There's a decent chance you've already been influenced by someone who doesn't exist.
Not a bot. Not a catfish. A fully AI-generated "person" — with a face, a lifestyle, and brand deals — created specifically to sell you something. And nobody told you they weren't real.
What happened
Brands across fashion, tech, and lifestyle are quietly using AI-generated influencers on social media to promote products. These aren't obviously synthetic characters with blue skin and anime eyes — they're designed to pass as real people, with curated feeds, relatable captions, and the kind of aspirational lifestyle shots you'd scroll past without a second thought.
Consumer groups are pushing back hard. The EU's Artificial Intelligence Act will require clear labelling of AI-generated content from August. But the UK currently has no specific rules mandating disclosure. Some content creators have reportedly been asked to sign NDAs to conceal their involvement in producing this synthetic content.
The telltale signs? Sometimes a hand with six fingers. Sometimes nothing at all.
This isn't just a marketing problem
Here's what caught my attention: this is a design story.
Someone designed those influencers. Someone chose the skin tone, the hairstyle, the wardrobe, the lighting. Someone decided what "authentic" should look like and then manufactured it pixel by pixel. That's design work — and it comes with design responsibility.
We've spent years talking about inclusive representation in design. Real bodies, real skin tones, real diversity. AI-generated influencers let brands sidestep all of that by creating "people" who are optimised for engagement rather than grounded in reality. They can be any ethnicity, any body type, any aesthetic — not because the brand values representation, but because the algorithm says it converts.
That should make us uncomfortable.
The broader trend is clear: AI is generating more and more of the visual layer between brands and audiences. From product mockups to social content to entire brand personas. And as designers, we're increasingly the ones building, directing, or at the very least enabling that layer.
The question isn't whether AI-generated content will become more common — it will. The question is whether we're going to insist on honesty when we help create it.
I think we should.
This connects to something else happening in design right now — the push to make our systems and processes more AI-ready. Not in a hype-driven way, but practically. If AI is going to generate more of our outputs, then the structures we build — design systems, component libraries, documentation — become the guardrails that determine whether those outputs are coherent or chaotic, honest or deceptive.
Tool spotlight: making your design system AI-ready
On a more practical note, there's a growing conversation about preparing design systems to work effectively with AI tools. The core idea is straightforward: AI tools that generate UI — whether that's prototypes, layouts, or component suggestions — produce dramatically better results when they have well-structured design systems to draw from.