By: Natasha Jain, Founder, Agent B Studio
A client asks to see the living room with a different sofa, a lighter palette and a revised layout. What sounds like a simple request can set off hours of work across a design studio. Someone updates the model, someone revises the visualisation, another checks product options, and the presentation needs to be rebuilt.
The creative decision may take minutes. Communicating it can take considerably longer.
This is where I see AI’s most meaningful opportunity in interior design. Much of the conversation centres on whether technology can design a room. The more useful question is what happens to a studio when the work surrounding each design decision becomes faster.
That shift could change how studios are structured, how they grow and where designers spend their time.
The work behind the design
Interior design brings together creativity, technical knowledge, commercial judgement and an understanding of people. Yet a considerable part of the working day goes into translating decisions into formats that other people can understand and execute.
Visualisations, revisions, product searches, bills of materials and presentations are essential to that process. They also involve repeated steps, often using information that already exists elsewhere in the project.
Consider a change in a dining table’s size. Its implications may need to appear in the layout, render, sourcing list, cost estimate and client presentation. When these are handled separately, the same decision generates several rounds of work and several opportunities for inconsistency.
AI could help connect these steps. With reliable project information and appropriate checks, it could assist with preparing alternatives, organising specifications, assembling presentations and updating documentation.
The value would come from reducing the effort between a decision and its accurate communication.
Accuracy must come before speed
For this to work, dimensional accuracy has to be fundamental.
An attractive image has limited professional value if it changes the room’s proportions, moves an opening or shows furniture that cannot fit. A visualisation should help a designer assess a real space and help a client understand what can be delivered.
If the designer must reconstruct the room after every generated image, the apparent time saving quickly disappears.
The same principle applies to sourcing and bills of materials. A suggested product needs verified dimensions, specifications, price and availability. A draft quantity needs to be checked against drawings and installation requirements. A convincing output cannot be treated as a confirmed one.
Studios will therefore need clear boundaries between exploration and approved project information. AI can support a workflow, but someone must remain accountable for what moves into procurement and execution.
Smaller teams could gain more capacity
Design studios often respond to growing workloads by adding people to produce more drawings, renders, revisions and presentations.
If AI reduces some of that production time, a smaller team could potentially manage more projects without increasing headcount at the same rate.
Imagine a studio where a designer can review several coherent options within a working session, refine the chosen direction and prepare a client discussion with less manual assembly. The team gains time that can go into resolving the design, understanding the brief or coordinating execution.
However, faster production does not automatically create greater project capacity. Site supervision, vendor coordination and client communication still require attention. Taking on additional work without strengthening those functions could simply move the bottleneck.
The opportunity is to grow at a pace the studio can support, with a clearer understanding of where human time adds the most value.
The designer’s judgment becomes more visible
A client’s brief rarely contains everything a designer needs to know.
People may ask for a formal living room while describing a household that gathers casually every evening. They may choose a material for its appearance without understanding how it will age. Two decision-makers may agree on a reference image for entirely different reasons.
Understanding those differences is part of design.
So is recognising when a beautiful arrangement will feel uncomfortable in daily use, when circulation needs more space, or when a client needs help making a decision rather than seeing another option.
AI can widen the range of possibilities available to a designer. Selecting among them requires spatial judgement, restraint and responsibility.
As options become easier to produce, the ability to explain why one solution serves a particular client will become increasingly valuable.
Studio roles will need to evolve
This could lead to teams organised around broader ownership of projects, with less time divided between isolated production tasks.
Designers could spend more time developing concepts, evaluating materials and working with clients. Technical specialists could focus on buildability, coordination and validation. Procurement teams could devote more attention to supplier relationships and delivery risks.
Junior designers need careful consideration in this transition. Drawing, modelling and revising are also ways of learning. They build an understanding of scale, detailing and the consequences of a decision.
If studios automate these tasks, they must create deliberate opportunities for learning through site visits, material reviews, technical discussions and guided evaluation of AI outputs. Efficiency should support the development of future designers.
A more considered way to grow
The strongest case for AI in interior design is the possibility of giving skilled people more time to do thoughtful work.
That will require studios to examine their processes, establish reliable project information and decide where automation genuinely helps. Introducing another tool without addressing fragmented workflows may only create more output to manage.
I believe the studios that benefit most will be those that use AI with a clear understanding of their own practice: what can be accelerated, what must be verified and what deserves more human attention.
A studio’s value will continue to rest on the spaces it delivers and the trust it earns. AI could change the team and processes behind that work. Designers will remain responsible for making it worth building.