When the algorithm decides: How agentic AI is challenging luxury brands

Picture a client in her late 30s — financially unconstrained, culturally fluent, and deliberately short on time. She needs an outfit for a private dinner in Milan. She doesn’t browse. She tells her personal style agent what she needs, and by the time she lands, the decision has already been made. Her desire remains human; the judgment has been delegated. This is agentic commerce: shopping driven by intelligent AI systems capable of interpreting intent, compressing research, and increasingly executing purchases without human involvement. It is no longer a projection. According to McKinsey’s AI Discovery Survey conducted in August 2025, 44% of users who have tried AI-powered search now consider it their primary source for discovery, ahead of traditional search engines, retailer websites, and review platforms. During the 2024 holiday season, Adobe recorded a 1,300% year-on-year surge in traffic to U.S. retail sites driven by generative AI sources. The infrastructure is consolidating rapidly. In January 2026, Google CEO Sundar Pichai unveiled the Universal Commerce Protocol (UCP), an open standard for agentic commerce built with Shopify, Walmart, Target, Etsy, and Wayfair. It covers the full journey, from product discovery through checkout and post-purchase support. The protocol allows AI agents to transact across platforms without requiring custom integrations and positions agents, rather than browsers, as the primary point of commercial contact. For most consumer categories, this shift represents a distribution challenge. For luxury, it is something more fundamental. The misrepresentation risk Luxury brands have always competed for attention. In an agentic environment, they compete for correct interpretation — and increasingly, for citability. As keyword search gives way to synthesized answers, visibility alone is no longer sufficient; what matters is whether a brand is referenced and how. Systems such as Amazon’s Rufus and Google’s Gemini are shaping shopping outcomes long before brand contact. What those systems understand early becomes decisive. What they misunderstand never reaches the human layer at all. Evelyn Mora, CEO and founder of VLGE Inc. (formerly Digital Village), a Helsinki-born, Paris-based AI-powered SaaS platform, describes the problem precisely. “Desire is not a spreadsheet problem,” she says. “It’s embodied, spatial, and emotional. It’s shaped by context, narrative, identity, and memory.” Most commercial intelligence, she argues, still relies on proxies that flatten this reality — clicks, last-touch attribution, retrospective dashboards — describing outcomes without capturing the internal logic that produces them. The consequences for luxury are specific. When a handcrafted coat and a premium substitute are processed as data, they may differ profoundly in cultural meaning yet appear adjacent when reduced to silhouette and material category. Heritage collapses into provenance data. Craft becomes a material specification. The brand shifts from destination to recommendation — and in the worst case, is surfaced for entirely the wrong reasons. The deeper risk is not invisibility. It is misrepresentation, repeated quietly until meaning erodes. Structuring brand identity for agentic AI Brands that do not actively shape how they are interpreted cede that function to systems operating on averages. Trust migrates from the brand to the intelligence mediating choice. And once interpretation is fully externalized, recovering authorship is considerably harder than maintaining it. The loyalty stakes compound: when an agent knows a client’s preferences better than any competing brand, loyalty becomes structural rather than emotional — embedded in the system and hard to displace. The strategic response is not simply a technical one. Brands need to structure their identity — product data, archival material, service language, cultural positioning — so intelligent systems can read meaning accurately, going beyond category, material, and price to a structured cultural definition that guides recommendations. As Mora puts it, these systems remain “flat, delayed, and reductive” precisely because they were never designed to understand desire on its own terms. The brands best positioned in an agentic environment will be those that give those systems something richer to work with — before the client ever arrives. Carlotta Rodben is a luxury innovation specialist and author of “Beyond Luxury: The Promise of Emotion.” She previously led innovation at Chanel and now advises luxury brands on strategy and transformation.

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When the algorithm decides: How agentic AI is challenging luxury brands