Shopify just called it: this is the first holiday season where AI agents will meaningfully shape what people buy. The company's 2026 Global Holiday Retail Report — surveying 18,000 consumers and 7,500 business leaders across nine markets — found that 65% of shoppers plan to use AI for at least one shopping task this season. But the more striking finding is who benefits. Among regular AI users, 71% say they're more likely to choose an independent or niche brand than last year. The indie brands that spent 2026 making their product data machine-readable are about to find out whether it paid off.
Agentic commerce just got its first real-world exam
The concept of agentic commerce — where AI agents research, compare, and even purchase products on a shopper's behalf — has been building momentum all year. McKinsey estimates that AI agents could mediate $3 trillion to $5 trillion of global consumer commerce by 2030, with U.S. B2C retail alone representing up to $1 trillion in agent-orchestrated revenue. But forecasts are one thing. This holiday season is the first time the theory meets the shopping trolley at scale.
Shopify's own data shows the acceleration is real. In Q2 2026, AI-referred sessions to Shopify stores grew 197% year-over-year, orders from AI-powered searches tripled, and new buyers arriving through AI channels placed orders at nearly twice the rate of other channels. AI-referred shoppers who came via Shopify's structured Catalog data converted at double the rate of those arriving from scraped or third-party feeds.
"While the volume from agentic commerce is still small relative to our massive GMV, the growth trends are impressive," said Harley Finkelstein, President of Shopify, during the company's Q2 earnings call. "This is not just AI taking share of search."
He's right about that last point. Traditional search sessions on Shopify are still growing — up 1.3x over the past two years, holding roughly one-third of all storefront sessions. AI is adding a new channel, not cannibalising the existing one.
The long-tail advantage is the real story
The headline statistic — 65% of shoppers using AI — is impressive, but the composition of those AI-driven purchases tells a more important story. Shopify reported that 75% of AI-attributed orders in Q2 2026 came from categories outside the top 100 by sales volume. That is a structural shift in who gets discovered.
Traditional search engines rank partly on popularity. A small brand selling hypoallergenic clothing competes with established names for the same keywords, and usually loses. AI agents work differently — they match a request to the best answer they can find. When a shopper types "my bra makes my skin burn," the agent doesn't need the shopper to know the word "hypoallergenic." It needs a brand that actually solves the problem.
Cottonique, a hypoallergenic apparel brand, is living proof. The company's AI-referred sales grew 276% year-over-year, with total sales up 52%. "Our customers have never searched the way search engines wanted them to," said co-founder Nikhiel Genomal. "Agentic storefronts helped close that gap. AI channels are the first search interface that has ever spoken our customers' language."
Stanley 1913 saw five times as many AI-referred orders in the U.S. compared to the same period last year. Noah Gedrich, the brand's Senior Director of Commerce Technology, described the shift as requiring a broader team: "What used to be an onsite partnership between technology and content is now expanding to include our social media team, PR and data analytics people in order to increase our share of the agentic conversation."
The trust gap every retailer needs to understand
For all the excitement, there's a hard limit on how far shoppers will let AI agents go. According to the report, 50% of shoppers are comfortable with AI recommending products. Forty per cent will let an agent build a shopping cart. But only 29% trust an AI agent to actually complete a purchase on their behalf.
That gap — between discovery and checkout — is where the competition plays out this season. Shoppers are using AI to research and narrow their options, then making the final decision themselves. Eighty-one per cent of regular AI users said they're choosing more products that feel "personal, intentional, or considered." Thirty-five per cent said they choose the best possible version for their needs, even if it's not the cheapest option.
This matters because it inverts the usual Black Friday logic. Instead of racing to the deepest discount, the brands positioned to win are those whose value proposition is legible to a machine — and whose story is compelling enough for the human who reads the agent's recommendation.
The infrastructure underpinning this is maturing fast. The Universal Commerce Protocol (UCP), co-developed by Google and Shopify and backed by Amazon, Microsoft, Meta, Walmart, Stripe, Visa, and over 20 other partners, now standardises how AI agents handle everything from product discovery to checkout across platforms. Shopify's Agentic Storefronts automatically syndicate merchant products to ChatGPT, Microsoft Copilot, Google AI Mode, and Meta's Muse — creating what we previously covered as the emerging personal agent protocol ecosystem.
What this means for Australian retailers
Australia is tracking slightly below the global average — 62% of Australian shoppers expect to use AI for at least one holiday task, compared with 65% globally. But the spending appetite is higher: Australians plan to spend an average of A$346 over BFCM weekend, up from A$324 last year, while global planned spending actually fell.
The indie brand signal is even stronger locally. Fifty-four per cent of Australian shoppers say they're choosing independent or niche brands more often than last year. Among those who almost always use AI when shopping, that jumps to 80%.
"Australians are still willing to spend this holiday season, but they're putting more work into deciding what's worth their money," said James Johnson, Head of Shopify Enterprise ANZ. "For retailers, that raises the bar. This BFCM isn't just about offering the deepest discount; it's about making your products easy to discover, clear to understand, and worth choosing."
Fleur Brown, Chief Industry Engagement Officer at the Australian Retailers Association, framed it as a trust test: "This peak season will be an important test of how AI fits into the way Australians shop. Retailers have an opportunity to use AI to make shopping easier and more relevant, but the fundamentals don't change; customers still need to feel confident that they're getting genuine value."
Australian retailers are responding: 51% are investing in AI-generated content, 46% in virtual assistants, and 45% in making their stores easier for AI tools to read and recommend.
There's a catch, though. Shopify's agentic checkout — the part where a buyer can complete a purchase inside an AI conversation — is currently limited to merchants selling to U.S. buyers. Google has signalled that its UCP-powered checkout is extending to Canada, Australia, and the UK, but the timeline is unconfirmed. For now, Australian merchants can be discovered by AI agents, but the seamless in-conversation purchase flow that drives the highest conversion rates is still a U.S.-first feature.
What to watch
This holiday season will produce the first hard data on whether agentic commerce converts at scale, or whether it's another AI metric that grows fast from a small base without meaningfully shifting revenue. The signals are promising — AI-referred shoppers convert 80% better than organic search visitors on Shopify, and they arrive with 14% higher average order values — but organic search still sends more total traffic than all AI platforms combined.
The practical lesson is clear regardless. Whether you're selling on Shopify or another platform, the brands that win discovery in AI channels are those with complete, structured product data — specific titles, filled-out attributes, plain-language policies, and real customer reviews. As we've covered before, AI agents are reshaping how shoppers find products, whether through Google's Universal Cart, Perplexity's Commerce API, or Amazon's agentic shopping assistant. The common thread is the same: if an agent can't read your product data, it can't recommend your product.
At Heygentic, we've been watching this shift accelerate all year. The advice hasn't changed, but the urgency has. If you sell products online and haven't audited your structured data for AI readability, the holiday season that just started is your deadline.
Sources
- Welcome to the first holiday season of the agentic era — Shopify
- Agentic Commerce: Benefits & How To Get Started in 2026 — Shopify
- AI and organic search are doing different jobs: What Shopify's data shows — Shopify Enterprise
- The agentic commerce opportunity — McKinsey
- Shopify Holiday Shopping Survey 2026: 65% Plan to Use AI — Ecommercetrix
- Australians increasingly using AI to decide what they buy — AdNews
- Australians to spend more this BFCM as AI shopping grows — Ecommerce News Australia
- How Shopify is approaching agentic AI so far in 2026 — Digital Commerce 360
