Retail in 2026: What Brands Must Fix Before AI Leaves Them Behind

In the past year, at least a dozen major tech firms and retailers have launched artificial intelligence shopping agents. AI is no longer operating quietly behind the scenes; it's taking an active role in how people shop, compare and decide. Over the coming months, this shift will make life much better for consumers and much more difficult for brands that aren't prepared. With 39 percent of consumers and most of Gen Z already using AI for product discovery, shopping habits have changed. AI shopping isn’t emerging, it’s here — and brands need to catch up.

We're entering an era when the path to purchase will be mediated by intelligent agents. These agents are showing up inside operating systems, social platforms, commerce apps, and retailer sites. They're helping shoppers discover products, compare prices, analyze reviews, and execute purchases. Just 18 months after Amazon.com debuted Rufus in beta, the conversational shopping assistant is on course to generate $10 billion in sales.

Agents are becoming a default part of the shopping experience, and brands need to know how they're behaving and impacting the shopper journey. There’s some data that AI assistants send high-converting traffic to brands’ sites. But what if an embedded agent like Rufus surfaces your competitor’s product right at the point of purchase? Your marketing funnel just generated a sale for your competitor.

The problem is that many brands still struggle to measure what works across search, retail media, and social. Now they'll be asked to optimize for agents that behave like entirely new channels, each with its own logic and limited visibility. If brands want to compete in this new retail landscape, they need to fix three things quickly.

Fix 1: Broken Visibility Across the Path to Purchase

AI agents recommend products, execute purchases, and interact with retailers in ways that legacy analytics rarely capture. As a result, teams will struggle to know where demand is coming from and what's actually driving conversions. In addition, in 2026, U.S. retail media ad spending will approach $70 billion, which concentrates more budget and reporting inside walled environments that do not speak the same measurement language.

Holiday data shows how quickly traffic and influence are shifting. Salesforce found that AI and agents helped influence $229 billion of global online sales during the 2024 holiday season, while shoppers increased their use of AI chat services by more than 40 percent. Those dynamics complicate attribution if you don't have consistent tagging and a unified view of referral sources. Brands need to adopt a measurement framework that covers agents, social, retail media, and owned properties in one place.

Fix 2: Disconnected Storytelling in a Human‑Driven World

Although AI will transform the infrastructure of commerce, people aren't going away. The role of human connection in brand building is getting more important, not less. Social platforms are where people still go to engage, express and explore. They're also where AI models go to learn. U.S. social commerce sales will surpass $100 billion in 2026, which makes social both an emotional engine and a conversion driver that brands cannot treat as a side project.

The typical internet user now spends a little over two hours a day on social media, which is enough attention to build relevance and feed machine understanding when content is tagged and structured.

Fix 3: Siloed Teams and Systems That Cannot Keep Up

The biggest obstacle to winning in 2026 will not be technology, it will be the way brands are organized to manage it. Most teams are still structured around channels. This model doesn't reflect how people shop today, and it will not work when agents can traverse the entire journey in a single interaction. Gartner’s latest research finds that agent adoption is already widespread, with 81 percent of martech leaders piloting or implementing AI agents, even as 45 percent say today’s vendor agents do not meet performance expectations. At the same time, only 15 percent of IT application leaders are moving toward fully autonomous agents, which underscores the need for clear governance and human-in-the-loop processes.

2026 is a Test of Brand Coordination, Not Just Innovation

AI isn't replacing marketers. It is exposing the cracks in how most brand systems are built. The next generation of commerce will reward brands that are clear, connected and aligned from end to end. That means visibility into performance, storytelling that resonates with people and teaches machines, and internal structures built to coordinate rather than compete. The brands that fix these fundamentals now will not just survive the shift, they will lead it.

Brett Banner is senior vice president of strategy at Wayvia, an AI-driven retail platform that enhances brand insights and revenue across channels.