Market Insight

AI in the UK Planning System: What it could mean for planners and future development

The planning system in the UK is under immense pressure. Local planning authorities (LPAs) are often overstretched, with limited resources and growing workloads.
November 26, 2025
AI in planning
The planning system in the UK is under immense pressure. Local planning authorities (LPAs) are often overstretched, with limited resources and growing workloads.

Against this backdrop, the government has announced a bold initiative: the introduction of artificial intelligence to support the planning process.

By spring 2026, AI tools are expected to be available to councils across England, designed to read and summarise planning documentation, digitise historic records, and speed up the handling of applications.

For developers, landlords and occupiers, this could represent one of the most significant changes to the planning landscape in decades, as Planning Technician, Abin John, explores.

 

What’s being proposed?

The government’s programme, developed in partnership with Google DeepMind, will see AI systems deployed to scan and analyse planning documents in seconds.

Instead of officers manually trawling through hundreds of pages of reports, the AI will extract key information and provide concise summaries for case officers to work from.

Alongside this sits Extract, a tool being trialled to unlock historic planning data. For many local authorities, archives remain locked away in scanned images, handwritten notes and annotated PDFs that are barely searchable.

Extract is designed to transform that material into structured, accessible data. In practice, this means that decades of site history and precedent can be made instantly available to planning officers, helping to inform decisions more consistently. The initiative was confirmed in a government news release in mid-2025.

How could this change planning and development?

Faster validation

One of the biggest frustrations for applicants is the stop–start cycle of validation, where missing or unclear information can cause delays of weeks or months.

AI has the potential to streamline this process by identifying gaps in planning submissions more quickly, allowing developers to respond promptly and keep applications moving. However, you would still need an element of human interaction in this process, as Abin explains:

“AI-powered validation could reap some benefits, but it is worth remembering that in some instances, owing to the particular site or context, standard validation requirements may not fully apply. Instead, more nuanced approaches might be needed.

“This is where human interaction with planning officers can remain key to completing the process, so either way, you would need an element of human interaction with the validation process to oversee it all.”

More time for judgement

By taking on the heavy lifting of document review, AI could free up case officers to focus on what really matters: The interpretation of planning policy, the quality of design, and the negotiation of solutions. This shift in emphasis should create a more efficient and outcomes-focused planning process.

Unlocking historic context

Digitised records means that site histories, past constraints and relevant decisions could be accessed in seconds. For developers and occupiers, this could mean fewer surprises late in the planning process and a clearer sense of how proposals are likely to be received.

A more transparent system

Turning semi-structured PDFs into usable data also paves the way for dashboards and performance monitoring, making it easier to track applications and understand how councils are performing. In time, this could help foster greater transparency and accountability across the planning system.

Potential to support Local Plan Drafting

The drafting of new Local Plans can be incredibly onerous with some taking up to 60 months to prepare. The government wants to see this halved to 30 months through the 30-Month Local Plan Timetable, but could AI improve that further?

Local Plans tend to be based on a similar format and structure, irrespective of the Local Authority, so with the write prompts and information input into an AI tool, could the drafting of Local Plans cut this timescale further still?

“Clearly, local planning authorities would still need to review and input into the process, but if the majority of the heavy lifting could be done through AI, it could release a significant amount of resource back into the planning system,” commented Abin.

What does this mean for developers, landlords and occupiers?

For those preparing planning applications, the message is clear: Structure matters.

Submissions that are clearly written, well-labelled and machine-readable are more likely to move through the system smoothly. Poorly scanned PDFs or sprawling, unstructured reports could slow progress if AI systems struggle to interpret them.

There is also an opportunity to get ahead. By providing concise executive summaries and adopting consistent formatting, applicants can ensure their material is easily digestible not just by AI, but by officers too. In a system under pressure, clarity is likely to be rewarded.

For landlords and occupiers, the hope is that applications relating to refurbishment, change of use, or expansion will move faster through the pipeline. Speedier decision-making could reduce holding costs and provide greater certainty for investment planning.

Where are the risks of AI in the planning process?

Introducing AI into planning is not without its challenges. There are concerns about bias and error, with AI potentially oversimplifying complex issues or misinterpreting technical material.

For this reason, the government has emphasised in its AI Playbook that humans will remain firmly “in the loop,” with planning officers retaining responsibility for all judgements.

According to Abin, there is also a risk of AI affecting future planning competence and this will be something that the RTPI will need to take into account as part of their Code of Conduct:

“AI has incredible potential, but we mustn’t forget the potential risks, particularly if future planners come to rely too heavily on it. It is not impossible to imagine a time when young planners of the future are derailed from becoming competent, as a result of an over reliance on insights generated through AI. This will be something that the RTPI will need to monitor as use of AI in planning evolves.”

Abin John, Planning Technician, Vail Williams LLP.
Transparency will also be critical. Communities and applicants must be able to see what role AI played in the process, and how final conclusions were reached.

Parliamentary committees have also raised concerns about capability and governance, urging that ambition must be matched by investment in skills and oversight.

According to Vail Williams, there are practical risks too. Planning documents often contain personal or commercially sensitive information, so robust data protection and security standards will be essential. And readiness will vary between councils. Some authorities are well-prepared for digital innovation, while others lack the infrastructure or resources to make the most of these tools.

In the short term, this may create an uneven playing field, with some applications moving faster than others depending on the local authority involved.

Trials are also exploring whether AI could help synthesise consultation responses, managing thousands of representations more effectively. While this could save councils significant time, it also raises questions about ensuring that all voices are fairly represented and not “averaged out” by an algorithm.

Strong governance will be key

AI has the potential to reshape the planning process, reducing delays and free up officers to focus on the aspects of planning that require genuine human judgement.

For developers, landlords and occupiers, the change could mean smoother validation, more consistent decision-making, and greater transparency.

But success will depend on careful implementation, strong governance, and a commitment to keeping people – not machines – at the heart of the system.

Innovation should be embraced, but we need to take care to ensure that it is the right type of innovation, and that unintended consequences are anticipated, as far as possible. Those who adapt their planning submissions to work with new AI tools will be best placed to benefit, as the planning system enters a new digital era.

Vail Williams’ planning team will continue to closely monitor these developments as they unfold, keeping our clients informed of the latest changes and what they mean in practice.

If you would like tailored advice on how these updates could affect your projects or property interests, please get in touch with our planning team.