If there was one undeniable takeaway from NRF 2026, it’s that agentic commerce wasn’t just a theme. The topic dominated the entire show. From standing‑room-only educational sessions to jam‑packed expo booths, AI‑driven agents were the story retailers couldn’t stop talking about.
Walmart and Google set the tone with their session early on Sunday morning announcing their partnership to bring the power of Walmart’s shopping experience directly into the Gemini app. My conference ended with the amazing Jason Goldberg giving the final keynote of NRF helping to give some context to the true scale of the opportunity of agentic commerce if executed well in the future. ChatGPT alone reported 2.5 billion prompts every day in 2025. If just 0.5% of those queries turned into a transaction in 2026, imagine the impact on traditional retail.
Across the expo floor, almost every both promoted an ai solution, and “agentic” was one of the most frequently used words on vendor booths, showcased by major players like Adobe, Amazon/AWS, Google, IBM, Manhattan, Microsoft, NVIDIA, Salesforce, and more. NRF 2026 didn’t just flirt with AI. AI become the headline, reshaping discussions about merchandising, product development, payments, and customer engagement.
What Agentic Commerce Actually Means
So, here’s the fascinating part. I’ve been covering retail for decades, and I feel like I’m relatively attuned to emerging trends. However, I’m not a technology expert. I arrived at NRF with absolutely no clue what “agentic” commerce was, so here’s a quick intro.
Agentic commerce refers to the growing role of AI agents that automatically search, filter, compare, and even complete purchases for consumers. One NRF analysis put it simply: “Agentic AI is transforming the how of shopping, even as the why behind consumer decisions remains deeply human.”
In this new model, much of the decision-making happens before a human ever reaches a website. AI agents preselect the products, examine the options, and deliver a shortlist of recommendations. For brands and retailers, it’s about being discovered by agents upstream and ensuring available digital content improves your visibility for AI. More importantly, understanding what feeds the AI models becomes more important. They aren’t necessarily relying on retailers’ or brands’ websites but pulling from non-traditional sources including social media and influencer pages.
Related Article: AI-Powered, People-First: What NRF 2026 Means for Hispanic Grocers
Here’s the Part That No One Should Forget: Consumers Still Drive the System
Even in an agent-driven future, understanding the consumer is still the single most important strategic advantage.
Consumers still care about:
- What matters emotionally
- What problems they need solved
- What information builds trust
- What brand signals about identity
- How a product fits their lifestyle
Those core motivations haven’t changed, and they still power the algorithms. Agents create an efficient way for consumers to find the brands and products that most effectively meet their needs in the moment when they need them.
Even though the buzzwords have evolved, the underlying reality hasn’t: understanding your consumer is still the foundation of everything.
Where AI Agents Get Their Consumer Understanding
The interesting but ironic element of this is simple. AI agents learn what matters to consumers through the content brands already produce.
That includes:
- Product detail pages
- Web imagery and lifestyle photos
- Ratings, reviews, and user-generated content
- Structured product data
- Influencer content and social media narratives
- Category taxonomies and searchable attributes
All of these become training signals, either through model ingestion or real-time data evaluation. They shape how agents understand your brand, your product, and your ideal consumer. It’s no longer SEO. It’s AEO: Agentic Engine Optimization.
What Brands Should Do Right Now
The path to winning in an agentic-commerce world is surprisingly straightforward:
- Know your consumer deeply.
- Make those insights impossible for AI agents to miss.
- Clean up your product data.
- Tell a clear, specific, consistent story across every touchpoint.
- Ensure your imagery and content reflect real consumer needs and identity drivers.
Because before an AI agent can recommend your product, it must recognize your product.
And before it can recognize your product, it must understand what it is, who it’s for, and why it matters. That understanding comes from you.
The Bottom Line
Agentic commerce may be this year’s “metaverse” in terms of buzz. However, this time, the shift is both real and rapidly operationalizing. With major players investing heavily and early demos already transforming shopping journeys, the future is arriving fast.
But the brands who win won’t be the ones chasing hype cycles.
They’ll be the ones who:
- Build on fundamentals
- Understand their consumers better than anyone else
- Translate those insights into rich, structured, meaningful digital content
- And make themselves easy for AI agents — and humans — to choose
The future of commerce may be agentic, but the drivers of commerce are still human.