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How AI changes the shopping shortlist
Recommendations can put unfamiliar brands in contention
In an October 2026 survey for Adobe for Business, 1,011 U.S. consumers who use large language models (LLMs) to research, compare, and choose purchases were asked about AI’s influence. Among this specific group, 62% said they had bought from a brand they otherwise would not have considered based strictly on an AI recommendation. Another 59% said they would abandon a preferred brand for an unfamiliar competitor if AI recommended it.
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These are respondents’ reports and intentions, not evidence that AI caused a purchase or that the same percentages apply to all shoppers. They do suggest that an AI-generated shortlist can expose a shopper to alternatives they might not have sought out on their own.
AI summaries can widen consideration
In a Gartner survey of 377 U.S. consumers conducted in June–July 2025, 31% said Google’s AI Overviews led them to consider more product options, while 7% said they considered fewer. This suggests summaries may expand the set of options some shoppers weigh, rather than simply directing everyone toward a single recommendation.
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Is AI replacing traditional search?
The available findings point to overlap, not a clean handoff from search engines to AI. Adobe’s global 2026 AI and Digital Trends consumer report, based on a survey fielded in October–November 2025, found that traditional search remained the most often used research source; AI-powered platforms were cited as a top source by roughly a quarter of customers.
In a separate Gartner 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. Different surveys measure different populations and questions, so their percentages should not be treated as a head-to-head comparison. Together, they indicate that shoppers can use AI while continuing to rely on search.
A Microsoft Research eye-tracking study presented at the International ACM SIGIR Conference in July 2026 adds an observed-behavior perspective: participants engaged more with generative AI content, while traditional blue-link scanning also remained. That study describes search-page behavior in a research setting; it does not establish that AI recommendations cause purchases or that they displace other sources for all shoppers.
Why an AI summary may lead to more research
An answer presented at the top of a search page does not necessarily end the search. In Gartner’s June–July 2025 survey of 377 U.S. consumers, more than two-thirds said they continued past Google’s AI Overview. In the same survey, 31% said AI summaries made them spend more time searching for information, compared with 16% who said they spent less.
That pattern is consistent with AI acting as a starting point for follow-up checks: a summary can surface an option or a question, while the shopper still seeks more detail elsewhere. It does not show that every user searches longer, or explain why each respondent continued.
Do shoppers want AI to choose what they buy?
Survey results suggest consumers are more open to help narrowing options than to handing over the purchase decision. In Gartner’s January 2026 survey of 322 U.S. consumers, 31% said they would allow AI to narrow household-supply options, and 28% would allow it to narrow personal-electronics options. Across the lower-stakes categories in the survey, willingness to let AI make the purchase decision peaked at 11%.
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As Kate Muhl, vice president analyst in Gartner’s Marketing practice, put it: “Consumers are not looking to outsource shopping decisions to AI.” She said they want AI to help find information, compare prices, identify deals, and narrow choices while retaining final decision-making control. The reported gap between narrowing and deciding fits that distinction: assistance with the shortlist is not the same as authority to buy.
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Verification is a practical obstacle. In Gartner’s survey of 846 U.S. consumers conducted 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, and 62% said that information wasted their time.
In Adobe for Business’s October 2026 survey of 1,011 U.S. consumers who use LLMs for shopping research, 59% said incorrect information about a brand displayed by AI would reduce their trust in that brand. These findings come from separate surveys and should not be combined into a single estimate. They point to a shared concern: an inaccurate answer can add work for shoppers and damage confidence in the brand it describes. Muhl summarized the business implication as: “Accuracy is now a brand issue.”
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the broader adoption figure does—and does not—show
A NielsenIQ release dated August 27, 2026, summarizing a global report with World Data Lab, says nearly three-quarters of shoppers use AI during product discovery. The release does not state the underlying survey sample size or field dates, so the figure should be read as a broad adoption signal rather than a directly comparable measure alongside the defined U.S. surveys above.
What this shift means for customer choice
For shoppers, AI can be another way to discover and compare products, but its answers still merit verification—especially for current prices, availability, specifications, and claims. For brands and retailers, being represented accurately in the information AI draws on matters alongside visibility in traditional search. Gartner’s Emma Mathison put the channel point plainly: “Marketers cannot afford to think of AI as a replacement for traditional search.”
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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →The evidence supports a change in how some customers form a shortlist, not a universal move to AI-led purchasing. Discovery may broaden, research may continue across channels, and consumers may welcome help while keeping control of the decision.
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