TL;DR
Google DeepMind has announced a Gemini-based planning assistant, built with the UK government, that helps council planning officers process applications faster — extracting site data, citing the relevant policies, summarising objections and drafting the officer's assessment. Officers still make every decision.
It is not a tool for buyers, it is not a public product or API, and it is in early trials at just three councils — Barnet, Camden and Dorset — with a national rollout targeted for 2027.
For homebuyers the headline ("faster planning") matters less than a quieter detail: the same programme is digitising councils' legacy planning paperwork into structured data. Over time that makes the planning record you rely on when buying a home more complete — which is exactly the record a property due-diligence report is built on.
What was actually announced
The prototype is a "highly skilled assistant for planning officers." On a routine application it:
The crucial line: planning officers retain full decision-making authority and review everything before approving or refusing. It is aimed squarely at householder applications — extensions, loft conversions and the like — which are nearly 70% of all planning submissions and the bulk of the backlog. The stated aim is to cut decision times by around 50%.
For scale: England's councils handle on the order of 350,000 planning applications a year against an 8-week statutory decision target they routinely miss, with roughly 40 planning officers per authority (MHCLG planning-capacity figures). Clearing that householder backlog is where the time savings are meant to come from.
What it changes for buyers — and what it doesn't
Be clear-eyed about this: a tool that helps a council *decide* an application does nothing to help a buyer *assess* a property. The two jobs are different.
What might genuinely improve for you:
One caveat on that speed. Faster *processing* isn't the same as a faster *decision on your purchase*. Commentary on the rollout flags two ways the gains can leak away: councils may pocket the efficiency by cutting planning-officer numbers rather than shortening turnaround, and paperwork that's easier to digest can invite longer, AI-written applications. Treat a quicker decision as possible, not promised — if a property you're eyeing has a live application, check its actual status rather than banking on the timeline.
What does not change:
Why this is good news for the data underneath your search
Everything PostcodeProperty shows you about a property's planning context — recent and historic planning applications within a few hundred metres, conservation-area boundaries, listed-building status, tree preservation orders — comes from official open data, chiefly Planning Data UK (planning.data.gov.uk) and Historic England.
The weak point in that data has always been coverage: some authorities publish rich, structured feeds; others have decades of decisions trapped in PDFs. A national push to digitise that backlog is, for a due-diligence platform, the most useful part of the whole announcement. As councils' records become machine-readable, the planning picture you get for a postcode gets more complete — automatically, with no change on your side.
What a buyer should actually do today
The AI isn't going to check a property for you, and won't for years. The boring, effective move is the same as it has always been — just do it *before* you offer, not after your solicitor's searches come back weeks later:
The honest summary
DeepMind's planning AI is a real, sensible piece of public-sector infrastructure — aimed at the people who decide applications, not the people who buy homes. As a buyer you can't use it, you won't see it, and it doesn't reduce your need to check a property properly.
But the digitisation effort riding alongside it should, slowly, make the planning record more complete — and a more complete record is the foundation everything on PostcodeProperty is built on. We'll be watching which councils' data gets richer, and folding it in as it lands.
*Sources & further reading: Google DeepMind, "Unlocking UK house building with AI-accelerated planning" (2026); James O'Malley, "Build, Gemini, Build" for the technical and policy detail — Extract's Gemini + "Segment Anything" + "MatchAnything" pipeline, the £8.2m Augmented Planning Decisions programme, and the application-volume context. Trial councils, rollout timing and the headline figures are as stated by those sources; the ~350k-applications / 8-week / ~40-officers figures trace to MHCLG planning-capacity data. This article is independent commentary for homebuyers and is not affiliated with Google DeepMind, MHCLG or the UK government.*