Imagine this: you want a pair of black boots from Balenciaga. You open Google, type “Balenciaga boots black” and the search begins: endless results, tabs, filters, sizes and prices as well as scrolling, comparing, doubting, repeating.

This is how the shopping experience has become today: the product selection is exploding while consumer attention is waning. Searching feels time-consuming and customer journeys are becoming longer and longer. At the same time, conversion rates are falling and brands continue to pay for every click and impression, while potential customers remain stuck in decision paralysis.

Now imagine the same moment in 2026. You want the exact same pair of boots, but shopping no longer starts with the search bar but with a conversation with your AI agent.

Author

Carmen Martínez Ferrer, Senior Data Analyst at Farfetch and founder of @thedatafashionbrief.

As a senior data analyst at luxury online store Farfetch, she integrates AI into marketing analysis and campaign optimization to drive data-driven growth. Ferrer is also the founder of the Instagram and TikTok account @Thedatafashionbrief, which presents fashion news from a data-driven perspective.

A clear example of this is OpenAI. The company has practically become one of retail’s biggest competitors with the introduction of shopping agents in ChatGPT. Consumers can shop directly on ChatGPT and receive personalized weekly pick lists based on their previous purchases. This saves you hours of scrolling because AI does the comparison for you.

But there is one crucial difference: ChatGPT is not Google. You can’t buy placement and you can’t work your way to the top through SEO.

AI selects brands based on clarity. This is exactly why beauty and lifestyle brands Glossier and Skims were the first to launch on ChatGPT. Each brand can be explained in a single, clear sentence. This way the AI ​​understands exactly who it is intended for and when it should recommend it.

Gen Z is leading change in purchasing behavior

This behavioral change is already happening. Google Trends shows that searches for terms like “AI shopping” and “shopping agent” increased by 1,900 percent between May and December 2025 (see graphic below). This signals a clear increase in consumer awareness and intentions. Buyers are no longer just looking for products, but are actively looking for orientation.

Image: Data: Google Trends

At the same time, general consumer confidence is shifting. A 2026 report from McKinsey and Business of Fashion shows that 41 percent of consumers trust generative AI search results more than traditional advertising. In addition, 85 percent report higher satisfaction with AI-supported customer journeys compared to traditional ones.

But the real momentum is coming from Gen Z. According to Vogue Business’ Gen Z Broke the Marketing Funnel report, nearly a third of Gen Z consumers now find shopping stupid. Endless scrolling, constant brand messaging, and creator-driven sales have turned shopping into pure noise.

As a result, Gen Z is reshaping their purchasing behavior. They chase the thrill of searching through second-hand and vintage. They return to brick-and-mortar stores to experience something, not for efficiency reasons. They seek advice in smaller, more private digital spaces where recommendations feel personal.

AI as a shopping companion, not as a salesperson

AI agents naturally fit into the picture here. The same Vogue report shows that around 60 percent of Gen Z consumers have used AI tools to support a purchase. This includes checking quality, collecting reviews or checking whether an item is cheaper elsewhere. For Gen Z, AI is already integrated into the shopping experience as a neutral guide.

The first examples already exist. Tools like Phia, a platform that compares prices across different marketplaces, are gaining traction. Other emerging shopping agents that focus on fashion discoveries, styling or second-hand are also becoming increasingly popular. They are becoming more important because they solve trust problems, excessive demands and reluctance to make decisions all at once. They don’t push products, but rather cut through the noise and recommend based on behavior, not spend, of a brand.

What brands need to adapt to now

Brands face structural challenges and must adapt quickly. AI-powered shopping breaks the logic that retail has relied on for decades: there is no paid placement.

AI selects brands based on clarity and trust. How well a brand can be understood, positioned and aligned to a specific need in a single moment is now more important than the amount of traffic it can buy.

Brands need to rethink how they appear in these conversations. The journey of discovery must feel effortless, not overwhelming; Shopping needs to feel conversational, not transactional. Sustainability and secondhand must be embedded into the experience, and the community must feel cultural, not artificial.

So the question every brand should ask itself is: Can your brand be explained in a single, clear sentence? If not, AI agents will not recommend them with conviction. And if an AI doesn’t recommend you, you don’t exist.

Carmen Martínez Ferrer, Senior Data Analyst at Farfetch and founder of @thedatafashionbrief
Carmen Martínez Ferrer, Senior Data Analyst at Farfetch and founder of @thedatafashionbrief. Image: Carmen Martínez Ferrer
This article was created using digital tools translated.


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