AI in Influencer Marketing: Use, Regulation and Ethics
According to 2026 research by the World Federation of Advertisers (WFA), 78% of the multinational brands surveyed are already using AI in consumer-facing marketing creative. The figure suggests that AI is moving beyond experimentation and becoming an increasingly routine part of advertising production. Influencer advertising is no exception.
AI Has Become a Routine Part of Production
The use of AI in influencer content is becoming increasingly common. The background of an influencer’s video can be changed, their voice can be recreated, their image can be altered, or they can even be made to say something they never actually said. None of this necessarily requires specialist production anymore. Widely available tools can do it quickly.
For brands, this brings clear efficiency gains. A single campaign video can be redubbed in different languages for different markets, a product visual can be tested in dozens of variations, and raw footage from an influencer can be reworked to suit a brand’s needs. AI turns influencer content from a one-off production into material that can be reshaped and reused in multiple ways.
But that flexibility also raises a deceptively simple question: as AI plays a greater role in a piece of content, when and how should that involvement be disclosed?
Expectations Around Transparency Depend on the Type of Intervention
WFA’s research shows that the industry does not view every use of AI in the same way. Ninety-six percent of brands believe AI-generated voices that could be mistaken for human voices should be disclosed. That figure is 91% when synthetic humans play a central role in advertising, but falls to just 4% for purely decorative AI-generated backgrounds. In other words, expectations around transparency change depending on the nature of the intervention.
There is another tension here. Disclosing the use of AI does not always have a positive effect on consumer perception. Some academic studies on advertising suggest that disclosing AI use can reduce trust in an ad or a brand. For brands, this means transparency is not simply a matter of adding a label. What matters is which part of the content AI has altered and to what extent.
Why Were These Regulations Introduced, and What Do They Say?
Regulators in different parts of the world are increasingly facing the same question: how should AI-generated or AI-altered content be regulated? Their approaches differ, but the underlying objective is similar: to prevent people from being misled into believing that artificially generated or altered content is real.
Türkiye: New advertising rules that came into force on 1 August 2026 introduced specific provisions concerning the use of artificial intelligence in advertising. Article 18(8) requires clear, understandable and distinguishable disclosure where AI or other software is used in a way that could significantly influence consumers’ economic behaviour, or where digital characters created using AI technologies are indistinguishable from humans. Article 27(12) places restrictions on the use of an AI-generated digital replica of a real person in a way that creates the impression that the person has actually experienced or used a product, or is recommending it. The regulation was published in the Official Gazette on 1 July and came into force on 1 August.
European Union: One day later, on 2 August, the transparency obligations under the EU AI Act concerning AI-generated and manipulated content became applicable. In the EU, where AI-generated or manipulated image, audio or video content qualifies as a deepfake, its artificial generation or manipulation must be disclosed.
There is also detailed guidance on the scope of this obligation. Guidelines published by the European Commission on 20 July 2026 explain that factors such as the degree of resemblance, the message conveyed by the content, the context in which it is used and the expectations of the target audience may be considered when determining whether content qualifies as a deepfake. For example, a background alteration or special effect used in a standard film production may be treated differently if it does not create a false impression that what the viewer is seeing is real.
United States: The US takes a different regulatory approach. For the US Federal Trade Commission (FTC), the central issue is whether advertising and endorsements mislead consumers. An endorsement is understood as an advertising message that consumers are likely to believe reflects a person’s genuine opinions or experience with a product or service. The FTC’s rule on consumer reviews and testimonials prohibits fake or false testimonials, and influencers may also fall within the scope of the rule if they falsely claim to have used or experienced a product. The FTC also makes clear that the use of AI avatars is not prohibited in itself, but existing rules may apply when they are used to create fake or false testimonials.
Where Does the Grey Area Begin?
Although regulations establish some core principles, not every AI intervention in influencer marketing fits neatly into the same category.
Changing a background does not have the same effect as altering an influencer’s face or voice. Similarly, editing raw footage is materially different from using AI to make an influencer say something they never actually said. The EU guidance reflects the importance of these distinctions by taking factors such as resemblance, message, context of use and audience expectations into account.
Another question concerns derivatives of previously approved content. If an influencer approves a video and the brand later uses the same footage to create different versions with AI, whether that initial approval extends to those new versions is not simply a disclosure issue. The scope of the usage rights and of the influencer’s original approval also comes into play.
Beyond Regulation: The Question of Consent
Alongside these regulatory questions is an ethical issue that directly concerns the influencer: altering and using someone’s image or voice without their consent.
Why this matters became particularly visible in a lawsuit filed on 9 June 2026. Influencer Molly Tranchin, known as “FashionVeggie,” sued lingerie brand EBY. Tranchin alleged that a video she had produced for the brand under contract was altered using AI and posted on Instagram in a form she had not approved. The complaint also alleged that the agreement between the parties did not permit the content to be altered unilaterally. These were Tranchin’s allegations, not findings established by a court.
Tranchin voluntarily dismissed the case without prejudice on 28 August. According to Bloomberg Law, the decision followed EBY’s challenge to the federal court’s subject-matter jurisdiction, and Tranchin indicated that she planned to refile the case in a court with proper jurisdiction. There has therefore been no court ruling on the merits of either the AI use or the contractual issues in the case.
But the allegation itself brings another issue into focus: an influencer’s content being altered and published without their approval. Here, the issue is less about misleading the audience and more about a person’s control over their own image and representation.
These questions need to be addressed at different stages of the influencer marketing process. Where AI use requires disclosure, the brief and production process should establish how and where that disclosure will appear in the content. The extent to which an influencer’s image or voice may be altered, who must approve those changes and at what stage should also be determined in advance. And whether usage rights granted for a campaign extend to new AI-generated versions should be clearly defined at the contracting stage.
Taken together, a common direction emerges: across different regulatory frameworks, the potential for AI intervention to mislead the audience is becoming a key consideration. The industry’s own approach also varies according to the nature of that intervention. In WFA’s research, 96% support transparency for an AI-generated voice that could be mistaken for a human one, compared with just 4% for a decorative AI-generated background. Between those two ends of the spectrum lies a broad area where the boundaries cannot always be drawn with the same clarity. In that uncertainty, the most robust approach for brands is straightforward: where AI intervention could leave the audience unsure about what is real and what is artificial, disclose it, and define that approach from the outset in the brief, production approval process and contract.