Two people, same website, completely different stores. That’s the future of shopping

31 Aug 2026 · 1 min

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In this monologue, Dan Novaes explains how online shopping is shifting from presenting a uniform catalog to delivering fully personalized storefronts powered by generative AI. He outlines how existing recommendation systems already rank products based on user behavior, and how future AI assistants could create unique product selections, descriptions, and persuasive narratives for each individual visitor. Novaes highlights the business potential of such hyper‑personalization—allowing retailers to influence purchase decisions more effectively—while warning that this also raises consumer transparency concerns, as shoppers may never know which items the AI chose to hide. The core message is that the future of e‑commerce may be less about offering more choices and more about trusting AI to curate the choices you see.

Chapters

When you shop online, you think you're choosing from thousands of products. But increasingly, AI may decide which ones you notice first. Online stores already use recommendation systems to rank products. What you've clicked, what you've bought, what similar customers liked. Generative AI could take this much further. Instead of showing everyone the same store, an AI shopping assistant could build a completely personalized storefront just for you. Different products, different descriptions, different recommendations, even different ways of explaining why something is worth buying. 2 people could visit the same retailer and experience completely different stores. That's powerful for businesses. But it creates a new problem for consumers. If AI controls what you see, you may never know what it decided not to show you. The future of online shopping may not be about searching through more choices. It could be about trusting an AI to decide which choices you see at all.