What studios say about AI and what they're actually doing

Design studios have gone quiet about AI. That silence is more telling than anything they were saying two years ago.

No named brand or communication design studio has published a documented AI workflow or formal methodology in the last 18 months. Studios that spoke openly about their practice before have stopped. The conversation has moved internal, or studios are staying quiet as AI embeds deeper and the reputational risks of transparency grow.

What exists is institutional. The RGD published a 2026 piece documenting AI use across the full design workflow, from ideation through refinement, production, and evaluation, while flagging systemic problems: bias, compensation for training data, transparency. A professional body acknowledging broad adoption while demanding accountability is a more substantive position than anything studios are currently saying out loud.

Nielsen Norman Group tells the same story from the research side. By late 2024, AI scoped to narrow tasks within familiar tools, Figma and Dovetail, became reliably useful. Not general AI experimentation, but embedded, task-specific AI delivering consistent results. That shift happened quietly.

The academic evidence fills the gap left by studio silence. A 2025 peer-reviewed study in Frontiers in Computer Science found that experienced designers use AI for quality refinement, not just idea generation. An enterprise UX study from late 2024 confirmed AI compresses brief-structuring and domain-familiarisation tasks significantly. Neither study needed studio self-reporting.

Studios are not documenting their AI practice publicly right now. Reputational caution with clients, uncertainty about IP and attribution, the gap between what AI can do and what studios want to claim credit for. Probably all of it, in different proportions depending on the studio.

There's also a structural problem nobody is addressing. NNG documented a tough job market for designers running alongside heavy AI investment. AI is absorbing the execution work that develops craft in junior designers. If it raises the ceiling for seniors while compressing junior workflows, the development pipeline looks different in five years. No studio or institution is grappling with this openly.

The RGD's ethical flags deserve more attention. Bias, training data compensation, transparency, these aren't caveats to acknowledge and move past. The design profession has a legitimate stake and isn't doing enough.

AI has moved well beyond ideation. The academic research confirms it for experienced designers specifically. The institutional evidence makes the case without relying on studio self-reporting at all, which is useful, because studio self-reporting has largely stopped.

The boundary between AI-assisted and human-crafted work is permeable and moving. Studios aren't being transparent about where it actually sits. That silence is part of the story too.