By Stephen Honight

Browsing is not dead, for now. I don't think it is going to be the default behaviour that defines how purchase decisions get made in the future, though. For decades, the act of shopping meant scanning shelves (online or in person), opening tabs or walking to new stores, comparing specs, reading reviews or asking in-store assistants and gradually narrowing options. What will likely change is who or what performs those tasks for us.

Going back thirty years, problem solving meant books, magazines, or finding subject experts. Fifteen years ago, it meant search engines, blue links and reading content online. Now, it increasingly means delegation to AI. The surfaces we use to answer questions tend to be the same surfaces we use to evaluate and select the products we buy. That evolution is from physical shops/mail order magazines to websites and now AI platforms. The shift matters because it changes the mechanics of discovery quite a lot. The browsing requirement becomes more optional and we increasingly are able to delegate part of the workflow. Gartner has explicitly forecast a decline in search as users shift to AI chatbots and virtual agents.

Browsing, both in physical shopping and on the web, has always been about refinement of choices to enrich the selection process. It is the process of exploring a wide field of options, applying constraints, clicking browse nodes or ranking price low to high, and arriving at a decision that feels justified for the purchase to take place. Arguably it is cognitively expensive, in relative terms. Over the past few decades, consumer markets have expanded significantly. The ease of launching a brand has simplified and the number of choices in a lot of retail spaces has somewhat exploded. That means what used to be a small set of clearly differentiated options, which was easy to browse, has now become an overwhelming matrix of price tiers, features, claims and bundles.

On the topic of low cognitive load, humans often, or nearly always, gravitate toward the path of least resistance. When choice overload reaches a certain threshold, tools that reduce decision friction inevitably get traction. This is consistent with classic research on choice overload showing that increasing choice can reduce purchasing and satisfaction in certain contexts. I think that AI agents represent the next logical step in this evolution, as they can actively perform the narrowing process on your behalf. And this is not a new concept, is it?

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