Fashion's AI Secret: Why the Industry Stays Silent on Its Tech Use

There is a particular kind of silence in fashion that signals something important. It is not the silence of brands that have nothing to say; it is the silence of brands that have plenty to say and have chosen not to. Nowhere is this more apparent right now than in the industry's relationship with artificial intelligence. Most big fashion and retail players are using AI. And most of them would rather you didn't know exactly how.

That is the central tension examined in Business of Fashion's Tech Mode, the publication's monthly guide to how AI and other technologies are reshaping the fashion industry. The analysis looks at the increasing but discreet use of AI across fashion, spanning trend forecasting, creative concepting, inventory planning, and customer discovery, and asks the question that the industry itself seems reluctant to answer: why do so many brands avoid public discussions of their AI deployments?

The Quiet Revolution Already Underway

The use cases are neither experimental nor marginal. Trend forecasting, once reliant on a combination of runway analysis, street-style scouting, and editorial intuition, is being augmented by AI systems capable of processing vastly larger signals far faster than any human team. Creative concepting, the earliest and often most sensitive part of a design process, is being shaped by generative tools that some brands treat as closely guarded competitive infrastructure. On the operational side, inventory planning and customer discovery represent perhaps the least glamorous but most financially consequential applications, where AI can reduce overstock, sharpen targeting, and shift margins in meaningful ways.

The breadth of adoption is striking. And yet the public conversation from brands themselves remains, largely, absent.

Simulating the Shopper

One of the more quietly radical developments is the rise of synthetic consumer research. This is the practice of using AI to simulate shoppers, creating what amounts to an AI-generated focus group that can test products, pricing, and marketing campaigns before they reach a single real customer. As Business of Fashion puts it, "synthetic consumer research, where AI is used to simulate shoppers, is emerging as a cutting-edge way for brands and retailers to better understand their customers and test everything from products to marketing campaigns before they launch."

The implications are significant. Traditional focus groups are expensive, slow, geographically limited, and subject to all the biases of self-selecting participants. AI-simulated research can, in theory, run faster, at lower cost, and across a far wider range of consumer profiles. For a luxury brand testing a new fragrance campaign or a fast-fashion retailer stress-testing a trend buy, the appeal is obvious. The fact that this methodology is emerging with so little public fanfare from the brands using it says as much about the industry's communication strategy as it does about the technology itself.

The New Visibility Race

If there is one area where brands may eventually be forced to speak openly about AI, it is discoverability. Getting recommended by ChatGPT, Claude, Gemini, and other AI chatbots is fast emerging as a competitive advantage for fashion brands. As these tools become the first stop for consumers asking questions like "what are the best sustainable trainers right now" or "which coat should I buy this season," the brands that surface in those answers gain an edge that operates entirely outside the traditional logic of search engine optimisation or paid social.

Business of Fashion frames this as a direct question the industry needs to answer: "As AI reshapes discovery, which brands are being favoured by AI and why?" The answer is not yet clear, but the stakes are. Columnist Andrea Felsted, writing in her opinion piece "Online Shopping Could Be AI's Next Victim," argues that "the more conversational commerce becomes, the more important generative engine optimisation will be." This concept, often abbreviated as GEO, represents the emerging discipline of ensuring that a brand's products, language, and data architecture make it legible and preferable to AI recommendation systems, not just human search engines.

The challenge is that GEO is not simply a technical checkbox. As Business of Fashion notes in its practical guide to preparing for AI agents, "making sure AI agents can seamlessly buy your products takes more than cleaning up product data and then sitting back and waiting for them to find you." The work is structural, strategic, and ongoing. Brands that treat it as a back-end IT task rather than a front-facing commercial priority may find themselves invisible precisely at the moment when AI-driven discovery becomes the dominant shopping channel.

Why the Silence?

The more interesting question, and the one the industry has not answered loudly enough, is why so many brands are keeping their AI use quiet. Business of Fashion identifies the dynamic without fully resolving it: the use is increasing, the applications are significant, and yet public discussion is deliberately subdued.

Several pressures contribute to that quiet. Competitive secrecy plays a role: a brand that has built a genuinely effective AI infrastructure for trend forecasting or inventory planning has little incentive to publish its playbook. Brand image is another factor, particularly at the luxury end of the market, where the mythology of human craft and creative genius remains commercially valuable. Telling a customer that a collection concept was developed with generative AI tools is a different conversation than telling them it was born from the imagination of a creative director with decades of experience, even if both statements could be simultaneously true.

There are also subtler concerns: labor relations, given that AI adoption at scale raises questions about creative and operational headcount; consumer perception, given that AI associations can skew either aspirational or anxiety-inducing depending on the audience; and legal exposure, given that the regulatory landscape around AI-generated content and data use is still being written.

None of these pressures are unique to fashion. But fashion, more than most industries, trades in narrative and mystique. The perceived origin of a garment, campaign, or collection matters to how it is received. AI disrupts that narrative in ways that brands are still figuring out how to manage.

What Comes Next

The silence will not hold indefinitely. As AI chatbots become standard entry points for shopping decisions, and as generative engine optimisation becomes as fundamental as SEO once did, the brands that have been quietly building AI capabilities will face increasing pressure to articulate what they are doing and why. The competitive advantage of discretion has a shelf life.

For now, the industry is in a peculiar in-between state: most players are using the technology, few are talking about it publicly, and the consumers interacting with AI-recommended products may not know they are doing so. The conversation is coming. The brands that have been thinking about it longest will be the ones best positioned to shape it.