The Perils of AI Planning Objections

At Objection Experts, we specialise in preparing professional, evidence-based planning objections that carry real weight with local authorities and inspectors. Recently, we’ve seen a sharp rise in people using AI tools like ChatGPT to write planning objections. Our extensive testing has shown that AI consistently produces inaccurate, misleading, and poorly reasoned submissions.

If you want your objection to stand up to scrutiny and make a real difference, it’s vital to understand the risks of relying on AI and the advantages of using a qualified planning consultant instead.

AI doesn’t understand drawings, scale, or context. When reviewing plans, it regularly measured distances, heights, and relationships between buildings incorrectly.

Planning objections rely on accuracy. If those fundamentals are wrong, the entire argument is undermined.

AI can only comment on what it’s given. It cannot identify site constraints that aren’t visible in the documents it analyses. This means it often overlooks:

• Planning history.
• Tree constraints and root protection zones not included within any plans
• Ecological habitats and protected species that documents do not refer to.
• Drainage or flood risk issues that applicants have ignored.
• Access and highway visibility limitations that the plans fail to show.
• Neighbouring character or land uses not shown on drawings.

As part of our service, we examine aerial photography, mapping data, and site context to identify constraints that the applicant may be trying to hide. AI simply cannot do this.

AI tools are prone to “hallucinations”, confidently inventing appeal decisions, High Court cases, and even paragraphs of policy that don’t exist.

We’ve seen examples where AI cited appeal references were completely fictitious, pulling quotes out of thin air with made up appeal references and High Court decisions.

This is already an issue in the courts; The SRA and Law Society have warned that unverified use of AI can breach duties of competence, and honesty and have highlighted real cases of fake citations reaching UK tribunals.

Such errors instantly destroy credibility with planning officers and inspectors, rendering the objection useless, and in some cases, actively harmful to your case.

AI often quotes obsolete versions of the National Planning Policy Framework (NPPF) and withdrawn local plan policies. Because it relies on historic data and documents which have already been written, it cannot reliably distinguish between current and superseded policy. We recently had a case where an AI tool that a customer had used before coming to us referenced a policy document from a completely different Council on the other side of the country!

A sound planning objection must be based on up-to-date national and local policy. Anything else carries no weight in decision-making.

Even when AI identifies the correct policy, it frequently misunderstands its meaning. It might treat guidance as policy, overstate the weight of draft plans, or ignore important caveats and context.

Planning policy is nuanced and requires professional judgement. AI cannot provide that.

At Objection Experts, we do more than write objection letters. We review and interpret planning applications and technical reports. We identify relevant local and national policies. We prepare formal written objections and representations. We liaise with planning officers where appropriate. And we advise on next steps, including appeals or committee representations.

You stay in control while we make sure your case is heard with maximum impact.

AI doesn’t have a conversation with you. It can’t explore different approaches, ask the right questions, or identify overlooked opportunities that can make or break a case. AI is only as good as the information you feed it, and if you don’t know what is relevant, you may be missing a significant argument which could instantly have an application refused.

At Objection Experts, we regularly identify strategic arguments that AI would never uncover.

For example, we recently achieved the refusal of a new agricultural building in the Green Belt by identifying that several existing farm buildings on the landholding had been both lawfully and unlawfully converted. This undermined the applicant’s claimed agricultural need and strengthened our case against inappropriate Green Belt development. Our client mentioned this in an offhand comment, but due to our experience, we instantly knew it was the killer blow needed to seal refusal.

AI would never have identified that argument, wasn’t visible on the plans or mentioned in the documents, and our client didn’t even know it was a reason to object!

AI generated planning objections can look impressive but are often shallow, inconsistent, and easily dismissed. They lack the depth of analysis, evidence, and policy interpretation needed to persuade a planning officer or inspector.

A professional objection, on the other hand, is built on clear reasoning, accurate evidence, and current policy, giving it far more credibility and influence.