A growing number of brands are turning to artificial intelligence-generated influencers to promote products across social media platforms, a trend that is rapidly reshaping digital marketing while raising concerns over transparency, consumer trust, and the authenticity of online advertising.
An investigation has found that companies are increasingly using AI-generated characters designed to resemble real customers, often presenting seemingly genuine product reviews, testimonials, and lifestyle content without clearly disclosing that the individuals featured do not actually exist.
The findings highlight the emergence of a new challenge for regulators and consumers alike: distinguishing between authentic recommendations from real people and highly realistic content generated entirely by artificial intelligence.
The Rise of the Synthetic Influencer
For years, influencer marketing has relied on the perceived authenticity of creators who share personal experiences with products and services. However, advances in generative AI have made it possible for brands to create convincing digital personalities capable of mimicking human behavior, emotions, and everyday experiences.
These virtual influencers can appear in videos, photographs, product reviews, unboxing clips, and lifestyle content that closely resemble traditional user-generated content (UGC), one of the most effective forms of online advertising.
Unlike conventional influencers, AI-generated personalities never demand higher fees, generate controversy, miss deadlines, or express personal opinions that could conflict with a brand’s messaging.
Marketing experts say those advantages are increasingly attracting companies looking to reduce costs while maintaining a steady stream of content for social media platforms such as Instagram, TikTok, and YouTube.
Consumers May Not Know They’re Watching AI
One of the central concerns surrounding the trend is that consumers are often given little indication that the people appearing in promotional content are not real.
Among the examples identified during the investigation was the photo-sharing application Once, which markets itself as a tool for creating disposable-camera-style photographs during events.
Several promotional videos posted on social media appeared to feature emotional testimonials from users describing how the app enhanced their wedding experiences. However, analysis conducted by cybersecurity specialists suggested that some of the individuals featured were likely AI-generated.
In another example, promotional content for home-design platform Maket appeared to show a woman enthusiastically recommending the service before demonstrating how the AI-powered application could assist with residential planning and interior design.
Maket acknowledged experimenting with AI-generated influencers, describing the initiative as part of a broader effort to test creative concepts and evaluate audience engagement before committing to larger marketing campaigns.
The company emphasized that the use of AI influencers was not a central component of its long-term strategy but rather a marketing experiment.
Fashion Brands Also Embrace AI Marketing
The trend extends beyond technology companies.Dubai-based fashion label Ashle faced scrutiny after posting images that appeared to feature AI-generated models wearing its clothing. Observers pointed to visual irregularities—including anatomical inconsistencies such as an apparent extra finger—as indicators of AI-generated imagery.
Following inquiries about its marketing practices, the company removed several images from its social media channels.
Ashle later stated that while some promotional images generated during its launch phase incorporated artificial intelligence, all products sold by the company were genuine handmade garments rather than AI-generated creations.
Transparency Gap Exposes Regulatory Challenges
The growing use of AI influencers is unfolding in a regulatory gray area. Currently, there are no specific rules in the United Kingdom requiring companies to disclose when promotional content features AI-generated individuals rather than real people. Advertising regulators focus primarily on whether advertisements are misleading, rather than on the technology used to create them.
The situation differs in the European Union, where provisions under the AI Act are expected to require clear labeling of AI-generated and manipulated content, including deepfake images, videos, and audio recordings. Those rules are scheduled to begin taking effect later this year.
Consumer advocacy groups argue that similar transparency requirements are urgently needed elsewhere.
According to consumer watchdog Which?, the rapid improvement of AI-generated media means many people can no longer reliably distinguish between authentic and artificial content online.
The organization cited recent research indicating that a majority of consumers struggle to correctly identify deepfake videos, raising concerns that AI-generated influencer campaigns could further blur the line between genuine recommendations and synthetic advertising.
The Hidden Economy Behind AI Influencers
Industry insiders suggest the scale of AI influencer adoption may be far larger than publicly acknowledged.
Clarissa Mansbridge, founder of digital-human agency Mia Metaverse, says brands increasingly commission hyper-realistic AI personalities to create content that appears indistinguishable from traditional influencer marketing.
According to Mansbridge, businesses can request entirely custom AI-generated characters tailored to specific demographics, lifestyles, and product categories. A beauty brand, for example, can generate realistic footage showing a young traveler applying sunscreen beside a swimming pool, without ever hiring a model, photographer, videographer, or production crew.
More controversially, Mansbridge claims some brands require creators and agencies working with AI-generated content to sign non-disclosure agreements that prevent them from publicly discussing the role of artificial intelligence in campaign production.
She estimates that AI may already be responsible for a substantial portion of social media marketing content produced by major brands.
The use of NDAs, she argues, reflects an industry still concerned about how consumers may react if they discover that seemingly authentic customer endorsements were created by algorithms rather than actual users.
Cost Savings Drive Adoption
Economic factors are also accelerating the transition.
Traditional influencer campaigns often require significant investments in talent, photography, travel, production, editing, and licensing. Depending on the scale of the campaign, costs can range from tens of thousands to hundreds of thousands of dollars.
AI-generated alternatives dramatically reduce those expenses.
Brands can produce large volumes of personalized marketing content at a fraction of the cost while maintaining full control over messaging and brand presentation.
The shift comes amid broader efforts by companies to automate creative workflows using generative AI technologies, which are increasingly being deployed across advertising, design, customer service, and content production.
Authenticity Under Pressure
Critics argue that the growing use of synthetic influencers threatens one of the fundamental principles that made influencer marketing effective in the first place: authenticity.
User-generated content gained popularity because consumers perceived it as genuine feedback from ordinary people rather than polished corporate advertising. AI-generated testimonials, unboxing videos, and product reviews challenge that assumption by creating the appearance of personal experiences that never actually occurred.
The issue has already reached small businesses. Artist Zac Rossiter recently revealed that a marketing agency offered to create an AI-generated unboxing video featuring one of his products. Such videos are widely used across social media because they are viewed as credible demonstrations of customer satisfaction.
Rossiter declined the proposal, arguing that artificial testimonials undermine trust between brands and consumers.
A New Trust Crisis for the Digital Economy
As generative AI becomes increasingly sophisticated, experts warn that the advertising industry may be approaching a broader credibility challenge.
The technology allows companies to create persuasive, emotionally engaging marketing content at unprecedented scale, but it also risks eroding confidence in what consumers see online.
With regulators struggling to keep pace and disclosure requirements remaining inconsistent across markets, the debate over AI influencers is rapidly evolving from a marketing issue into a question of digital trust.
For brands, AI-generated influencers offer efficiency, scalability, and lower costs. For consumers, however, their growing presence raises a more fundamental question: when every smiling customer on social media could be artificial, how can audiences know who—or what—they are really being influenced by?