As generative AI floods the market with fast, low-cost content, luxury brands are learning to harness the tech without eroding the value of craft, authorship, and cultural authority. From “anti-slop” design cues to immersive real-world experiences, a new playbook is emerging.
Earlier this month Gucci sparked debate with a series of surreal campaign images, from a helmet-haired Milanese socialite in a wood-paneled restaurant, to a hyper-gloss ’80s couple posing on a car. The visuals, shared to Instagram, read as high-production fashion editorials.
Only later did the brand disclose that they were generated by AI. When creative director Demna was asked if the decision was controversial, he told CNN backstage at his debut show: “I don’t think so. I think this is 2026. I’m using things as a tool. If I can use it to do something that gives me a quick idea or visualization of something, why shouldn’t I do it? It’s like, in 2008, retailers were refusing e-commerce because it was not quality. I find it ridiculous.” Precedence Research predicts that the AI fashion market will be worth $60 billion by 2034, with annual growth rates nearing 40%. Already, brands across the sector are integrating generative tools into both creative and production workflows. Valentino, for example, began experimenting with AI in campaigns last September, using AI visuals generated from original footage of its Le Méta-Théâtre Des Intimités show as part of its Vans collaboration. More recently, the house enlisted digital artist Total Emotional Awareness to create a surreal, AI-generated collage to promote its DeVain handbag. Guess has also experimented with the technology, producing an AI-made advert with creative company Seraphinne Vallora for its summer campaign last year. Meanwhile, high street players such as H&M and Levi’s have trialed AI-generated models to streamline production and reduce costs. But consumer responses remain fragmented. The debate has coalesced around the term “AI slop”, often used to describe the influx of low-quality, generic content produced at scale. In practice, however, the definition is far less clear-cut. For some audiences any visible use of AI is dismissed as slop; for others, the issue lies not in the tool itself but in how it is used. The result is a spectrum, from subtle AI-assisted enhancements, such as retouching or background generation, to fully synthetic campaigns with no humanmade elements, accompanied by an equally varied public reaction. For brands this ambiguity presents a strategic challenge that is defining marketing strategy in 2026 and beyond. While AI adoption continues to expand within production pipelines many brands are reinforcing signals of human creativity in their outward-facing work, from craft-led storytelling to tactile design and real-world experiences. Others are taking a more experimental approach, testing the boundaries of audience acceptance in anticipation of a future where AI is not only normalized, but expected. The AI paradox in luxury Generative tools offer clear advantages: speed, efficiency and reduced costs. But these benefits sit in direct opposition to the principles that have long underpinned luxury value: time, craftsmanship, and human expertise. “AI as a concept doesn’t feel luxurious, because it’s something that can be done quickly and cheaply by a machine versus by a human. It kind of goes against traditional luxury codes,” says Charlie Smith, CMO of Nothing and formerly Loewe. Despite this, its adoption is already deeply embedded in creative workflows, often behind the scenes. “If you speak to almost any fashion photographer and their team, they’re now using AI to do retouching rather than having a person on Photoshop recoloring a button, because it’s much faster and often more effective. There are also people doing shoots and then completely creating a whole new environment behind the person using AI.” This growing reliance on AI is beginning to challenge one of luxury’s most powerful narratives: the arbitration of taste. “AI makes content creation lazy, and, as the name suggests, artificial,” brand consultant Karmen Tsang says. “Luxury brands rely on craftsmanship, storytelling, and cultural leadership; they need to shape taste and define trends to create emotional aspiration.” Over-reliance on AI, she warns, risks producing work that is derivative rather than distinctive. “The content can become instantly forgettable, and adds little real value.” Signaling human touch and expertise In response, luxury brands are increasingly foregrounding craft as a storytelling device. Campaigns such as Bottega Veneta’s “Craft Is Our Language”, unveiled last July, make the human hand explicitly visible — spotlighting the gestures of writers and designers from Tyler, the Creator to Zadie Smith, alongside the brand’s first design director, Edward Buchanan. Similarly, Bally’s “Return to Heritage” campaign reasserted artisanal legacy as a central pillar of the brand’s identity. As AI continues to proliferate, however, brands are pushing this logic further, moving beyond storytelling into the more explicit visual signaling of human authorship. Increasingly, this manifests through a deliberate embrace of imperfection. “Creatives are leaning into imperfection. Messiness, texture, scribbles, and slightly awkward compositions are becoming visual cues of human involvement,” says Agustina Panzoni, head of culture strategy at Death to Stock. This aesthetic spans everything from childlike linework and irregular typography, to intentionally unpolished layouts that resist the symmetry and precision associated with AI-generated imagery. In sectors such as food and hospitality, these cues have become particularly prevalent, visible in the off-kilter identities of brands like Jolene and Sandbox Coffee Roasters, where naivety and childish handwriting are signals of authenticity rather than a lack of refinement. Alongside, a parallel design language is emerging, one rooted in technical and specialist visual codes. Blueprints, chemical diagrams, and patent-style illustrations are increasingly appearing across packaging, out-of-home campaigns, and digital design. For example, campaigns from brands such as The Ordinary, which incorporate scientific diagrams into billboard creative, and packaging from niche olive oil brand Twelve using blueprint-style graphics. These references evoke depth, artisanal credibility, and an understanding of how things actually get made, qualities that stand in contrast to the generalist outputs of generative AI that can be prompted without any technical know-how. “These references suggest slower, more specialized knowledge in a world shaped by generalist tools,” Panzoni says in a video about anti-slop design. “AI can copy the look, but designers are using these cues to point toward work grounded in actual expertise rather than frictionless output.” Rather than a passing backlash, this evolution points to a deeper recalibration of luxury and brand communication. “As AI normalizes perfection and speed, brands are rediscovering the emotional power of the human touch,” say Emily Rhodes and Rose Coffey, The Future Laboratory’s head of visual trends and senior retail analyst, respectively. In an environment defined by scale and sameness, it is precisely the signals of effort, imperfection, and expertise that are becoming the most potent drivers of distinction. Embrace the absurd Not all brands are avoiding AI entirely. Some are experimenting by leaning into the technology’s quirks and limitations. “When I was at Loewe, we did a TikTok video based on that trend ‘AI or not AI’, where you had to guess which images were real or fake,” says Smith. “If you lean into it with a sense of humor and playfulness, I think it can work.” This self-aware approach reframes AI not as a substitute for creativity, but as a cultural commentary. “We’re seeing a lot of emerging ads deliberately poking fun at the absurdity of AI slop,” says Cassandra Napoli, head of consumer forecasting at WGSN. “These ads nod to the uncanny valley within content that will only become more difficult to distinguish moving forward, and make a considered case for the human role in creativity.” A notable example came from Almond Breeze. In a campaign for the plan-based milk, the Jonas Brothers meet with marketing executives who propose a series of bizarre AI-generated concepts: the band floating through space, starring in perfume-style shirtless ads, and riding a giant almond like a horse. After rejecting each absurd pitch, the band settles on a simple message: “Almond Breeze: It’s really good.” Other brands are taking the opposite approach, embracing AI aesthetics in their entirety. Vodka brand Svedka recently debuted one of the first almost fully AI-generated Super Bowl commercials. The campaign revived the brand’s long-dormant mascot, the Svedka Fembot, alongside a new counterpart named Brobot. Created by the studio Silverside AI — the same team behind Coca-Cola’s controversial AI-generated holiday advert — the spot features the robotic duo dancing among human party-goers to much online controversy. Bring audiences back into the real world As AI technologies reach greater sophistication, the distinction between human and machine-made content is likely to become harder to detect. At the same time, digital outputs will no longer function as reliable markers of authenticity, particularly as control over models — and therefore their outputs — become increasingly concentrated. In this context, the strategic focus shifts from combating “AI slop” to moving beyond the screen entirely. While IRL activations have long been a staple of fashion marketing, from exhibitions to branded pop-ups, generative AI is accelerating their strategic importance. Forecasters are already tracking this evolution. “Disruption will come from the things that bring us back to what makes us feel alive,” says Napoli. Her team anticipates a shift toward immersive, multisensory brand experiences that prioritize emotional engagement. WGSN has termed this shift “sensorymaxxing”, identifying it as a defining marketing principle in the coming years. The approach moves beyond purely visual storytelling to incorporate sound, scent, texture, and taste, from sonic branding and signature retail fragrances to tactile packaging and experiential events. Looking further ahead, the consultancy predicts a broader “sensorial reset”, where brands compete on the emotional resonance of physical environments as much as on visual identity. For brands, this translates into a renewed emphasis on presence over pixels. “The rise of AI might actually create an opportunity for us to become more human and emotional again,” says Nothing’s Smith. In practical terms, this means investing in environments where audiences can physically engage with a brand, rather than passively consuming content. “We actually have a community advisor on our board to help keep us connected to them,” he adds. The brand regularly hosts in-person events, from fashion-focused watch parties in Paris — created in partnership with French content creator Lyas — to music-led gatherings that bring hundreds of attendees together in one shared space. For marketers, these formats offer what generative AI cannot: friction, materiality, and human presence. In this landscape, ‘human-made’ becomes a marker of status — something consumers can see, feel, and trust. As a result, community-building is being repositioned as a status symbol. Even AI companies are operationalizing this approach. Anthropic recently opened a pop-up in New York’s West Village, which it described as a “Zero Slop Zone”, encouraging visitors to disconnect from their devices, drink coffee, and read a printed essay by its CEO. Baseball caps emblazoned with the word “thinking” were distributed — a deliberately analogue gesture within a highly technical industry. Entry, however, still required downloading the company’s AI model, Claude, underscoring the complex interplay between digital innovation and physical experience. From AI slop to AI as ordinary The current backlash against generative imagery has been intense, but many industry observers believe it reflects a transitional moment rather than a permanent rejection. While consumers and creatives are currently criticizing AI-generated campaigns — often for being derivative or aesthetically flat — the technology’s long-term trajectory may look less dramatic. Over time, experts argue, AI will likely fade into the background of creative workflows, becoming less of a novelty and more of an invisible infrastructure. “I feel like AI is going to become like electricity or the internet, where it’s just a given that it’s used,” says Smith. In his view, the debate surrounding generative tools today mirrors earlier technological disruptions, which provoked skepticism before becoming standard practice. Within fashion, the shift toward digital design software provides a useful precedent. “Photoshop is an interesting example. If you think about fashion design historically, the process involved people making sketches. From those sketches, samples would be made,” he explains. Designers would produce prototypes, edit them repeatedly, and eventually narrow those iterations down into a final collection. The process was time-intensive and often required multiple physical samples before a final look was approved, he continues. Digital tools gradually altered that workflow. “Then, we moved into a scenario where people began using Photoshop rather than sketches to create looks. That allowed for a much more accurate representation of what the final sample would look like,” Smith continues. By enabling designers to visualize garments more precisely before producing physical prototypes, the software reduced waste, accelerated development cycles, and allowed creative teams to experiment more freely. From that perspective, AI may simply represent the next stage in a longer evolution of creative technology. “To me, it makes total sense that instead of manually Photoshopping all those different looks you could use AI to generate them based on sketches, prompts, or archival imagery,” he adds. What distinguishes the most compelling uses, however, is not the algorithm itself but the human direction behind it. “At the moment, the only way to make good AI art is to have a human with really good taste feeding inputs into the model, then providing feedback and iterating on it until it looks right,” Smith says. Rather than replacing creative roles, AI may function primarily as a productivity tool — a way to expand experimentation while leaving aesthetic judgement firmly in human hands. “I don’t think it’s going to replace humans in the creative sphere anytime soon. Instead, it’s going to be about humans harnessing AI to increase their creativity.” Forecasters believe this dynamic will eventually lead to a phase where the technology becomes culturally unremarkable. “We’re predicting that AI as ordinary will emerge by 2028,” says WGSN’s Napoli. In that scenario, generative tools will neither dominate cultural conversation nor provoke widespread backlash; instead, they will operate quietly behind the scenes, integrated into everyday workflows in much the same way as image-editing software or analytics platforms today. “AI integration is seen neither as a miracle nor a menace. Instead, it will be an ambient, intuitive tool to increase personalization and convenience.” The normalization of AI will likely coincide with greater scrutiny around transparency and trust. As consumers become more aware of how generative systems shape marketing and media, they may expect brands to communicate their use of the technology more clearly. “Consumers will ultimately expect you to be transparent about how you are using it to make things better, not just faster or cheaper for the business,” Napoli says. She describes the balancing act brands will need to perform as the “harmony of convergence”: a strategy in which AI enhances efficiency while human creativity continues to define brand identity. For marketers, that balance will be critical. “Brands will need to navigate the hype and the growing skepticism surrounding it by integrating AI marketing strategies with care,” Napoli adds. In practice, this means using generative tools to streamline operational tasks — such as data analysis, personalization, and content production — while freeing creative teams to focus on what algorithms cannot easily replicate: emotional storytelling, cultural insight, and creative risk-taking. “AI will need to be an assistive tool so brands can devote more effort to marketing elements that require creativity, care, critical thinking, and connection.” Some industry leaders expect a hybrid model to emerge as the dominant approach. “I’d like to think 2026 will be the year of 100% human marketing, but realistically, I think we’ll move toward a more ‘hybrid’ approach,” says consultant Tsang. In this scenario, AI handles scale and efficiency, while humans remain responsible for direction, meaning, and cultural relevance. As the technology matures, the distinction between AI marketing and traditional creative practice may become less meaningful. Instead, the most successful campaigns will likely be those where the technology fades from view entirely — leaving audiences focused not on how something was made, but on the emotional impact of the final result.
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