LAS VEGAS, NV — If there was one recurring message at Shoptalk Spring 2026, it was this: The retail experience is fracturing, and the old ways of connecting with customers are obsolete. While the $3 trillion opportunity of agentic commerce—where autonomous AI agents act as the buyer and intermediary—is the new frontier, a crucial challenge remains: How do brands become discoverable?
The luxury market is feeling this heat first. David Yurman, a brand synonymous with intricate design and curated storytelling, is actively rewriting the playbook for discoverability in an environment where the “search bar” is no longer the gateway.
The New Battleground: Intent, Not Keywords
Neha Kovach, Global Head of CRM, CX, and Loyalty at David Yurman, joined experts from Google and OpenAI to deliver a stark warning about the rising power of AI agents. In this new ecosystem, a generic “cashmere sweater” search is replaced by an 80-word conversational prompt.
For a luxury brand like David Yurman, this changes the definition of an online product.
“A customer may say ‘I need to shop for camping shoes in this price range,’ but if you don’t have products that fit into those parameters, it won’t show up in an [agentic] search,” Kovach explained. “It will choke the recommendation.”
Action Item: Deep Contextualization
The solution, Kovach argued, is a move beyond basic SKUs (Stock Keeping Units) toward “rich contextualization” and “deep storytelling.”
- Metadata is Mandatory: Agents match; they don’t browse. A product that lacks rich metadata—which includes Reddit reviews, social media scans, and third-party context—will be invisible to the autonomous buyer.
- Intent is Key: Discoverability in 2026 is about matching a “moment in a customer’s life” rather than a specific item. A brand’s product narrative must align with that moment.
Attuning Agents to Personal Preferences
Once a customer is found, the challenge shifts to context and continuity. David Yurman is focused on the concept of the “agent handoff.”
Kovach gave a concrete example: If a client has a 10-year purchase history of gold jewelry and is currently “self-gifting,” an intelligent agent must not recommend silver. A true agentic system must understand trend history and purchase history to provide context.
Action Item: Seamless Continuity
The goal is to carry the specific experience forward. If a search starts with a prompt like “Show me potential graduation gifts for my 16-year-old daughter,” that entire context must follow the customer from the search agent directly onto the brand’s Product Landing Pages (PLPs) and Product Detail Pages (PDPs).
The future of luxury, Kovach suggested, is a seamless integration of the AI agent with the final brand story.
The Broader Shoptalk 2026 Hot Takes: Is “Human Touch” Optimal?
The conversation extended far beyond luxury discoverability. Here are some key “hot takes” from other retail giants on the state of AI in 2026.
Rethinking the “Optimal” Human Experience
In a provocative take, Bret Taylor, Co-founder and CEO of Sierra and Chairman of the Board at OpenAI, argued that for many customer exchanges, interacting with a human provides suboptimal service.
- Suboptimal: Waiting 30 seconds to speak to a human just to ask if a 5 p.m. delivery is still on time.
- Optimal: An AI agent that provides that answer instantly, 24/7.
Taylor argued that by offloading simple, transactional tasks to agents, retailers can drive up Net Promoter Scores (NPS) while reserving their human capital for differentiated high-touch experiences where empathy actually makes a difference. “It doesn’t remove the human touch; it amplifies the human experience,” he concluded.
The Invisible AI in the Supply Chain
While front-facing bots get the attention, The Home Depot is finding massive AI impact where the customer doesn’t even know it’s happening.
Angie Brown, EVP and CIO at The Home Depot, shared how they use AI to analyze route intelligence. Delivering lumber or building supplies via flatbed truck requires a different level of logistical data than parcel delivery.
“Our route intelligence can see that… the road is too narrow for a flatbed truck,” Brown said. “We’re using AI to look for anomalies and take action—but all the customer knows is that they got the delivery in time.”
Historical Perspective: Trust the Hockey Stick
Finally, Dustin Holmstrom, Field CTO at Shopify, reminded the industry that mobile commerce didn’t “hockey stick” until a few years after the introduction of the iPhone. Consumers had to build trust.
“I believe AI will hockey stick faster,” Holmstrom predicted, noting that the groundwork of customer service and trust is being laid right now.
Giving the final word of comfort, Andrew Laudato, COO of The Vitamin Shoppe, stated, “None of us are behind on AI. Even if you think you’re ahead, it’s going to change every day.”