JPMorgan sees Walmart, Apple as agentic AI winners
JPMorgan analyst Christopher Horvers suggests agentic AI will reshape retail by favoring companies that control checkout and customer data. Walmart, Apple, and Nike are highlighted as potential winners, while the grocery sector faces risks from automated replenishment and improved price discovery.

*this image is generated using AI for illustrative purposes only.
JPMorgan analyst Christopher Horvers suggests the first wave of agentic AI will create distinct winners and losers in the retail sector. Retailers and brands that control checkout, fulfillment, and customer relationships may strengthen their competitive positions, while grocery retailers face the greatest disruption as AI automates routine shopping.
Retailers poised to benefit
Wall Street's concern has centered on AI assistants like ChatGPT standing between retailers and consumers. However, JPMorgan believes this risk has eased after OpenAI moved away from its Instant Checkout model. AI platforms are increasingly acting as a more potent version of searching, helping consumers discover products while purchases continue through retailer-controlled checkout.
This shift favors companies positioned to own more of the shopping journey. JPMorgan identifies Walmart Inc. as leading the pack with its Sparky AI assistant and integrations with third-party Large Language Models (LLMs) for product discovery, basket building, and checkout.
Meanwhile, Apple Inc. and Nike, Inc. represent brands with established direct-to-consumer businesses. These companies could increasingly steer shoppers to their own channels, allowing them to capture the full retail margin.
Grocery sector faces risks
Not every retail category stands to benefit from these advancements. JPMorgan places grocery at the top of the risk bucket because repetitive, low-consideration purchases are well-suited for automated replenishment.
Additionally, AI improves price discovery, making it easier for consumers to compare products. This capability could potentially increase pricing pressure on grocery retailers. Categories where browsing is part of the experience—such as beauty, home furnishings, and pet products—remain relatively insulated.
Strategic implications
JPMorgan's analysis indicates agentic AI is not replacing retailers but reshaping how consumers find them. Retailers that invest to win with major LLMs while building their own AI agents stand to strengthen customer acquisition, improve shopping experiences, and preserve ownership of valuable customer data.
For investors, the focus shifts away from which AI model wins. The companies best positioned for the agentic AI era may simply be the ones that continue to own the customer after the AI conversation ends.
How will smaller retailers compete with giants like Walmart in developing proprietary AI agents without the same R&D resources?
What specific strategies can grocery retailers adopt to differentiate their value proposition beyond price to counter automated replenishment?
Will the increased reliance on AI for product discovery lead to new regulatory scrutiny regarding data ownership and antitrust concerns?































