Luxury’s AI reckoning has already begun

Conversations with people across retail, buying and allocation, HR, and the AI companies that work with fashion point to the same thing: luxury’s AI transformation is already underway, quietly and a few keystrokes at a time, with consequences that reach well beyond the back office. Luxury job listings increasingly call for AI talent. Tiffany & Co. is recruiting for an AI product manager; Louis Vuitton wants senior data scientists with hands-on agentic AI deployment experience. Across LVMH, Kering, Richemont, Hermès and Chanel, technology teams are expanding, and AI roles rank among the fastest-growing in the industry. Even at companies without an explicit AI strategy, adoption is taking hold from the bottom up, on its own. At the retail level in China, sales associates at many luxury brands have taken up AI on their own, generating images that show clients how a product might look worn, or how it might read in a different setting. The visuals give a customer’s imagination something to work with. More often than not, this happens without formal sign-off from headquarters — a gray zone the brands have, so far, chosen to tolerate. Over 70% of Chinese consumers now use AI-related information to guide beauty purchases — well above the global average of 40% — according to figures from L’Oréal China chief executive Vincent Boinay, reported by China Daily. The same logic extends, arguably further, to luxury. And because Chinese shoppers are among the industry’s most important buyers, a sector built on handcraft and heritage faces a reckoning over where AI fits. Why AI might be luxury’s best sustainability tool Further up the supply chain, fashion and luxury brands have already woven AI into daily operations. Teams use it to interpret sales budgets and work out open-to-buy figures, to model sell-through rates, stock-to-sales ratios and markups, to find pricing sweet spots, and even to surface color direction for coming seasons. McKinsey senior partner Holger Harreis has drawn an unlikely parallel between AI and sustainability: sharper prototype visualization cuts the number of samples that have to be physically produced; more precise demand forecasting lifts sell-through, so less unsold stock is marked down or wasted; smarter logistics allows for more targeted shipping. Those efficiency gains, he says, compound into real environmental impact. Speed gap: Chinese brands vs. European houses How quickly a brand adapts to AI has everything to do with its culture. Chinese brands have moved fast and with conviction, treating AI as a source of speed and cost savings. During Taobao’s 618 festival, livestreams run around the clock; by the small hours, the hosts on screen are AI. Chow Tai Fook, the Hong Kong-listed jeweler with more than 24,000 employees, has deployed over 400 customized AI agents across its operations, and staff have logged millions of interactions with them — work the company says has streamlined complex tasks and lifted efficiency on key processes by more than 70%. Across product design, marketing, membership management and financial planning, domestic players have pushed AI further and faster than their European counterparts. Domestic brands have AI embedded in their financial planning; luxury houses are still deliberating whether they can feed customer data into an AI system at all. “AI can play a role at every stage — merchandising, content, membership analytics,” said an industry insider who asked for anonymity because they are not authorized to speak with the media. “But the real dilemma for luxury brands is that they know AI is useful. They just don’t know where the boundary is.” The Gucci case The risk runs deeper still. Once AI moves past its role as a support tool, the values luxury is built on — human creativity, craftsmanship, emotional investment — come into question. On February 23, 2026, ahead of creative director Demna’s debut runway show in Milan, Gucci began posting a series of AI-generated images on Instagram and X to tease its “Primavera” collection. The images — a helmet-haired Milanese socialite dining in a wood-paneled restaurant, a glossy couple posing against a vintage car — each carried the label “Created with AI.” The backlash was immediate. Critics called it “AI slop,” the term for the flood of low-quality AI-generated content saturating social media. One comment went viral: “Bleak days when Gucci can’t find a real human Milanese grandmother to wear an outfit from 1976.” Others were blunter: “Why should people pay for a luxury brand that doesn’t even respect itself enough to use real people?” The response was less about technophobia than about something structural: the moment a brand built on the promise of irreplaceable human craft produces imagery any prompt can replicate, it breaks the tacit contract between maker and patron. Demna, characteristically unbothered, told CNN backstage: “I think this is 2026. I’m using things as a tool.” For the brand’s audience, though, the tool had been used in the wrong place at the wrong moment — and they noticed. LVMH’s playbook LVMH has long positioned itself as an innovation-led group. The group began training employees in AI tools in 2023 — starting with 1,500 staff — with a target of reaching 10,000, a program later formalized under the “AI for All” banner in 2025. The group has since integrated AI across 75 of its maisons, from Hennessy to Bvlgari, with most of the work happening in the back end: demand forecasting, stock allocation, logistics optimization. CIO Franck Le Moal has been unambiguous on where this sits relative to previous technology waves: “Unlike the metaverse, which was a flash-in-the-pan, we’re talking about a profound transformation that's here to stay.” AI and generative AI represent a structural shift, already embedded in daily operations. The LVMH Innovation Award, launched in 2017, offers a useful window into how the group's priorities have shifted toward AI. In 2024, generative AI took center stage in the award’s highest-profile edition yet, with Bernard Arnault presenting the Grand Prize himself. The winner, Chinese company FancyTech, had used generative AI to produce 40 product videos for Hublot’s China campaign in two weeks — work that would once have taken months. That year also brought a dedicated Special Mention for “Data, AI and Generative AI Solutions,” awarded to Blng, a generative AI studio for jewelry that turns design sketches into production-ready visuals. By 2025, the focus had turned inward. For the first time, the awards moved away from open recruitment of startups and toward companies already working with LVMH’s maisons, with real deployment and cross-brand scalability as the benchmarks. Omi took the “Most Promising Prize” for the AI-driven 3D visual technology behind Guerlain’s Shalimar centenary; Kahoona won the “Best Business Prize” for its work with Christian Dior, building hyper-personalized browsing for unregistered visitors on the Dior site. At VivaTech 2026, which ran June 17-20, LVMH named its latest “Innovation Award” winners: Synthesia, a text-to-video company, took the “Best Business Prize,” and Bluefish, which helps brands track and improve how they appear inside large language models, won “Most Promising.” The strategy running alongside the awards is telling. LVMH chief omnichannel and data officer Gonzague de Pirey has said the group is working on how it surfaces within LLMs — including putting the Sephora US app inside ChatGPT — but that the goal is to bring customers who start their journey in an LLM back into physical stores. Louis Vuitton, meanwhile, is set to become the next brand to fold agentic AI into its chatbot, even as the group insists the destination remains human service, whether a customer advisor or an in-store associate. Taken together, LVMH’s approach has moved from exploring external technology to validating scalable internal deployment, while holding to one principle throughout: AI is a tool that amplifies people, not a replacement for stores or human contact. That tracks with the brand logic of protecting the craft narratives of its maisons. FancyTech, which won that 2024 “Grand Prize,” has itself grown into a different kind of company as AI has accelerated around it. Founded in China, it now operates at a scale it couldn't have imagined a few years ago. COO Cindy Chen describes going fully AI-integrated as a process that took about six months, and the headcount, she says, didn't drop dramatically. What shifted was the nature of how people worked. “A lot of the brands we work with have a misconception,” she said. “AI doesn’t mean firing everyone. It means the boundaries between roles start to dissolve, that everyone has to step outside their own frame. When you combine AI with your own area of expertise, you can suddenly do things in areas where you previously had no ability — though plenty of people find they can’t make that leap. That’s why innovation has to be something every person on the team genuinely learns.” The posture, she argues, matters as much as the tool. “If you treat AI like a subordinate, something beneath you that you just give orders to, you’re probably only getting 50% of what it can do. When you engage with it as an equal, in real dialogue, that’s when it starts to deliver its full value,” Chen said. For an industry built on the idea of irreplaceable human touch, that framing is worth sitting with. Whether luxury can meet AI on equal footing — as a partner rather than a subordinate — may prove one of the defining stories of this industrial revolution.

Luxury’s AI reckoning has already begun

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Luxury’s AI reckoning has already begun

How Bottega Veneta weaved China’s forever it bag