Fashion has always had a complicated relationship with reality. Campaigns are retouched, locations are constructed, lighting is manipulated, and sometimes, the entire world presented in an advertisement exists only for a few hours of a photoshoot. Generative AI has simply made that process far easier and far harder to spot.
Today, a brand can create a model who does not exist, place them in a setting that was never photographed and produce an entire campaign without a conventional photoshoot. The result can look just as polished as anything produced traditionally. This raises a fairly simple question with a surprisingly complicated answer: when an image looks real but was created by AI, should consumers be told?
The question has become particularly relevant in Europe following the application of the transparency provisions of the EU AI Act from 2 August 2026. Article 50 introduces obligations intended to make certain AI-generated or manipulated content identifiable, but it does not mean that every image touched by AI automatically needs a large “AI-generated” disclaimer.
What the AI Act actually says
Under Article 50, providers of AI systems capable of generating synthetic images, audio, video or text must ensure that their outputs carry machine-readable markings that allow them to be identified as artificially generated or manipulated. There are also specific obligations for those deploying AI, particularly where the content amounts to a deepfake.
For fashion, this distinction matters. The European Commission’s guidance makes clear that the rules are concerned with whether AI-generated or manipulated content could give people a misleading impression about what they are seeing. Standard editing assistance, for example, does not automatically fall under the same transparency requirement. Similarly, the context in which an image is presented matters when determining whether it could appear deceptively authentic.
This is where things become interesting for fashion brands. An AI tool used to adjust the background of an existing campaign photograph is very different from generating an entirely fictional model and presenting that person as though they were photographed wearing the product.
The virtual model question
The rise of AI-generated models is perhaps the clearest example of where the law meets fashion’s changing creative process. Virtual models can offer brands considerable flexibility. There is no casting process, no travel, no physical location and potentially no traditional production schedule. A single concept can be adapted into countless variations almost instantly.
However, the same technology creates a transparency issue. If a consumer sees a highly realistic person wearing a garment, there is an obvious assumption that the person exists and that the image represents something that was actually photographed.
Modaes, speaking to professionals working with AI in fashion, highlights this uncertainty around campaign imagery. The question is not simply whether AI was used somewhere in the creative process but whether the final image could reasonably be understood as depicting something real. The publication notes that there is still limited practical interpretation of these rules, particularly because the regulation is new and there is not yet an established body of case law explaining every possible fashion scenario.
That leaves brands navigating a fairly new grey area.
Transparency could become part of brand identity
Interestingly, the debate may not end with legal compliance.
Fashion has always sold more than clothing. It sells an image, a lifestyle and sometimes an entire fantasy. AI makes it possible to construct those fantasies on a scale that was previously difficult or expensive to achieve.
The concern is what happens when fantasy becomes indistinguishable from reality. Consumers may not necessarily object to AI. In fact, some brands are likely to use it precisely because it allows them to experiment with more imaginative forms of storytelling. But there is a difference between using AI as a creative tool and allowing an audience to believe that something existed when it did not.
This is particularly important in product marketing. If an AI-generated image makes a garment appear to have a particular fit, texture, environment or styling that does not correspond to the actual product, transparency becomes more than a technological question. It becomes a consumer protection issue.
The European Commission’s own guidance reflects this broader objective: the transparency rules are intended to reduce deception and manipulation while allowing AI-generated content to continue being used creatively.
And then there are the models who do exist.
There is another question that sits alongside AI-generated imagery: what happens when AI uses the likeness of a real person?
Fashion has long depended on models’ faces, bodies and identities as part of its commercial value. Generative AI introduces the possibility of digitally reproducing or altering those identities at a scale that traditional photography could not. That brings questions of consent, contracts, compensation and image rights into the conversation. A model may agree to appear in one campaign, but that does not necessarily mean they have agreed to have their likeness digitally altered, reproduced or reused indefinitely.
This is where AI in fashion becomes much bigger than a question of whether a campaign needs a label. It touches intellectual property, personality rights, consumer transparency and the commercial ownership of identity.
Conclusion
For fashion brands, the EU AI Act does not mean that artificial intelligence has to disappear behind the scenes. Quite the opposite. AI is likely to become an increasingly ordinary part of fashion’s creative and commercial processes.
What is changing is the expectation that brands will be more transparent about where artificial creation crosses into something that could be mistaken for reality. For an industry built on fantasy, that may be one of the most interesting consequences of the AI era. Fashion has always asked consumers to believe in an image. Now, as those images become increasingly artificial, the industry has to decide when the audience deserves to know what is real.
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