AI Models vs Real Beauty: Fashion's Breaking Point

The fashion industry in Baden-Württemberg is increasingly integrating artificial intelligence into its visual campaigns. Stephen Schuster, a professor of advertising and market communication at the Hochschule der Medien in Stuttgart, notes that AI models have become a fixed part of the industry, a shift from their early experimental phase. He categorizes the technology into three forms: fully artificial intelligence-generated models, digital twins created from real models through scanning or photography, and limited AI use that only changes outfits while keeping a real human model.

The manufacturer Olymp from Bietigheim-Bissingen is among the companies actively testing the technology, planning to present its 2027 collection with an AI-generated model. The images are first sent to specialist retailers, but from the season start they are to be used for consumer advertising as well. Heiko Ihben from Olymp states the technology offers faster, more flexible work, beginning already in product development, while emphasizing that authenticity and personality remain increasingly important, so the company views AI as a valuable supplement rather than a blanket replacement for real presentations.

At the Stuttgart fashion house Breuninger, generative AI is used selectively for chosen visual contents in the online shop, but the company maintains that real models and classic photo shoots remain a fixed part of its visual communication. Hugo Boss, based in Metzingen, currently shows only real models in its advertising and relies on prominent brand ambassadors such as David Beckham, though the company applies AI for design briefings with suppliers to make its processes more agile, efficient and sustainable, and currently has no plan to use AI models for advertising.

Schuster's research indicates that consumers do not generally reject the use of AI in advertising, pointing out that people have long perceived advertising as exaggerated or staged. However, he also observes a counter-movement: some brands consciously choose real people and authentic presentations. He warns that AI-generated perfection could increasingly become the standard for real beauty, and that real models and other professionals involved in costly photo shoots stand to lose orders and income if classical productions are replaced. He believes classic shoots will continue to have relevance and that future campaigns will likely combine classical productions with AI-generated contents.

Original Sources: swr.de

Category: Ai

Keywords: beckham, bietigheim, bissingen, boss, breuninger, campaigns, collection, heiko, hochschule, ihben, metzingen, olymp, schuster, stephen, stuttgart

The article reports on how fashion companies in southwest Germany are integrating artificial intelligence into visual campaigns. It quotes a professor, describes different forms of AI use, and mentions specific companies like Olymp, Breuninger, and Hugo Boss. While it captures industry movement, it offers no actionable information for a normal person. There are no clear steps, choices, instructions, or tools a reader can use soon. The text describes what companies are doing but provides no guidance on how a reader might evaluate, respond to, or benefit from these practices in daily life.

Educational depth is superficial. Topics such as AI-generated models, digital twins, and design briefings are named, but the article does not explain how these technologies work, what their limitations are, or why the distinctions matter. Numbers like “2027 collection” appear without context about production timelines, market impact, or how such dates are set. The reader learns surface labels but gains no reasoning about causes, systems, or how the technology functions beyond vague descriptions.

Personal relevance is limited. The information affects industry insiders, investors, and fashion enthusiasts directly, but for a general reader outside that context the article does not connect to personal safety, money management, health decisions, or everyday responsibilities. It describes a distant industry trend without showing how it matters to ordinary life beyond those already interested in fashion or technology. The relevance is narrow and does not extend to most people’s daily concerns.

Public service function is absent. There are no warnings, no safety guidance, no emergency information, and nothing that helps the public act responsibly. The text simply recounts a story of industry adoption and company statements without offering context, preventive measures, or help for readers to apply. It appears to exist mainly as industry reporting rather than serving the public interest by enabling safer or more informed choices.

Practical advice is not given. The article mentions that companies view AI as a supplement or that they have no plans to use AI models for advertising, but no steps or tips are provided that an ordinary reader can realistically follow to protect themselves, evaluate similar claims, or make stronger choices. No guidance on recognizing AI-generated content, assessing marketing claims, or understanding basic media literacy in this context is included. The guidance that is present is vague, overly dependent on institutional action, or unrealistic for most people because it is absent entirely.

Long term impact focuses on a short-lived event. The industry trend and company decisions are news items, and the article offers no lasting benefit for the reader. It provides no plan, no guidance on avoiding similar problems in the future, and no way to make stronger choices later. The information is confined to the event of current AI integration and does not help a person plan ahead, improve habits, or build stronger safety practices for the future.

Emotional and psychological impact may raise awareness of AI’s growing role in media, but offers no constructive way to respond. Readers concerned about the issue may feel anxiety or helplessness because no clear path or reliable information is supplied to turn concern into action. The description of potential industry shifts without accompanying guidance on how to assess actual risk may amplify uncertainty without providing resolution. The article may harm more than help by generating distress without a path forward, leaving readers uncertain about what, if anything, they should do.

Clickbait and ad-driven language are not prominent. The article uses straightforward descriptions of industry practices and avoids exaggerated, dramatic, or repeated claims that add no substance. It does not overpromise, sensationalize, or rely on shock to maintain attention. The tone is journalistic and moderate, focusing on reporting rather than hype.

Missed chances to teach or guide are significant. The article presents a problem—the increasing integration of AI in fashion advertising—but fails to provide steps, examples, context, or a way for the reader to learn more. It does not explain how readers can evaluate AI-generated content, what typical media literacy practices involve, how to question marketing claims, or what basic precautions are advisable. Simple methods a person could use to keep learning include: comparing how different companies disclose their use of AI in advertising, examining publicly available statements or press releases from brands about their visual production practices, keeping a basic awareness of how AI-generated imagery differs from traditionally produced photos when encountered online, and discussing media consumption habits with friends or family to build stronger critical viewing skills. These practices rest on ordinary caution and common sense; they do not require specialized expertise and can be started immediately with access to a phone, internet, or library. They support better evaluation of similar future situations, help build stronger personal media literacy habits, and reduce the risk of accepting claims uncritically. By applying these universal principles a reader can navigate comparable circumstances with greater confidence and safety even when the original news account offers no guidance.

Real value that the article failed to provide: When any situation involves claims about new technology appearing in advertising or media, the most reliable approach is to verify the information through multiple independent and reputable sources before forming an opinion. Published statements from the companies themselves, official press releases, or recognized industry analysts are the most authoritative for confirming what is actually happening. For anyone encountering AI-generated imagery in online shopping or marketing, a practical baseline is to examine the image carefully for subtle inconsistencies such as unnatural lighting, distorted proportions, or overly perfect details that may indicate digital generation. Keeping a simple mental note of where and when such images appear can help build personal pattern recognition over time. People who manage personal spending or wardrobe choices can proactively ask retailers about their image production methods, and can support brands that are transparent about their use of technology. For anyone concerned about the broader impact of AI on media, maintaining a basic habit of diversifying news and information sources, questioning sensational claims, and seeking out in-depth analysis from credible experts supports more balanced decision-making. These practices rest on ordinary caution and common sense; they do not require specialized expertise and can be started immediately with access to a phone, internet, or library. They support better evaluation of similar future situations, help build stronger personal media literacy habits, and reduce the risk of reacting impulsively to alarming or overly promotional headlines. By applying these universal principles a reader can navigate comparable circumstances with greater confidence and safety even when the original article offers no guidance.

The images are first sent to specialist retailers, but from the season start they are to be used for consumer advertising as well.
The construction "are first sent" leaves out who performs the action.
This hides the decision-making actor and the power dynamics behind campaign distribution.
Readers are unable to identify who controls the flow from specialist to consumer.
The passive phrasing makes the process seem natural rather than intentional.

Schuster's research indicates that consumers do not generally reject the use of AI in advertising, pointing out that people have long perceived advertising as exaggerated or staged.
The statement presents a broad generalization about consumer perception as established research finding.
This frames AI acceptance as already widespread public sentiment despite limited evidence.
The wording may minimize legitimate concerns by attaching them to a supposedly common view.
Readers might assume greater approval of AI than the text actually supports.

the company applies AI for design briefings with suppliers to make its processes more agile, efficient and sustainable, and currently has no plan to use AI models for advertising.
The text uses strongly positive adjectives "agile, efficient and sustainable" to describe AI application limited to design briefings.
These words shape reader perception of AI as inherently beneficial despite narrow scope.
The restriction to design briefings is downplayed by the emphatic language.
Readers may infer broader AI advantages than the text explicitly states.

while emphasizing that authenticity and personality remain increasingly important, so the company views AI as a valuable supplement rather than a blanket replacement for real presentations.
The contrast between "authenticity and personality" and AI positioning functions as virtue signaling.
This suggests concern for human elements while advancing AI use regardless.
The phrasing "rather than a blanket replacement" creates a false sense of limitation.
Readers may trust the company's stated values despite continued AI integration.

The text shows several feelings as it describes how fashion companies in Baden‑Württemberg are using artificial intelligence in their ads. These feelings are not always named directly; they come from how the writer talks about new technology alongside traditional photo shoots, from positive words about efficiency, and from warnings about what might happen. The writer uses these feelings to guide how the reader thinks about AI in fashion, whether as a helpful tool, a possible threat, or a mix of both.

A clear worry appears when Professor Schuster says that AI‑generated perfection could become the new standard for real beauty, and that real models and workers in expensive photo shoots may lose work if classical productions are replaced. This worry is presented with moderate strength, and its purpose is to make the reader notice real risks to people’s jobs and to ideas of beauty, steering reaction toward caution about letting AI dominate visual culture.

Worry also surfaces through the text’s vague wording and selective disclosures. For example, the passage states that images are “first sent to specialist retailers” without saying who makes that decision, and Hugo Boss claims “no plan to use AI models for advertising” while using AI for design briefings. This worry has moderate strength and aims to make the reader question transparency and hidden motives, directing attention toward the gap between what companies say and what they actually do with AI.

Positive framing is found in descriptions of the technology as offering “faster, more flexible work,” as “agile, efficient and sustainable,” and as a “valuable supplement” rather than a replacement. These positive words appear with moderate strength in statements from Olymp and Hugo Boss, and their purpose is to present AI as a benefit that improves work without displacing humans, guiding the reader toward a receptive view of industry change.

A mild reassurance is given when Schuster’s research notes that consumers “do not generally reject the use of AI in advertising,” pointing out that people have long seen advertising as exaggerated or staged. This reassurance is mild in strength and works to lower resistance, shaping opinion toward the idea that AI in fashion is not a sudden shock but part of how advertising has always functioned.

Balance and contrast run through the text, such as the statement that “authenticity and personality remain increasingly important” alongside the use of AI, and that “real models and classic photo shoots remain a fixed part” of some brands’ communication. These contrasts carry moderate strength and serve to show the industry’s tension between innovation and tradition, guiding the reader toward a view that includes both sides, that future campaigns will likely blend both approaches rather than choose one exclusively.

The writer persuades mainly through word choice and structure rather than dramatic language. Positive adjectives like “agile,” “efficient,” and “sustainable” attach benefit to AI uses that are actually quite limited, while words like “warns” and “stand to lose” introduce concern without assigning blame. Repeating the idea of balance between digital and real creates a steady rhythm that reinforces the middle‑ground message. Comparisons among fully synthetic models, digital twins, and simple outfit changes frame AI as layered and controllable, steering the reader’s thinking toward gradual acceptance rather than abrupt replacement.

Overall, the feelings of worry, optimism, reassurance, and balance work together to guide the reader from initial curiosity to careful evaluation. By presenting risks alongside benefits, and by framing AI as both a supplement and a possible standard, the text invites the reader to weigh gains against impacts on jobs and beauty ideas. The emotional path moves from cautious openness toward critical awareness, shaping opinion toward a stance that acknowledges AI’s growing role while staying attentive to the value of authentic human representation in fashion imagery.