AI influencers are no longer the slightly uncanny digital characters that were easy to identify after three seconds of scrolling. The technology is improving fast, synthetic creators are becoming more realistic, and many of the visual giveaways people once relied on are disappearing.
GrowthGirls CEO, Effie Bersoux recently contributed expert commentary to The Sun for a feature exploring AI-generated influencers and how to identify them. She pointed to some of the subtler behavioural details that can still reveal an avatar, including limited micro-expressions and blinking that appears unusually rhythmic.
For consumers, that creates a detection problem. For marketers, it creates a much bigger strategic one. The question is no longer simply: Is this influencer real?
Brands now need to ask: What happens to influencer marketing when the person influencing your customer might not be a person at all?
AI influencers have moved beyond the novelty stage
The economics are easy to understand. A synthetic creator does not need a production schedule, flights, accommodation, reshoots or twelve emails asking whether Tuesday afternoon works. Content can be produced faster, adapted to different markets and deployed at a scale that would be difficult with a traditional creator model.
That does not mean every brand should rush to build its own digital influencer. It means synthetic creators have become credible enough to belong in the strategy conversation. When technology moves from novelty to usable infrastructure, the useful question stops being “Can we do this?” and becomes “Where does this actually create value?”
The opportunity is real. So is the trust problem.
AI influencers can solve practical marketing constraints. Brands can build consistent characters, produce variations quickly, localise content and test creative directions without many of the logistical limitations attached to human production.
That creates an obvious efficiency opportunity. But influencer marketing does not run on efficiency alone. It runs on trust, affinity and perceived authenticity. People follow creators because they believe there is a person on the other side of the screen with experiences, preferences and opinions that mean something.
Introduce a synthetic creator and that relationship changes. Not necessarily for the worse. A clearly disclosed virtual personality can still entertain, educate and build a real audience. The problem begins when the content depends on people believing that a fabricated experience was lived by a real person.
There is a meaningful difference between:
“Meet our virtual skincare expert.”
and
“I’ve been using this serum for six months and it changed my skin.”
One is a synthetic communication format. The other manufactures lived experience. Brands need to know which side of that line they are operating on.
Influencer due diligence needs a new question
Brands already vet creators for audience quality, engagement, reputation, content fit, previous partnerships and brand safety. There is now another question to add:
Is this creator actually a real person?
That might sound ridiculous until it doesn’t. Synthetic profiles can now look convincing enough to build audiences, create commercial content and simulate lifestyles and experiences that never happened. Creator verification therefore cannot stop at follower count and engagement rate.
Marketing teams need to understand who controls the identity, how the content is produced, whether synthetic media is involved and what exactly a brand is buying when it enters a partnership. This becomes especially important when the creator’s apparent personal experience is part of the endorsement.
A fashion campaign featuring a fictional digital model is one thing. A health, financial or travel recommendation presented as personal experience by someone who does not exist is another. The risk is not simply AI. The risk is context without transparency.
Disclosure is part of brand strategy
Brands often treat transparency as a compliance issue that happens after the creative idea has already been approved. With synthetic creators, it needs to happen much earlier. If audiences discover that an apparently human creator is synthetic only after they have formed an emotional relationship with them, the brand has created a trust problem that a disclaimer buried in a caption will not fix. Disclosure should therefore be part of the experience design.
What does the audience reasonably believe they are looking at? Is the synthetic nature of the creator obvious? Is the brand comfortable with that interpretation? A useful test is simple: Would the campaign still work if everyone knew exactly how it had been produced?
If the answer is no, the problem is probably not the technology.
AI changes the economics of creator content
The bigger marketing shift is not just the existence of virtual influencers. It is what generative AI does to the economics of content production. When content becomes cheaper and faster to produce, brands can create more variations, test more concepts and personalise assets for more audiences. That sounds like an automatic performance win.
It isn’t. We are already operating in a world of content abundance. The scarce resource is increasingly not production capacity, but attention, relevance and trust. AI influencers create an interesting paradox: brands gain almost unlimited production potential at exactly the moment audiences have more content competing for their attention than ever before. The winner is unlikely to be the brand that generates the most. It will be the brand that generates the most relevant, differentiated and trusted content.
Human vs AI is the wrong strategy question
The debate around synthetic creators often becomes unnecessarily binary. Human influencers are good. AI influencers are bad. Or the reverse: AI creators are cheaper, scalable and controllable, therefore humans are obsolete. Neither position is especially useful. A better approach is to think in terms of jobs to be done.
There are contexts where a synthetic creator makes perfect sense: product education, entertainment, fictional brand worlds, localisation or high-volume social creative. There are other contexts where the human is part of the value itself. Founder stories. Personal testimony. Community leadership. Expert opinion based on lived experience. Recommendations where credibility depends on someone having actually used, experienced or believed something. Replacing the human in those situations may reduce production cost while quietly removing the thing that made the communication persuasive. Cheaper is not automatically more effective.
Brands need a synthetic creator policy before they need a synthetic creator
Most companies do not need a 40-page AI influencer governance document. They do need alignment.
Before synthetic creators become another random experiment happening somewhere between the social team, an agency and whoever discovered a new avatar tool last week, brands should establish a few basic operating principles.
Where are synthetic people appropriate? When should they be disclosed? What kinds of claims can they make? Can they simulate personal experience? How are external creators verified? Who approves the use of AI-generated humans?
The goal is not bureaucracy. It is to create guardrails that allow experimentation without creating avoidable brand risk. This is the same principle that applies to AI across modern marketing systems: models do not replace strategy. They operationalise it.
What should brands do now?
Start by treating synthetic creators as a strategic category. Audit your influencer and UGC workflows. Make sure creator verification is strong enough for a world where digital identities can be manufactured. Define what transparency means for your brand before you are forced to decide during a live campaign. And when testing AI influencers, measure more than production efficiency. Look at audience response, trust signals, qualified engagement and downstream conversion.
Most importantly, avoid designing strategy around what the technology looks like today.
The visual, tells Effie highlighted to The Sun, micro-expressions, blinking and other behavioural inconsistencies are useful precisely because the technology still has imperfections. Those imperfections will shrink. Your strategy needs to survive when they do.
So, Where Should Brands Draw the Line?
AI influencers becoming harder to identify is interesting from a technology perspective. From a marketing perspective, the bigger shift is that identity itself is becoming something brands can manufacture. That creates enormous creative potential. It also changes the responsibility that comes with influencer marketing.
The brands that handle this well will not simply be the ones that adopt synthetic creators first. They will be the ones that understand where AI creates real leverage, where human credibility remains essential, and how to preserve audience trust while experimenting with both.
The future of influencer marketing is unlikely to be human or synthetic. It will be both. The competitive advantage will come from knowing when to use which.
