
Neural networks and interior design: what AI already does and what it can't replace
Author
Aleksey Gusev
Published
Reading time
5 min
An AI model does one thing confidently: it produces an image. In minutes it assembles a mood, a palette and the composition of a shot, and at the search stage that makes it a useful tool. What it doesn't do: it doesn't measure your room, doesn't know where the ventilation stack runs, doesn't check whether a sofa will fit between the window and the doorway, and doesn't produce a drawing you can build from. The difference isn't the quality of the picture but the nature of the result: AI creates an image, while a design project is a set of commitments with dimensions.
Can an AI model replace a design project?
An AI model produces an image: a mood, a palette, a shot's composition. Quickly, and often convincingly.
A design project is a set of commitments with dimensions: plans, setting-out references, junction details and specifications, used to order materials and carry out the work. Everything of substance in a studio's work lies between the image and the project: the measured survey, the engineering, the layout, the technical documentation.
So the “will it replace it or not” debate is not quite the right question. AI has already made the search for an image much faster and is gradually moving into the next stages: reading drawings, selecting materials, the routine side of documentation. For now, though, it does not replace a project as a system of decisions, documentation and responsibility for the result.

Where an AI model genuinely helps
At the start, before meeting a designer. Trying out ten different moods in an evening and working out what resonates is a genuine time-saver. After this kind of preparation, the technical brief comes out more precise, and the conversation more concrete.
When a feeling can't be put into words. “I want it calm, but not boring” is a phrase everyone understands differently. A picture removes that ambiguity in a second.
For trying out a colour idea quickly. Seeing how a dark living room or a green kitchen would feel is useful before the idea gets discussed seriously.
In all three cases, the AI's output is an entry point into the conversation, not its conclusion.
More and more people bring collections like these to a first meeting, and on the whole that's a good thing: instead of a vague “I want it to look nice”, they arrive with material we can discuss in concrete terms. Then comes the most useful part. We work out which of these images can actually carry over to a specific room and which exist only as a beautiful picture.
What an AI model doesn't do
It doesn't know your room. It has no measurements, no ceiling height, no window positions, no opening widths. A generated view can look convincing and still be physically impossible in a specific room.
It doesn't see the engineering. Where the stack is, where ventilation can be routed, what the allocated power capacity is, where a load-bearing wall runs: none of this is in the picture. Yet this is what shapes the layout, before aesthetics come into it. How much it matters is shown in the article “Ventilation in a designer renovation”.
It doesn't give you dimensions. You can't order furniture, calculate tile quantities or place a socket from an image. All of that lives in the technical documentation, the most extensive section of the project.

It doesn't answer for the result. If a solution doesn't come together on site, the picture has no author to discuss it with.
How to check there is a real project behind an image
A single image is no longer always enough to tell a generated picture from a photograph with confidence: generators have become noticeably cleaner, and interior photography is almost always retouched. Indirect signs still work and can save time:
- Joins. Generated images often have tile and parquet junctions that drift, corners that don't meet and a pattern that doesn't continue across a seam.
- Sockets and switches. Either they are missing altogether, or they are placed with no logic to how they'd be used.
- Light. Lit surfaces with no visible source, shadows falling in different directions.
- Furniture proportions. A two-seat sofa that's four metres long, a chair taller than the table.
But these are hints, not a diagnostic test. It's more reliable to check the trail a project leaves than the picture itself: the floor plan, other views of the same room, technical drawings, photographs taken during construction and of the finished interior.

What this means for a design project
The conclusion is simple: an image can start the conversation, but design decisions are made on drawings, dimensions and specifications. In an interior design project the visualisation is built on the real geometry of your room, with real dimensions and the real materials from the specification, so a revision to it means a revision to the project, not to a picture.
What exactly is included in the set, and why the technical documentation is its most extensive part, is covered in the articles “What's included in an interior design project” and “What makes up the price of a design project”. The documentation itself can also be commissioned separately: technical documentation.
If you've already put together an image using an AI model
That's a good starting point, so bring it to a consultation. Within an hour it becomes clear what from your collection can carry over into your room's geometry, what will need a reconfiguration and what the engineering rules out. Generation gives you an image. A consultation turns it into a technical brief.

Questions
Frequently asked questions
Can AI create an interior design project?
It can produce an image, but not a project. A design project is a set of documents with dimensions: demolition and installation plans, electrical, ventilation and plumbing layouts, wall elevations, construction details and specifications. AI generates a picture with no dimensions, no setting-out references and no fit with your actual room, so you can't order materials or carry out the work from it.
Then why use AI to design an apartment at all?
To test a direction quickly at the start. In one evening you can try a dozen moods and see what really speaks to you, which speeds up the conversation with the designer and makes the brief more precise. It also helps you show a feeling that's hard to put into words: a picture explains it faster than a description.
How is a visualisation in a project different from an AI image?
The visualisation is built on the real geometry of your space, with the actual dimensions of the furniture and the actual materials from the specification. Change something in it, and you change the project. An AI image isn't tied to anything: a convincing angle may well prove impossible in your particular room.
How can you check that there is a real project behind an image?
From a single image, not always any more: generators produce cleaner results, and interior photography is almost always retouched. Indirect signs remain, such as tile and parquet joints that drift, sockets that are missing or placed where they make no sense, light with no visible source, implausible furniture proportions. But it's more reliable to look for supporting material than for artefacts: the floor plan, other views of the same room, working drawings, photographs of the finished interior.
Will AI replace interior designers?
It has already taken over some of the work of trying out different looks, and that's fine. It doesn't replace the rest: measurements, engineering, space planning around a specific way of life, producing the documentation, managing procurement and design supervision. That is where most of a project's time goes.
Can I bring AI images to my designer?
Yes, and it's useful, as a mood reference alongside photographs. Keep in mind that what carries over is not the image as a whole but its components: the palette, the character of the light, the type of material, a compositional device. Some of it will prove impossible in your geometry, and it's better to hear that plainly at the first meeting.
Practice
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