Is AI quietly flattening the very thing design is meant to celebrate, difference?

Across the architecture and interiors sector, we’re seeing a surge in AI-generated concepts promising speed, efficiency, and “good design” at scale. But look closely and a pattern emerges: the same furniture families, the same palettes, the same spatial tropes, repeated, refined, and redistributed. Style, it seems, is becoming a dataset.

At Bennett Architecture, where interior design is fundamentally about crafting identity, whether for a workplace, a cultural institution, or a home, this raises a critical question: can AI meaningfully replace the nuanced, often intangible dialogue between designer and client?

Because that conversation is where the real brief lives.

It’s rarely linear. Clients don’t just describe what they want, they reveal it over time. Through stories, contradictions, aspirations. A workplace might say it needs collaboration spaces, but what it actually needs is psychological safety. A home might ‘ask’ for minimalism, but what it really seeks is calm, memory, or belonging. These are not prompts, they’re human conditions.

AI struggles here.

We’re already seeing where it falls short:

AI-generated interiors that over-index on trend data, producing visually polished but culturally generic outcomes.

Layouts that ignore behavioural nuance, how people ‘actually’ move, gather, retreat, and adapt over time.

Material and furniture selections that are technically coherent but lack narrative or meaning.

Designs that fail in real-world constraints, budget, procurement, durability, or climate responsiveness.

In practice, this leads to a kind of “design déjà vu” spaces that look resolved but feel unconvincing.

There’s also a deeper risk. When AI tools are trained on existing visual precedents, they inherently reinforce dominant aesthetics. Minority perspectives, emerging cultural expressions, and highly localised identities are underrepresented, meaning the more we rely on AI, the narrower the design language can become.

This isn’t to dismiss AI. Used well, it’s a powerful tool for iteration, testing, and productivity. It can accelerate early-stage exploration and free designers from repetitive tasks.

But interior design is not a repetition problem.

It is an interpretation problem.

And interpretation requires judgement, empathy, and trust, qualities built through conversation, not computation.

The future of design isn’t AI versus human. It’s about where we draw the line.

If AI handles the predictable, then designers must double down on the unpredictable, the human layer. The part that listens carefully, challenges assumptions, and translates identity into space.

Because in the end, the most successful interiors aren’t the ones that look right.

They’re the ones that feel true.