During the 2025 holiday season, traffic to retail sites from generative AI tools surged 693.4 percent year over year. One in five Cyber Week orders involved an AI agent. And on Black Friday, shoppers arriving via AI were 38 percent more likely to convert than those coming through traditional channels.

For nearly two decades, online shopping followed a familiar loop: search, browse, compare, click. Retailers poured billions into SEO, paid ads, and optimised product pages, all designed to nudge a human toward "buy now." That loop is breaking. Not gradually. Suddenly.

The force doing the breaking is agentic commerce: AI systems that don't just recommend products but search, evaluate, negotiate, and purchase on behalf of buyers. According to the IBM Institute for Business Value, 45 percent of consumers already use AI for at least part of their buying journey. Morgan Stanley puts it more sharply: 23 percent of Americans made an AI-assisted purchase in the past month alone.

The shift isn't theoretical. It's showing up in the data, in the infrastructure announcements, and in the boardroom priorities of every major retailer.

In January 2026, Google CEO Sundar Pichai unveiled the Universal Commerce Protocol at NRF, an open standard designed to let AI agents navigate the full shopping journey. Google co-developed UCP with Shopify, Etsy, Wayfair, Target, and Walmart, with endorsements from Visa, Mastercard, Stripe, American Express, and Best Buy. That's not a pilot programme. That's the infrastructure layer for a new era of commerce.

Shopify now enables any merchant on its platform to sell through AI conversations. Customers can browse, select, and check out directly inside ChatGPT, Perplexity, and Microsoft Copilot. Amazon expanded its Rufus assistant and rolled out "Buy for Me," a feature that lets an AI agent complete purchases across third-party sites on the customer's behalf.

McKinsey projects up to $1 trillion in US B2C revenue will be orchestrated by agentic commerce by 2030. Globally, that figure reaches $3 trillion to $5 trillion. The question is no longer whether this transition will happen. It's who will be ready for it.

Here's the uncomfortable truth for most retailers: AI agents don't click ads. They don't browse promoted listings. They don't respond to flashy hero banners or urgency countdown timers. They parse data.

Quentin Montalto, Chief Operating Officer of ShipperHQ, writing in Total Retail, identifies three types of retailers positioned to win in an agent-driven world.

The first are tech-forward retailers, those with flexible commerce platforms, real-time inventory visibility, and accurate shipping logic. When an AI agent queries availability and delivery speed, these retailers return clean, reliable answers. The second are storytellers, brands that articulate clear values and back them operationally. Agents evaluate customer sentiment, sustainability practices, and brand consistency, not just price. The third are data-centric retailers maintaining clean product catalogues, reliable fulfilment data, and transparent policies.

The losers are equally clear. Late adopters waiting for full market maturity will find that the market moved without them. Thin-margin sellers without differentiation will struggle when an agent can compare every competitor in milliseconds. And retailers built on paid advertising will discover that their primary customer acquisition channel is becoming invisible to the new decision-makers.

The agentic revolution isn't confined to the storefront. It's pushing back through the entire value chain, from checkout to warehouse to supplier.

Eugene Amigud, Chief Innovation Officer at Infios, argues in Total Retail that agentic AI represents the next frontier for supply chain execution. His company, which serves over 5,000 customers across 70 countries, is seeing AI agents take on three critical capabilities: real-time inventory tracking that reduces discrepancies, predictive demand forecasting that incorporates weather, social sentiment, and promotional data, and automated replenishment with dynamic supplier selection.

The results are tangible. Companies using AI-enabled order management are achieving 33 percent faster stock replenishment and reducing losses through predictive adjustments.

This matters more than usual right now. Tariff pressures continue to disrupt global trade routes, forcing retailers to rethink sourcing strategies on shortened timescales. Static, rule-based supply chain systems can't adapt fast enough. Agentic systems can reroute orders automatically during disruptions, shift between suppliers based on real-time cost and availability, and rebalance inventory across channels without human intervention.

For all the momentum, there's a tension at the centre of agentic commerce that we shouldn't gloss over. We'll be exploring this in depth in a follow-up piece, but the headline numbers are worth flagging here.

Only 46 percent of shoppers fully trust AI recommendations, according to the IAB. A striking 89 percent still verify AI suggestions before buying. And on the other side of the transaction, 78 percent of financial institutions expect fraud to spike as AI agents move from recommending to executing purchases.

The infrastructure is responding. Visa, Mastercard, and Stripe are introducing agent-capable payment frameworks. Identity verification layers are emerging to authenticate that an agent is acting on behalf of a legitimate buyer. But the gap between what agents can do and what consumers trust them to do remains wide.

This is the paradox of 2026: the technology is moving faster than the trust. And trust, in commerce, is everything.

2026 is the infrastructure year. The protocols are being written. The payment frameworks are being built. The identity layers are being tested. What happens next depends on execution.

Retailers who treat agent-readiness as a core competency, not a future initiative, will build compounding advantages. Clean data, transparent policies, flexible APIs, and reliable fulfilment aren't just nice-to-haves in an agent-driven world. They're the new ranking factors.

The retailers who win won't be the ones with the biggest ad budgets. They'll be the ones whose data is so clean, whose fulfilment is so reliable, and whose policies are so transparent that the algorithms choose them, every time.

Nearly 60 percent of small businesses now use AI, more than double the share in 2023, according to the US Chamber of Commerce. This isn't just a big-retailer story. The tools are democratising fast.

The old commerce loop of search, browse, compare, click served us well for 20 years. The new one, where agents search, evaluate, negotiate, and buy, is here. The only question left is which side of that loop your business sits on.

When the algorithms start doing the buying, will your business be the one they choose?