GenZ's AI Shopping Paradox: Heavy Users Who Don't Trust It

Gen Z is 10x more likely than Boomers to frequently use AI to discover new products. Most of them don't trust it.

TL;DR: 33% of Gen Z turn to AI platforms for product research, nearly as many as use search engines, and 46% of Gen Z and Millennials use them daily — yet 49% of Gen Z say AI shopping "takes the fun out of the process" and 58% don't trust chatbot answers. The paradox isn't really a paradox. Gen Z grew up with infinite product comparisons, and AI is the coping mechanism — not the trusted advisor. Convenience is beating trust, and that matters for anyone building in agentic commerce.

I've been tracking which stores AI agents recommend, the infrastructure gap holding everything back, and the legal battles playing out in court. The protocol wars are intensifying. But I realized I'd been thinking about this entirely from the supply side — platforms, protocols, merchants. What about the people who are supposed to actually use this stuff?

So I spent a week going through every consumer survey I could find from the last twelve months. The picture that emerged is stranger than I expected.

The Numbers That Don't Add Up

According to a BigCommerce/Future Commerce survey from June 2025, 33% of Gen Z now turn to AI platforms — ChatGPT, Perplexity — for product research. That's nearly tied with search engines (37%). One in four Millennials follow the same pattern. The Salesforce Connected Shoppers Report puts it more bluntly: Gen Z is 10x more likely than Boomers to frequently use AI to discover new products.

PartnerCentric's AI Shopping Statistics report, based on a December 2025 survey, found that 49% of Gen Z say AI shopping "takes the fun out of the process." And 58% don't trust AI chatbots to give them the best answers. These aren't from different populations — this is the same generation simultaneously adopting and distrusting the technology.

The adoption-by-generation data makes the gap stark:

Source: BigCommerce/Future Commerce, 2025

Gen Z leads adoption, but not trust. Only 23% trust AI product recommendations more than human ones, according to BigCommerce, fewer than Millennials (27%). So why do they keep using it?

Decision Fatigue Is the Actual Driver

The answer, I think, isn't about trust at all. It's about exhaustion.

Gen Z grew up with Amazon showing 10,000 results for "white sneakers" and TikTok Shop surfacing products every third swipe. I'd guess they face more of these small decisions than any generation before them, though I haven't found a study that measures it by generation.

The research on choice overload is old and well-established. The classic jam study by Iyengar and Lepper found that 30% of people bought jam when shown 6 choices, versus 3% when shown 24.

Now scale that to ecommerce. Baymard Institute puts the average cart abandonment rate at 70.22%.

PartnerCentric's data points to what I think is the real driver: 55% of those using AI for shopping do it specifically to find the best price. Not for discovery or inspiration — certainly not because they enjoy it. They want the comparison to be over.

That's what made me think this isn't really about trust at all. It's about exhaustion.

What They Actually Want from AI

The motivations are almost entirely practical. Wildfire's 2025 Consumer Survey broke down what would get people to use AI shopping agents:

• Time savings: 34%
• Research efficiency: 27%
• Faster checkout: 25%

And 86% cited money-saving benefits as a reason to use one. Look at that list — time, efficiency, price. There's nothing aspirational in there. Nobody's saying "I want AI to curate my style." They want the research phase to end faster.

Here's the number that stuck with me: PartnerCentric found that shoppers using AI tools report saving an average of 6.2 shopping hours, and two thirds say AI helped them find deals they wouldn't have found otherwise. The value is real, and they know it. They just don't trust the process.

Salsify's agent-focused research found that Millennials' top reason for being interested in AI shopping agents is that they think "these tools know more than they do and are impartial." The word "impartial" is doing a lot of work there — 78% of consumers in the PartnerCentric survey believe AI recommendations are influenced by advertisers. They hope for impartiality while suspecting the opposite.

The Trust Breakdown, by the Numbers

From PartnerCentric's survey, the concerns are specific:

• 76% are concerned about how their data is used
• 60% don't trust chatbots with payment information
• 63% are concerned about AI shopping scams, rising to 78% among people about to try AI shopping for the first time (though only 2% reported being victims of a scam)
• 78% believe AI recommendations are influenced by advertisers

Forrester adds that 54% of US online adults aren't comfortable giving up their personal information to generative AI tools.

Contentsquare's research found that 79% say accuracy is the number one quality they need from AI shopping — far above speed at 36%. That gap between accuracy (79%) and speed (36%) surprised me. The marketing around AI shopping is all about convenience and speed. But consumers are saying: I don't care if it's fast — I care if it's right.

And yet Salsify found that only 14% trust AI recommendations alone to make a purchase. Another 27% trust them for some purchases but verify with other sources. A third don't use them at all.

Where This Gets Uncomfortable for Agentic Commerce

Here's the thing that's been nagging at me. I've spent the last six posts writing about protocols, infrastructure gaps, and platform wars. All of that assumes consumers want to delegate shopping to AI agents. Perplexity's pitch is "Buy For Me." OpenAI's checkout feature (now killed, but still) was about completing purchases inside ChatGPT. The whole agentic commerce thesis is: give the agent your preferences, let it shop, sit back.

But according to Worldpay, only 6% of consumers would give an AI agent complete autonomous purchasing control. Six percent. Bain found that consumers trust retailers' on-site agents 3x more than third-party agents — Amazon's Rufus recommending a product feels different than ChatGPT doing it.

What the Wildfire and PartnerCentric data keeps pointing to is something more modest: filter the noise, find the best price, let me make the final call. The infrastructure being built right now — UCP, ACP, MCP, A2A — is designed for full agent-to-agent transactions. Agents talking to stores, completing purchases autonomously. But only 6% of consumers want that. There's a disconnect between what's being built and what people are actually asking for, and I'm not sure how it resolves.

What I'm Watching

One number keeps pulling me back, though. PartnerCentric found that 94% of shoppers who used AI were happy with their purchases. Adobe's holiday shopping data showed online returns down 1.2% year over year, which Adobe partly credits to AI: 68% of shoppers who used it said they were less likely to return the product.

So the product works once people try it. The problem is that first purchase — the trust-action gap where 44% say they're comfortable but only 8% have actually bought anything through AI.

I keep going back and forth on what closes that gap. Better technology doesn't seem like the answer — the satisfaction data says the technology is already good enough. Maybe it's just time and repetition. Millions of people letting AI reorder their laundry detergent, and slowly expanding from there. Groceries before fashion. Reorders before discovery. The boring categories where nobody enjoys deciding anyway.

But I'm not sure. And the fact that 49% of the heaviest AI shopping users say it "takes the fun out" suggests something deeper — that even if agentic commerce works perfectly, a lot of people might not want it for the purchases they actually care about.

Frequently Asked Questions

Why does Gen Z use AI for shopping if they don't trust it?

Decision fatigue. Gen Z grew up with infinite product options online. According to PartnerCentric, 55% use AI shopping specifically to find the best price — they're not seeking a trusted advisor, they're seeking relief from endless comparisons. Convenience beats trust when the alternative is exhausting.

How much does Gen Z actually use AI for product research?

According to BigCommerce and Future Commerce (June 2025), 33% of Gen Z now turn to AI platforms for product research — nearly tied with search engines at 37% — and 46% of Gen Z and Millennials use AI platforms daily. The Salesforce Connected Shoppers Report found Gen Z is 10x more likely than Boomers to frequently use AI to discover new products.

What percentage of consumers trust AI shopping recommendations?

Trust remains low. Only 14% trust AI recommendations alone to make a purchase, and 27% trust but verify with other sources, according to Salsify's 2026 research. Meanwhile, 78% believe AI recommendations are influenced by advertisers (PartnerCentric), and 60% don't trust chatbots with payment information.

Will Gen Z eventually trust AI shopping more?

The data suggests trust may build through experience rather than persuasion. PartnerCentric found that 94% of shoppers who used AI were happy with their purchases. Adobe reports online returns fell 1.2% year over year, and 68% of shoppers who used AI said they were less likely to return what they bought. The barrier is the first transaction, not long-term satisfaction.

What does the Gen Z shopping paradox mean for ecommerce merchants?

Merchants should optimize for AI-assisted research (structured data, product feeds, clear pricing) rather than fully autonomous agent purchasing. Gen Z wants AI as a research tool that helps them decide — not an agent that decides for them. Only 6% would grant an AI agent complete purchasing autonomy (Worldpay).