A new survey from marketing agency Croud, published August 11, 2026, found that 69% of Americans would let an AI agent complete a purchase without stopping to approve it first — and fashion is one of the categories where that trust is already showing up in real spending. According to the Croud Consumer Index, shoppers who use AI tools during the fashion buying process spend 56% more than shoppers who don’t, and they’re 23% more likely to search by style or aesthetic rather than typing a specific product name or SKU. For a category that has spent the last two years testing AI try-on tools and AI-powered search bars, this is the first data point suggesting the behavior shift is actually sticking.
What the Croud Index Actually Measured
Croud’s researchers weren’t just asking whether people like chatbots. The index tracked how consumers move through a purchase when an AI tool is involved at any stage — research, comparison, or checkout — and found the behavior is more deliberate than the “lazy shopper” narrative around AI usually assumes. 73% of AI users said they research a brand through a large language model before buying, and 39% said they cross-check an AI recommendation against four or more other sources before committing. Only after that vetting process does the willingness to hand off the final step show up: half of consumers said they’re comfortable using AI checkout across at least three different product categories, and 75% said they’d use AI-powered instant checkout in at least one.
Croud U.S. CEO Val Davis framed the pattern as counterintuitive: AI, she said, “is making the consumer journey more human, not less,” because shoppers are layering in more validation steps before trusting a recommendation, not fewer. Global CMO Dani Jordan put the fashion-specific finding more bluntly: “AI shoppers research with intention, search by need and aesthetic over brand, and ultimately spend more.”
Why Fashion Is Where the Aesthetic-Search Number Matters Most
The 23% jump in style-and-aesthetic search over keyword search is the number worth sitting with if you follow this category. Traditional fashion e-commerce search was built around exact-match logic — a shopper types “black midi dress” and the site returns anything tagged that way, regardless of whether the cut, fabric, or occasion actually fits what the shopper had in mind. AI-native search flips that: a shopper can describe a mood, a body concern, or an event and get results filtered on those softer terms instead. Croud’s data suggests that once shoppers get a taste of that kind of search, they don’t go back to typing keywords — and they spend more once they find something that actually matches the vague idea in their head.
That also explains the 56% spend gap better than “AI makes buying easier” does. A shopper who searches by aesthetic and cross-checks four sources before buying isn’t being pushed into an impulse purchase — they’re arriving at checkout more convinced, for a piece they researched more thoroughly, which is a very different (and stickier) kind of high-spend behavior than a one-click impulse buy.
What This Signals for the Rest of the Year
The gap between the top-line number (69% comfortable with unsupervised AI purchasing) and the research-heavy behavior underneath it is the real story. Consumers aren’t asking AI to think for them — they’re asking it to filter faster while they still do the deciding, and only extending full autonomy to the final checkout click once they’ve already validated the choice themselves. Thorne VP of Growth Rajiv Ragu made a related point about how brands need to show up in that research phase at all: success in AI search, he said, “isn’t about optimizing for one platform” but about “building authoritative content” that AI tools can actually surface when a shopper describes what they want in plain language. As more of the fashion research phase moves into LLM conversations instead of search engine results pages, that’s the piece of this data worth watching next.
FAQ
What did the Croud Consumer Index actually find?
Surveying U.S. consumers, Croud found 69% would let an AI agent complete a purchase without approving it first, 73% research brands via LLMs before buying, and AI-assisted fashion shoppers spend 56% more than shoppers who don’t use AI tools.
Why do AI-assisted fashion shoppers spend more?
Croud’s data points to research depth, not impulse buying — AI users are more likely to search by style or aesthetic and to cross-check recommendations across multiple sources before purchasing, arriving at checkout more convinced of the fit.
Does this mean shoppers want AI to just buy things for them automatically?
Not exactly. The high comfort number applies mainly to the final checkout step after a shopper has already done their own research and validation — the data shows a deliberate process, not blind delegation.
Source: PR Newswire, “Croud Consumer Index Reveals 69% Of Americans Would Let AI Buy For Them Without Approval” (published August 11, 2026), https://www.prnewswire.com/news-releases/croud-consumer-index-reveals-69-of-americans-would-let-ai-buy-for-them-without-approval-302848958.html
By Michelle Jones, Fashion News GF