Why Shoppers Trust AI for Guidance but Refuse to Hand Over the Reins

Ever wonder if we’d really trust a robot to snag those must-have deals for us—or if we’re just happier letting AI be our trusty shopping sidekick? Turns out, Americans are pretty cozy with AI when it comes to hunting bargains, comparing products, or slicing through the endless sea of reviews. But hand over the actual checkout button? Not so fast. While surveys from early 2026 reveal nearly half of us lean on AI to save time and simplify shopping, only a tiny sliver—just over 8%—feel comfortable letting AI pull the trigger on purchases. It’s like having a savvy friend who helps you pick out the perfect gift but stops short of actually buying it for you. This hesitation isn’t surprising—after all, giving up control at the checkout? That’s a big leap. In today’s eCommerce game, it’s clear that AI’s role as the ultimate product scout is booming, but the reigns are still firmly in human hands. Curious how this shapes the future of online shopping? Dive in and see why AI’s promise is more about guiding than taking over. LEARN MORE

AI-powered shopping is winning over American consumers when it saves time or makes buying decisions easy, but a slew of recent surveys show shoppers are not ready for autonomous purchase agents.

For example, in January 2026 email platform Omnisend commissioned a survey of 4,000 shoppers across the U.S., Canada, and Australia as to their use of AI for shopping in the previous six months.

Of the 1,072 U.S. shoppers surveyed, only 8.29% were “fully comfortable” with AI completing online purchases. Nearly three-quarters of respondents wanted some form of transactional restriction, and 20.28% were “not comfortable at all” with “handing over transactions to AI tools.”

Shopping Effort

Yet shoppers are using AI in the buying journey. Omnisend’s survey found that 47% of U.S. respondents use AI for product research and comparisons, 40.9% for finding deals or coupons, and 38.6% for summarizing reviews.

Separately, eMarketer, citing a Q3 2025 IBM survey of 18,000 global consumers, reported last month that shoppers most often use AI for general help, product research, and reviewing options. And McKinsey’s February 2026 survey of roughly 4,000 U.S. consumers found that 68% had used AI tools in the previous three months, mostly to support decision-making.

Collectively, the data indicate that shoppers value AI when it makes shopping easier.

In Omnisend’s data, 47.2% of U.S. respondents said AI saves time. Another 40.1% said it simplifies the process, and 38.6% said it helps discover products they might not have found otherwise.

Generally, saving time, simplifying, and identifying all reduce cognitive load or effort. Instead of sorting through dozens of product pages or reviews, shoppers can compress that work into a few prompts or queries.

This distinction is significant. Prompt-based shopping shifts how consumers decide what to buy. AI narrows the selection before a shopper reaches an ecommerce product page.

Purchase Control

Despite the ease of use, survey respondents are less comfortable giving up purchase control. Again, only 8.29% of Omnisend’s U.S. respondents said they are fully comfortable with AI completing a transaction.

Thus shoppers remain cautious. Some 56.4% of Omnisend respondents said they always or usually double-check AI-generated recommendations before buying.

Moreover, a February 2026 survey of 1,500 U.S. adults from Ipsos, the research firm, found that just 27% of Gen Z respondents (born 1997-2012) said they would allow an AI agent to choose and buy a product without approval, while just 4% of Gen X (1965-1980) and younger Boomers (1946-1964) would do the same.

Ipsos found consumers tend to prefer automation over agent autonomy. AI agents could make purchases based on prior behavior, such as selecting familiar brands or working from a predefined list, but not from new, autonomous selections.

Ecommerce Implications

Hence survey data suggests consumers use AI for product discovery, but not yet for agentic buying. That distinction should inform ecommerce businesses where to prioritize efforts.

For example, ensuring that product data is structured and feed-ready is key. AI chat tools use that structured information to summarize, compare, and surface product recommendations. The mundane task of cleaning data is more important than launching a co-shopping agent.

Similarly, content marketing is a priority over cutting-edge AI widgets. GenAI-optimized product comparisons, buying guides, instructions, and even reviews feed discovery.

While merchants should monitor how AI platforms evolve, the shopping journey is the near-term opportunity. AI is helping consumers decide what to buy, but not yet buying for them.