Goldman Sachs: 4 retailers show AI is the new shopping entry point

A structural shift in consumer shopping is accelerating, with AI platforms rapidly replacing traditional search as the primary entry point for commerce, according to Goldman Sachs analysts. The trend, highlighted at the recent Shoptalk retail summit, is forcing brands to build a presence on AI channels or face being excluded from a new generation of consumer discovery.

"Consumers are starting their shopping journey in new places," Goldman Sachs analysts Brooke Roach and Kate McShane noted at the conference. For retailers like GAP, this is a channel with higher-intent customers and stronger conversion rates. The apparel company, which has joined Google's Universal Commerce Protocol early partner program, said it is actively engaging with the shift rather than observing from the sidelines.

The move to AI-driven shopping is widespread. Walmart's AI assistant, Sparky, is already driving consumer baskets that are 35 percent larger on average. Sephora launched a dedicated application within ChatGPT to provide personalized beauty advice, while Home Depot introduced its "Magic Apron" agent for project-related questions. Lowe's is using its "MyLow" AI assistant to provide personalized recommendations, with management noting that customers now expect comprehensive answers, not just keyword search results.

This migration of traffic presents a direct challenge to Google's long-standing dominance in product search and creates a new strategic imperative for brands. Retailers that once focused on search engine optimization (SEO) must now master what is becoming known as Generative Engine Optimization (GEO), ensuring their products and content are structured to be found, understood,and recommended by AI agents.

The New Rules of Agentic Commerce

Winning in an AI-driven retail environment requires a foundational shift from human-centric design to machine-readable systems. According to David Blumer, senior director of AI products at Apply Digital, retailers must prioritize making their product data and checkout processes agent-friendly. This involves stripping marketing language from descriptions and replacing it with structured attributes and use cases that an AI can parse and compare.

The infrastructure for this shift is already live. With Google's Universal Commerce Protocol and OpenAI's Agentic Commerce Protocol, AI agents can now browse, compare, and complete purchases across multiple brands. Retailers supporting these protocols are seeing significantly more agent-driven traffic. "The retailers that move first on multiprotocol checkout won't just capture a new channel," Blumer wrote, "they'll lock in compounding advantage as agent adoption scales."

Trust and Logistics Challenge AI's Retail Rise

Despite the rapid adoption of AI tools, brands face a significant headwind: eroding consumer trust. At the Shoptalk conference, Reddit noted that users are growing resistant to AI-generated content, which they perceive as simple restatements of other sources, and are instead seeking answers based on authentic human experience. American Eagle Outfitters emphasized the need to clearly label AI-generated content to maintain brand integrity and avoid misleading consumers.

Beyond trust, there are fundamental economic and operational hurdles to overcome. Simon Wolfson, CEO of UK retailer NEXT, questioned the viability of a fully disintermediated shopping experience where an AI agent buys from multiple retailers. "If it goes to four retailers rather than one, you end up with that six percent [delivery cost] being multiplied by four," Wolfson argued. He also pointed to the logistical complexity of handling returns, a critical component of clothing retail, in a multi-vendor, agent-driven transaction.

For now, the most immediate impact of AI appears to be as an enhanced form of advertising and search. However, as retailers build out their agentic capabilities, they must balance the race for technological adoption with the difficult work of solving for consumer trust and complex logistical realities.

This article is for informational purposes only and does not constitute investment advice.