January 26, 2026

Six percent of global searches now bypass traditional results entirely. AI answer engines handle that share of all queries worldwide, a dramatic figure for technology that barely existed eighteen months ago. Retailers are seeing the shift in their traffic logs. AI-source traffic grew over 1,200% year-over-year while traditional search traffic declined 10%. Adobe data cited by Flagship Advisory Partners shows AI-driven traffic to retail and travel merchants increased more than 10x over the past 15 months. Discovery is shifting faster than anyone predicted. But here is the catch. AI tools still represented less than 1% of total retail and travel traffic during the 2025 holiday season. Discovery is changing. Transactions are not. That gap defines the strategic puzzle for 2026.

SAP is telling retailers bluntly that the old playbook is dead. At NRF, the company urged merchants to pivot from Search Engine Optimization to what they're calling Answer Engine Optimization. When AI agents mediate discovery, the question isn't whether you rank on page one of Google. It's whether an agent's reasoning process surfaces your product at all. Retailers that fail to make their catalogs legible to AI systems risk becoming what Airia calls "invisible" to the algorithms that increasingly determine which products customers even consider. The skills that drove growth for two decades, keyword optimization, paid search, retargeting, are becoming table stakes while a new discipline emerges.

Operations teams are already seeing the payoff. Multi-agent systems in retail operations deliver up to 60% fewer errors, approximately 40% faster execution, and roughly 25% lower operating costs according to Airia's analysis. These gains come from specialized agents coordinating across inventory forecasting, replenishment, pricing, and personalization. Not monolithic automation. CFO-visible value today, not dependent on future breakthroughs in autonomous shopping. Mirakl frames agentic commerce as "a fundamental shift" where the traditional funnel collapses entirely. Users set high-level goals. Agents handle discovery, evaluation, negotiation, and transaction across multiple merchants. Customer experience teams become systems integration teams.

BigCommerce published a scenario that makes the endpoint concrete. A customer's personal shopping agent compares prices across multiple retailers and negotiates a 15% discount via automated price matching. It selects the optimal combination of price, delivery, and return policy, then completes the purchase using stored payment preferences while the customer sleeps. This isn't science fiction. It's the logical extension of capabilities that major retailers are deploying now. Alhena describes agents that monitor carrier data and send personalized setup guides two hours after "Delivered" status to ensure a "success moment" right after delivery. The agent becomes the relationship manager, not just the transaction executor.

Budget commitments reflect serious conviction. IDC projects that agentic AI will represent 10-15% of IT spending in 2026, growing to 26% of budgets by 2029. That's $1.3 trillion. Leading consulting firms project a $3-5 trillion agentic commerce market by 2030. US B2C retail alone? Up to $1 trillion mediated or influenced by agentic commerce by the end of the decade. These aren't aspirational targets. They're planning assumptions baked into capital allocation decisions across the industry. Companies that delay foundational data and workflow modernization will likely be locked out of AI-mediated channels as agents preferentially route to suppliers with clean, structured, real-time data.

B2B is emerging as the next major arena, but most projects will fail. Commercetools and Mirakl both describe agents orchestrating negotiations, replenishment, pricing, and assortments end-to-end in B2B contexts. Gartner forecasts that 40% of enterprise applications will include task-specific AI agents by year end, up from less than 5% in early 2025. Deployment intensity is unprecedented. But Zaelab cites the same Gartner analysis warning that more than 40% of agentic AI projects risk cancellation by 2027 due to poor data foundations, missing governance frameworks, and underestimated integration complexity. Ambition is outpacing execution. Companies racing to deploy agents on top of fragmented data will waste significant resources.

Shopify's Winter '26 Editions release signals where the platform layer is heading. Coalition Technologies' coverage highlights new agentic AI tools for merchants alongside expanded Sidekick capabilities and deeper automation across store operations. The Australian Retailers Association's NRF recap frames this as the year retailers must decide whether AI will be "friend or foe", depending on whether they build the infrastructure to participate in agentic channels or get disintermediated by them. Can you make your business legible to AI agents before your competitors do? The window for catching up is measured in quarters, not years.