI can genuinely improve services without compromising accuracy, accountability or meaningful human contact.
The financial figures illustrate why councils are searching for new ways to reduce expenditure. Even after planned savings are implemented, authorities expect to face a further £3.8bn funding requirement by the end of the 2027-28 financial year.
A record 37 councils are also expected to receive forms of exceptional financial support this year, underlining the severity of the budgetary pressures confronting local government.
Yet individual AI projects often generate savings that are small compared with wider funding gaps. Liverpool City Council, for example, expects its use of AI to improve efficiency in children's social care to save around £150,000 by the end of the 2027-28 financial year, against an overall budget gap of more than £29m.
Carr-West has therefore argued that AI should not be viewed as a single answer to the sector's financial problems. While technology can reduce some administrative costs, the potential savings remain limited compared with the scale of rising demand.
The UK Government has encouraged councils to use artificial intelligence safely and responsibly where it can reduce workloads and improve efficiency.
Local authorities across England and Wales are continuing to examine digital transformation, automation and redesigned services as they attempt to balance increasingly difficult budgets.
The wider challenge, however, extends beyond technology. Councils must determine how far automation can be introduced while maintaining accessible public services, protecting vulnerable residents and ensuring that decisions involving people's welfare remain subject to appropriate professional oversight.
With billions of pounds still required to balance local government finances, AI is likely to become an increasingly visible part of council operations. But the evidence so far suggests it will be one component of a much broader response rather than a substitute for sustainable funding.
