Shopify says 65% of shoppers plan to use AI for at least one shopping task this holiday season, but only one-third say they trusted an agent to buy on their behalf. For merchants, the immediate opportunity is helping AI recommend the right product, not assuming shoppers are ready to surrender the checkout. Its latest holiday analysis also describes sharp growth in AI-referred business at several brands. The interesting shift is how products become discoverable when shoppers describe a problem rather than supply the perfect search term.
Shopify Watch analysis
What happened
In its 6 October article, Shopify draws on its 2026 Global Holiday Retail Report and merchant accounts to explain how AI-assisted discovery is changing holiday preparations. It says Shopify Catalog structures product data for agents to read, while Agentic Storefronts bring products into AI shopping channels.
The company reports five times as many US AI-referred orders at Stanley 1913 as in the comparable period last year. ILIA’s AI-referred sales nearly tripled, while Cottonique’s rose 276%. Cottonique’s total sales increased 52% over the same year-on-year comparison.
Those measures are not interchangeable: Stanley’s figure counts orders, while the other two describe sales. Nor do growth rates reveal how large AI referrals are within each brand’s overall business. They nevertheless give the discussion something firmer than a festive prediction.
Why it matters
AI discovery can connect everyday descriptions with specialist products. Cottonique, which makes hypoallergenic clothing, describes the opportunity as reaching people who explain skin discomfort without knowing the product-category vocabulary.
That changes the merchant’s job. Product information needs to explain who an item serves, which need it addresses and why its price makes sense. Shopify’s account argues that an agent can only repeat a case the brand has already made somewhere accessible.
Stanley’s commerce technology director, Noah Gedrich, also describes discovery work expanding beyond on-site content and technology teams to include PR, social media and analytics. The implication is broader than tidying product descriptions: credible information outside the shop can help shape how an agent understands the brand.
Our read
The useful takeaway is to prepare for AI-assisted consideration before betting everything on autonomous purchasing. Finding a suitable product and authorising payment are different decisions. A helpful shopping companion has not automatically earned the wallet.
For merchants, start with the questions a buyer would actually ask. Make suitability, distinguishing features and value clear in product information, then measure whether AI referrals produce orders and worthwhile sales, not merely visits.
Keep the headline growth figures in proportion. These are selected merchant results reported by Shopify, not proof that agentic shopping caused their wider growth or that every independent brand will benefit. The survey measures stated intentions and trust, not completed holiday purchases.
What to watch
- Whether holiday results show AI-referred sales becoming a meaningful share of merchants’ business, rather than rapid growth from a small base.
- Whether shoppers move from AI research to authorising purchases, and under what controls.
- Whether clearer product information helps specialist brands win customers without simply creating another optimisation arms race.
Discussion spark: Should merchants prioritise making products understandable to AI assistants while keeping checkout person-led, or invest now in agents that can complete purchases?
Sources and evidence
- Welcome to the first holiday season of the agentic era (6 October 2026, 07:44 UTC)
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