A new survey from The Harris Poll and Quad reveals a striking generational divide in how consumers approach AI-powered shopping, and a warning signal that eCommerce brands need to take seriously.
The numbers tell a clear story
62% of Gen Z and Millennial shoppers now say they prefer to shop using AI-powered tools, outpacing the 51% of consumers overall (PR Newswire, 2026). More remarkably, six in ten Millennials report having more faith in AI shopping tools than human store associates when it comes to receiving unbiased advice. Among Gen Z, that figure sits at 54%.
These aren't hypothetical preferences. Consumers are actively using AI to compare products and prices. 76% of Millennials say using AI to identify pricing inconsistencies across retailers is appealing, while 68% want AI to quickly narrow down product choices.
For eCommerce operators, this data confirms what many have suspected: the AI shopping assistant isn't a future curiosity, it's a present-tense channel that your most valuable customer segments are already using.
The trust trap: Where AI commerce could stumble
Here's where the story gets complicated. The same survey found that three-quarters of Americans would lose trust in AI shopping if results were sponsored. Let that sink in. At the exact moment when platforms are rushing to monetise AI shopping experiences through advertising, consumers are drawing a hard line.
Nearly 73% of respondents worry about how AI tools will handle their personal shopping data. And roughly 71% said the rise of "surveillance pricing", where algorithms charge different consumers different prices based on personal data, makes them want to shop in physical stores where pricing is at least visibly consistent (PR Newswire, 2026).
This creates a fascinating tension. Consumers want AI's efficiency but deeply distrust the economic model that would fund free AI tools. The platforms that crack this, offering genuine, unbiased product recommendations without an ad-subsidised model, will win enormous consumer loyalty. The ones that treat AI shopping as just another ad surface will watch trust evaporate.
What this means for eCommerce merchants
The old discovery mechanisms, like TV shopping and purely search-driven browsing, are giving way to AI-mediated commerce. But consumers aren’t passive in this shift. They’re demanding that AI serve their interests, not advertisers’. For merchants, this tension is both a warning and an opening. Here’s how to position for it.
Your product data is your AI strategy
When younger consumers ask an AI assistant to recommend products, the quality of your product data directly determines whether you appear in the response. This connects directly to recent research from Search Engine Land showing that ChatGPT citations reward ranking precision and tight, specific content over broad, lengthy pages.
If your product pages are thin manufacturer copies with generic descriptions, AI tools have nothing distinctive to surface. Invest in detailed, original product content with specific attributes, real-world use cases, and clear differentiation points.
Transparency is a competitive advantage
Given that consumers are wary of sponsored AI results and surveillance pricing, merchants who are transparently honest about pricing, shipping costs, and product trade-offs are better positioned. When an AI agent evaluates which merchant to recommend, objective, honest content outperforms salesy copy.
Consider publishing genuine comparison content, honest sizing guides, and clear returns information. These aren't just customer service basics; they're the raw material AI systems use to judge trustworthiness.
Don't abandon human touch
The survey's finding about surveillance pricing driving shoppers back to physical stores is significant. Even as AI becomes a preferred discovery tool, the desire for human connection and transparent in-person experiences isn't going away. Ralph Lauren's CEO, speaking at the Semafor World Economy summit this week, described value as the quality of storytelling and experience divided by price, not just the price itself.
For digital merchants, this means blending AI convenience with genuine human elements. Live chat with real staff, personalised post-purchase follow-up, and authentic brand storytelling all serve as counterweights to algorithmic fatigue.
Watch the platform trust dynamics
This data has significant implications for where you invest advertising budget. If major AI shopping platforms begin injecting sponsored results, consumer backlash could be swift and severe. Diversifying your presence across multiple AI-accessible channels, rather than betting everything on one platform's AI shopping feature, is the prudent strategy.
The bigger picture
This survey, combined with QVC Group's simultaneous preparation for Chapter 11 bankruptcy under more than $5 billion in debt, illustrates a retail landscape in profound transition. The old discovery mechanisms, television shopping, and purely search-driven browsing, are giving way to AI-mediated commerce. But consumers aren't passive in this shift. They're demanding that AI serve their interests, not advertisers'.
The merchants who understand this nuance, building for AI discoverability while maintaining genuine trust and transparency, will thrive in this new landscape. Those who treat AI commerce as just another channel to optimise through paid placement are repeating the mistakes of every previous platform shift.
At On Tap, we believe the brands that invest in product data quality, transparent customer experience, and multi-channel AI readiness today are building the competitive moats that will define eCommerce success for the next decade. The data is clear. The question is whether you're acting on it.
To explore how our team can help you build AI-ready product content and a transparent eCommerce strategy that earns trust at every touchpoint, get in touch with us today.
