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Retail AI Adoption Outpaces Consumer Trust
Consumers are using AI for shopping, but do they trust the output?
Introduction
Half of American shoppers are already using AI to research their next retail purchase. But only a third trust what it tells them. That gap is a defining tension in retail right now.
According to Alchemer’s 2026 Retail Report, 48.5% of shoppers used an AI tool to research a purchase in the past year, with tools like ChatGPT and Claude closing in on social media and review sites as research channels. At the same time, retailers are embedding AI deeper into the experience itself: conversational assistants answering product questions, recommendation engines weighing browsing history, pricing algorithms adjusting in real time. Shoppers are surrounded by more AI every quarter, while their trust in it sits stubbornly at 35.4%.
Closing that trust gap is the single biggest opportunity on the table for retailers. Whoever earns shopper trust first, with transparent AI and honest reviews, wins in a new era of shopping.
This report covers the following:
- Why AI adoption outran AI trust, and why that gap is fixable
- How trust in AI stacks up against other sources
- The age divide: who’s using AI, who’s trusting it, and where they part ways
- How AI is rewriting search and discovery, and why 42% of shoppers now question reviews
- How retailers should approach AI in 2026
Methodology: Alchemer’s Research Solutions Team surveyed 1,002 U.S. shoppers about their retail experiences and research habits for Alchemer’s 2026 Retail Reports.
Shoppers Adopted AI. Trust it? Not So Much.
Shoppers didn’t wait for retailers to figure out AI and embed it on their sites. They just started using AI chat tools in their buying process. Nearly half (48.5%) have used an AI tool to research a retail purchase in the past 12 months, and 21.8% do it often enough to call it a habit. Specifically, 22.9% now reach for an LLM (ChatGPT, Claude, Gemini, Perplexity) when researching a purchase, gaining on social media (24.7%) and review sites (30.7%) as a research channel.
| Have you used AI to research a retail purchase in the past 12 months? | % of Shoppers |
|---|---|
| Yes, frequently | 21.8% |
| Yes, occasionally | 26.7% |
| No | 46.5% |
| Not sure | 5.1% |
While adoption of AI tools for research is growing, the impact is less straightforward. Only 35.4% of shoppers trust AI recommendations completely or mostly, leaving two-thirds having at least some doubt in the results. Another 22.2% don’t trust them at all.
Just 15.4% of respondents trust AI more than other sources, while online reviews (36.1%) and friends and family (31.2%) beat it by double digits. Shoppers are reaching for AI and second-guessing it at the same time.
What Do You Trust Most When Making a Purchase?
As for concerns around AI in the retail shopping experience, 35.1% of shoppers worry about privacy, what happens to the data behind a personalized recommendation, and who else gets to see it. For 21.4% of respondents, fake reviews and AI-generated review content are a concern, a sign that shoppers can no longer assume the “review” they’re reading was written by a person. Biased recommendations round out the top three concerns, with 16.5% of respondents suspicious that AI is steering them toward what the retailer wants to sell.
Where Shoppers Encounter AI
Research tools and chat assistants are the visible layer and the primary focus of this research. But retailers are deploying AI across the entire journey. Every one of these touchpoints is a moment where trust is either earned or spent, and the data says shoppers reward the AI they can see, understand, and opt into.
Conversational Assistants
Chatbots that answer product questions in natural language, around the clock. This is the AI shoppers are most likely to recognize as AI, which makes it the easiest place to build trust. Label it clearly, and let it point to real product data and reviews behind its answers.
Predictive Recommendations
Suggestions built on purchase history and browsing behavior. This is where personalization tips into “creepy” if shoppers didn’t agree to it. Make it opt-in, and the same feature reads as helpful instead of like surveillance.
Visual Search
Tools that turn a shopper’s photo or screenshot into a product match. Moving fastest in fashion and home decor, where the product is the picture. It only works if your product data is structured enough for the AI to describe what it’s looking at.
Dynamic Pricing
Engines that adjust prices in real time based on demand and timing. Silent price changes read like hidden fees, already the #2 shopper frustration of the year. If prices move, show why.
The Age Divide: AI Usage and Concerns by Age Group
AI usage in retail isn’t spread evenly across shoppers. It aligns by age, and so does trust, though the two don’t always move together.
According to Alchemer’s 2026 Retail Report, 74% of 18-to-29-year-olds have used AI to research a purchase, compared to 20% of shoppers 61 and older. The youngest group is nine times more likely than the oldest to have discovered their most recent purchase through an AI tool. For shoppers under 30, AI is already part of the retail consumer experience. Most shoppers over age 60 haven’t tried it once.
AI Concerns By Age Group
Asked what worries them most about AI in shopping, every age group lands on the same top concern: privacy. It’s the leading worry for 18–29s (32%) and climbs to 38% among 45–60s. After that, the groups split. Younger shoppers, the ones actually using AI, worry more about the quality of what it hands them: 27% of 18–29s flag fake reviews or fabricated content and 21% flag biased recommendations, roughly double the rates among shoppers over 45. Older shoppers voice fewer specific objections and are far more likely to say nothing about AI concerns them at all, 12% of the 61+ group versus under 3% of 18–29s.
Discovery is Multichannel. AI Has Joined the Party.
As AI evolves the shopping experience, it’s impacting discovery first. Shoppers now research products across more channels than ever, and AI has become a serious competitor among them.
Ask shoppers where they discovered their recent purchases and you get a nearly even three-way split: search engines (33.7%), the retailer’s own site or app (32.0%), and marketplaces (30.2%). AI joins the list in the fourth spot with 17.4% of shoppers finding their most recent purchase through an LLM or AI tool — already ahead of in-store browsing (14.4%) and friend-and-family recommendations (10.6%). A channel that barely existed three years ago is now more influential in product discovery than the store aisle.
Despite the change in the research process, winning the sale still depends on fundamentals. When it’s time to buy, shoppers base their decisions on price (67.3%), product quality (56.7%), and total cost including fees (35.2%). AI gets shoppers to your shelf. Value gets them to checkout.
| Key Buying Factor | Percent |
|---|---|
| Price or affordability | 67.3% |
| Total cost including shipping, taxes, and fees | 35.2% |
| Product quality | 56.7% |
| Convenience or speed (in-store availability or fast delivery) | 23.2% |
| Brand reputation or star ratings | 20.6% |
| Personal recommendation | 11.2% |
| Return or refund policy | 12.8% |
| Past experience with the retailer | 13.9% |
| Range of selection | 8.8% |
| Loyalty rewards or member discounts | 6.8% |
| Sustainability, ethics, or values alignment | 4.6% |
| Product photos and descriptions | 7.0% |
| Ease of checkout or buying in-app | 4.3% |
The immediate retail strategy is clear: treat AI as a research surface to win, not a sales channel to build. Almost no one (0.3%) plans to do most of their holiday shopping through AI tools this year — but nearly a quarter are already using LLMs to decide what to buy. Showing up accurately and favorably in AI-assisted research matters.
Reviews Still Rule Shopping — but 42% of Shoppers Question Their Legitimacy
If AI is the newest voice in the research process, reviews are still the loudest. 70.2% of shoppers read them before buying, and nearly half call them very or extremely influential. Google Reviews lead the influence rankings at 51.6%, followed by Amazon reviews (40.9%) and reviews on the retailer’s own site (37.1%). Even here, AI is moving up — Gen AI summaries have already carved out 13.6%, more influential than YouTube product videos or Trustpilot.
Which review sources do you find influential?
But the trust problem has come for reviews too, and it’s arrived with force. 42% of shoppers worry the reviews they read are fake or created by AI. Another 40.6% worry they’re paid or incentivized, and 32.5% suspect brands manipulate the online reviews outright. Authentic, verified, well-managed reviews are critical to success, and a review presence that holds up to shopper scrutiny is a genuine differentiator.
How Should Retailers Approach AI
Put your AI in plain sight. The single biggest trust lever in the data is visibility. Shoppers reward the AI they can see and understand. Be transparent: when a recommendation, a chat answer, or a price is AI-driven, say so in plain language. Hidden AI is perceived as a hidden agenda.
Make personalization opt-in, not ambient. Privacy is the number one AI concern at 35.1%. Give shoppers a real choice about how their data is used for recommendations. Personalization that a shopper agreed to feels far more helpful.
Tie AI to the sources shoppers already trust. AI trails online reviews (36%) and word-of-mouth (31%) because those come from real people. Close the gap by connecting them. Ground AI recommendations in verified reviews and real purchase data, and show the shopper what’s underneath a suggestion. AI borrows credibility when it points to a human source.
Win AI-assisted research before you touch AI checkout. Nearly a quarter of shoppers use LLMs to decide what to buy, while only 0.3% plan to buy through them. Structure your product data so AI tools describe you accurately, and put your budget where the behavior already is: the research phase.
Explain your pricing before a shopper has to guess. Dynamic pricing is standard, but silent price changes read like hidden fees, already the #2 frustration of the year. If prices move, show why: demand, timing, a limited-time offer. Transparency turns a suspicious moment into a fair one.
Segment your AI message by age. Younger shoppers are already in the AI flow and need transparency and control. Older shoppers mostly haven’t adopted AI and shouldn’t be pushed. Let AI smooth the experiences they already trust rather than replacing them.
How Alchemer Helps Retailers Do More With Feedback
The through line in this data is trust — in AI, in reviews, in whether speaking up changes anything. Alchemer gives retail teams the tools to earn it: collecting feedback across every channel, making sense of it fast, and proving to shoppers that their input drives real change.
Listings, Review & Reputation Management
Reviews decide purchases, and 42% of shoppers suspect the ones they read. Monitor and respond to reviews across Google, Amazon, and the platforms your shoppers actually use — all from one place. Respond fast, protect your reputation, and pull out the themes driving sentiment across every location, so authentic reviews become your loudest sales channel.
Omnichannel Feedback Collection
A quarter of shoppers say they’ve never been asked for feedback — and the silent ones are the flight risks. Collect real-time feedback wherever shoppers are: post-purchase email, mobile app, in-location QR codes, and web surveys. With 40+ question types, multilingual support, and advanced logic, Alchemer Survey makes it easy to hear from every shopper without piling work on your team.
Integrations & Closed-Loop Action
Only one in five shoppers who give feedback ever sees a visible change — and a third of frustrated shoppers leave without saying a word. Alchemer Connect integrates feedback with the systems your teams already use, routing responses to the right people, triggering follow-up workflows, and automatically closing the loop back to the shopper. No signal gets stuck in a survey tool no one’s watching.
AI-Powered Dashboards & Sentiment Analysis
Shoppers don’t distrust AI — they distrust AI they can’t see. Alchemer’s purpose-built AI, including Alchemer Pulse, analyzes open-text feedback for themes and sentiment by segment, age group, or location, and surfaces trends in role-based dashboards for merchandisers, location managers, and executives. Built-in controls and approvals keep a human in the loop, and customer data never trains third-party models — so you can move fast on insight without spending trust to do it.
- 48.5% of shoppers have used an AI tool to research a retail purchase in the past 12 months, and 21.8% do it often enough to call it a habit.
- Only 35.4% of shoppers trust AI shopping recommendations completely or mostly, while 22.2% don’t trust them at all.
- 42% of shoppers suspect the online reviews they read are fake or created purely by AI.
- 74% of 18- to 29-year-olds have used AI to research a purchase, compared to just 20% of shoppers 61 and older.
- 17.4% of shoppers discovered their most recent purchase through an LLM or AI tool, already ahead of in-store browsing (14.4%) and recommendations from friends and family (10.6%).
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