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AI is beginning to shape which brands make a shopper’s shortlist, but it has not displaced traditional search or taken over most purchase decisions. Surveys suggest AI can introduce unfamiliar options and expand consideration; shoppers still search, verify details and prefer to keep control of the final choice.
How is AI changing the way people shop?
AI can act as a synthesis and recommendation layer between a shopper’s question and the products they consider. Instead of scanning a list of links, someone may ask a chatbot or search engine’s AI feature to compare options, summarize reviews or suggest alternatives. That can change which products or brands the shopper notices before visiting a retailer or brand site.
The clearest evidence of this effect comes from surveys of people who already use AI for shopping research. In an October 2026 Adobe for Business survey of 1,011 U.S. consumers who use large language models (LLMs) to research, compare and choose purchases, 62% said they had bought from a brand they would not otherwise have considered based strictly on an AI recommendation. In the same group, 59% said they would abandon a preferred brand for an unfamiliar competitor if AI recommended it. These are respondents’ reports of past behavior and stated willingness—not measurements showing that AI caused a particular increase in sales across shoppers generally.
Other survey results point to a similar expansion of the shortlist. Gartner surveyed 377 U.S. consumers in June–July 2025 and found that 31% said Google AI Overviews led them to consider more product options, while 7% said they considered fewer. These responses suggest AI summaries can broaden consideration, but they do not establish that shoppers ultimately bought the new options.
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Do AI recommendations influence what consumers buy?
They can influence discovery and brand consideration, according to self-reported findings, but “influence” does not necessarily mean handing over the purchase decision. The Adobe for Business survey’s reported purchases and willingness to switch show that AI recommendations can matter to some U.S. consumers who already use LLMs for shopping research. They do not show how often recommendations are accurate, whether shoppers would have found the same brand through another route, or whether the effect applies to consumers who do not use LLMs.
A broader estimate comes from NielsenIQ (NIQ) and World Data Lab. NIQ’s August 27, 2026 release says nearly three-quarters of shoppers use AI during product discovery. The release summarizes a global report but does not provide the survey sample size or field dates, so that figure is best read as a broad indication of reported use—not as directly comparable with the more narrowly defined U.S. survey results.
Consideration is only one point in the buying journey. A recommendation may prompt a shopper to investigate a brand, but price, availability, product fit, return terms and verified claims can still determine whether it makes the final choice.
Is AI replacing traditional search?
No. The available evidence describes overlap: consumers are using AI features while continuing to rely on conventional search and other sources. In Gartner’s survey of 377 U.S. consumers conducted in June–July 2025, only about one-third thought generative AI chatbots were as effective as search engines for learning new information. More than two-thirds said they continued searching after seeing a Google AI Overview.
Adobe’s 2026 AI and Digital Trends consumer report, based on a global survey fielded in October–November 2025, likewise identifies traditional search as the most often used research source. AI-powered platforms were a top research source for roughly a quarter of customers. The populations, wording and field dates differ from Gartner’s, so the percentages should not be treated as results from a single head-to-head test.
A Microsoft Research eye-tracking study presented at the International ACM SIGIR Conference in July 2026 adds an observation about behavior on search pages: participants engaged more with GenAI content, while traditional blue-link scanning remained. That study setting helps show that AI content can draw attention without eliminating link-based browsing. It does not establish that AI recommendations cause purchases or that every user searches the same way.
Do AI summaries save shoppers time?
Not consistently. Gartner’s June–July 2025 survey of 377 U.S. consumers found that 31% said AI summaries made them spend more time searching for information, compared with 16% who said they spent less. The finding fits with the report that more than two-thirds continued beyond Google’s AI Overview: a summary may answer part of a question, but it can also prompt follow-up searches or verification.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallFor a shopper, the useful distinction is between summarizing information and resolving the decision. AI may make a comparison easier to start, yet details such as current price, model specifications, compatibility, stock and return rules can change or be presented differently across sellers. Check those decision-critical facts at the retailer or manufacturer before acting on a recommendation.
How much control do consumers want AI to have?
Survey findings point more strongly toward assistance than delegation. In a January 2026 Gartner survey of 322 U.S. consumers, 31% said they would let AI narrow household-supply options, and 28% would let it narrow personal-electronics choices. Willingness to let AI make purchase decisions peaked at 11% across lower-stakes categories.
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That distinction matters: asking AI to filter a large set of options is not the same as authorizing it to choose and buy. Gartner analyst Kate Muhl summarized the January survey this way: “Consumers are not looking to outsource shopping decisions to AI.” She said shoppers want help finding information, comparing prices, identifying deals and narrowing choices while retaining final decision-making control.
Why do accuracy and trust remain barriers?
AI output can be useful as a starting point, but shoppers may need to verify it. In a separate Gartner survey of 846 U.S. consumers fielded in November–December 2025, 54% of recent users of AI for purchase-related tasks said they had to double-check all information supplied by generative AI. In that same surveyed group, 62% said the information wasted their time.
Brand information can also affect confidence. In Adobe for Business’s October 2026 survey of 1,011 U.S. LLM users researching purchases, 59% said incorrect information displayed by AI would reduce their trust in a brand. This is a self-reported reaction, not evidence that every incorrect AI summary produces the same effect. It does underline why a polished answer should not be treated as proof that a product claim, price or policy is correct.
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For shoppers, verify claims that could change the purchase: the exact product model, compatibility, total cost, availability, warranty and return terms. For brands, the practical implication is that clear, consistent product information matters wherever AI systems may summarize it. Gartner analyst Kate Muhl put the issue succinctly: “Accuracy is now a brand issue.”
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should shoppers use AI recommendations?
- Use AI to widen or organize the shortlist. Ask for alternatives, comparison criteria or a summary of trade-offs rather than treating one recommendation as a final answer.
- Ask what the recommendation is based on. Request the factors behind a suggestion—such as budget, use case or specific features—so you can judge whether the reasoning matches your needs.
- Check consequential details with the seller or manufacturer. Confirm model numbers, current prices, stock, compatibility, warranties and return policies on the relevant official product or retailer page.
- Compare more than one source when details matter. A chatbot response, a search summary and a product page may not reflect the same information or update at the same time.
- Make the final choice yourself. Treat AI as an aid to discovery and comparison, not as a substitute for deciding whether the product is right for you.
What the evidence does—and does not—show
The cited surveys differ in geography, population, question wording and timing. Gartner’s cited studies concern U.S. consumers; Adobe’s 2026 AI and Digital Trends survey is global; Adobe for Business’s October 2026 brand-switching findings concern U.S. consumers already using LLMs for shopping research; and NIQ’s August 2026 release does not disclose the sample size or field dates for its global estimate. Their percentages should not be combined or read as a single trend line.
Most of the evidence is self-reported survey data. It indicates what respondents say they do, experience or would consider, rather than proving that AI universally changes purchases or improves decisions. Taken together, the findings support a measured conclusion: AI is changing some shoppers’ discovery and comparison process, while traditional search remains in use and many consumers want help narrowing choices without giving up the final decision.
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