Amazon to Display AI-Generated Product Images in Search Results Amazon is rolling out a new AI-driven search feature that shows shoppers product images for items that don’t actually exist, promising more intuitive browsing even as critics warn it may confuse customers.

How the feature works

On June 3, Amazon detailed an update to its shopping app search bar that uses generative AI to create images of clothing and home goods based on what users type.

When a shopper describes an item — for example, “shirt with a draped collar” instead of remembering the term “cowl neck” — the app displays several AI-generated versions of that style. Customers can then tap the image that best matches what they had in mind to see real products that look similar. The feature is initially limited to categories like apparel and home goods and is coming to Amazon’s Android and iOS apps.

This approach extends Amazon’s broader push to embed AI in shopping, alongside tools that summarize customer reviews and generate “shoppable collages” of outfits built around a specific item, such as denim shorts.

Supporters’ view: Helping when words fall short

Amazon pitches the feature as a solution for customers who “have something in mind but don’t know the right term to describe it,” using visual variations (sleeve length, cut, texture) to refine results more quickly than text alone.

Critics’ view: Fake images in a real marketplace

Commentators argue the idea is inherently confusing for a site built on real products. One outlet describes it as “one of the more questionable uses of AI to date,” noting that Amazon is displaying “fake photos” in a context where shoppers reasonably expect authenticity. Critics warn users may think they can buy the exact AI-imagined dress or item they clicked, only to be disappointed when no identical product exists, and question why Amazon would “make up fake products” instead of relying on its vast catalog of real photos.

The feature thus sits at the intersection of convenience and potential deception, as Amazon bets that synthetic visuals can meaningfully improve how people search for everyday goods.

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