Walmart and Amazon are taking increasingly different approaches to the future of artificial intelligence-powered shopping, highlighting a growing battle over who will control the next generation of online retail. Walmart is moving toward technology that allows AI agents to help customers discover products and complete purchases, while Amazon has taken a more restrictive stance toward unauthorized automated shopping tools on its platform. The divide reflects a larger question confronting the retail industry: should AI assistants become a new gateway to online shopping, or should retailers maintain tighter control over how customers and automated systems interact with their stores?
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AI shopping agents are designed to do more than answer questions or recommend products. Depending on their capabilities, they can interpret a customer's needs, compare available items, evaluate prices, identify suitable alternatives, and potentially carry out purchasing steps on the customer's behalf. Instead of manually searching through product listings, shoppers could describe what they want in ordinary language and let an AI system help narrow down the options.
For retailers, this technology could fundamentally change how consumers discover products. Online shopping has traditionally revolved around search bars, category pages, recommendation engines, and sponsored listings. AI agents introduce another layer between customers and retailers, potentially deciding which products shoppers see, which sellers receive attention, and where transactions ultimately take place. That makes the development of AI-assisted commerce both a major opportunity and a potential threat to the established online retail model.
Walmart's interest in AI-powered shopping fits into its broader effort to combine its extensive retail operations with digital services. The company operates thousands of stores, a large e-commerce business, and a supply chain designed to move products across the United States and international markets. Its physical footprint provides an advantage in areas such as local inventory, store pickup, and delivery, all of which could become more useful if AI agents help customers move from product discovery to fulfillment.
An AI shopping assistant could help a customer plan a week's groceries, assemble supplies for a home project, find clothing within a specified budget, or compare products according to particular requirements. Rather than requiring shoppers to navigate multiple categories, an agent could organize a list of options based on price, availability, features, and delivery preferences. If connected to a retailer's systems with appropriate authorization, it could potentially check local inventory and help coordinate pickup or delivery.
The opportunity extends beyond convenience. Retailers may be able to use AI agents to make product catalogs easier to navigate, answer routine questions, and help customers discover relevant items they might otherwise overlook. An agent could also assist with complicated purchases by explaining product differences in plain language. These functions could be especially valuable for shoppers who find traditional search interfaces cumbersome or who need help comparing products with many technical specifications.
Walmart's latest move is designed to make this type of shopping more reliable. On October 21, 2026, the retailer announced three connected initiatives: Agent Profiles, the Walmart Agent Gateway, and new rules governing how AI agents can interact with its services. The tools are intended to let customers shop through the AI applications they choose while preserving controls over purchases, spending, and access to personal information.
The planned Agent Profiles feature will give authorized AI agents a dedicated profile connected to a customer's Walmart account. This separation is intended to make agent activity easier to monitor, allowing customers to distinguish purchases made by an automated assistant from those they make themselves. Walmart says customers will be able to set spending limits, require approval for every purchase, and disable an agent's access when they no longer want it to shop on their behalf.
The company is also developing the Walmart Agent Gateway, a system designed to help AI agents communicate with its retail infrastructure through a more direct and reliable interface. Rather than forcing automated assistants to navigate a conventional website exactly as a human shopper would, the gateway is intended to provide a structured way for agents to find products and complete shopping tasks. Walmart says the system can help agents identify a customer's usual purchases without exposing the customer's broader shopping history to the agent. The gateway is beginning with a beta for companies and developers.
These controls are important because an AI agent that can purchase products needs more than the ability to make recommendations. It must know what the customer has authorized, when it should ask for confirmation, and which information it is permitted to access. Walmart says agents cannot add or change a customer's payment methods and must not take actions beyond the shopper's intent. Agents that violate the company's terms can be blocked from its platform. The retailer has also said its listed prices will remain the same for human shoppers and AI agents, with applicable offers and fees shown before checkout.
Amazon, by contrast, has taken a more restrictive approach to third-party shopping agents. In September 2026, the company blocked Meta's Muse assistant from accessing its retail website after objecting to the automated tool's activity. Amazon said it had not authorized Muse and maintains restrictions on outside automated systems shopping through its platform. Customers attempting to use the assistant to shop on Amazon encountered messages indicating that the activity violated the retailer's terms.
The disagreement reflects a deeper commercial conflict. An independent AI assistant is designed to act on behalf of the customer, potentially comparing products across multiple retailers and recommending the best option without prioritizing any single marketplace. Amazon, however, has built a substantial business around keeping shoppers within its own shopping environment, where it can manage product discovery, sponsored listings, recommendations, checkout, and the broader customer experience.
If outside agents become a common way to shop, they could change how consumers reach Amazon's marketplace. A shopper might ask an AI assistant to find the cheapest compatible laptop charger, compare delivery estimates, and purchase the best option. The assistant could make that decision based on information from several sellers rather than beginning and ending the process on Amazon. That could reduce the retailer's influence over product discovery and weaken the value of its own search and advertising systems.
There are also practical reasons a retailer might resist allowing external agents unrestricted access. Automated systems can make large numbers of requests, interact with websites in unexpected ways, or encounter security measures intended for human visitors. Retailers must also consider account security, privacy, purchasing errors, fraud, and responsibility when an agent performs an action that the customer did not intend. Amazon's position reflects its desire to control how external automated tools interact with its services, even as the company develops its own AI-powered shopping capabilities.
Amazon is not rejecting AI shopping altogether. It has been investing in its own shopping assistant and AI features, including Alexa-related shopping tools. The distinction is between using AI within Amazon's own environment and allowing independent agents controlled by other companies to operate on its marketplace. By retaining control over its shopping interfaces, Amazon can determine how AI recommendations are presented and how transactions move through its systems.
Walmart's approach may offer a different competitive advantage. By cooperating with outside AI platforms, it can make its products discoverable in more places where consumers are already asking questions and seeking recommendations. The company has announced integrations and partnerships involving AI experiences such as ChatGPT, Google's Gemini, and Meta's Muse, alongside its own Sparky shopping assistant. This allows Walmart to pursue both external distribution and an in-house AI experience rather than relying exclusively on one channel.
That strategy could be particularly useful when consumers are researching purchases rather than visiting a retailer with a specific product already in mind. Someone planning a camping trip, for instance, might ask an AI assistant to recommend a tent, sleeping bag, cooking equipment, and other supplies within a set budget. If Walmart's products are integrated into the assistant's shopping process, the retailer could reach that customer earlier in the decision-making process. It may gain an opportunity to compete on price, availability, and fulfillment before the shopper has committed to another marketplace.
Nevertheless, welcoming outside agents carries its own risks. Walmart must ensure that an automated assistant represents product information accurately, respects customer permissions, and does not create confusing or unwanted purchases. It also needs to maintain a strong relationship with shoppers if an outside AI platform becomes the primary interface through which they discover and buy its products. The more customers rely on another company's assistant, the greater the possibility that the AI provider—not the retailer—will influence product recommendations and own the most valuable part of the shopping experience.
This is why the emerging market for AI shopping agents is about more than convenience. It is also a contest over customer relationships, product visibility, transaction data, and advertising revenue. Retailers want customers to find their products, but they also want to control how those products are presented and how purchases are completed. AI companies, meanwhile, have an incentive to make their assistants useful enough that consumers rely on them for everyday tasks, including shopping.
The outcome could reshape digital advertising. In conventional e-commerce, a retailer can promote products through sponsored search placements and recommendations. An AI agent may instead provide a short list of products based on a customer's request. That changes the competitive dynamics: brands may need to ensure that product descriptions, specifications, prices, availability, and reviews are clear enough for AI systems to evaluate. Retailers may also need new ways to measure whether AI-generated recommendations translate into actual sales.
For consumers, the best outcome would be a system that offers genuine choice while keeping purchasing decisions transparent. An effective shopping agent should compare relevant alternatives, explain why it recommends a product, identify additional costs, and respect a customer's budget. It should not quietly favor a retailer because of a commercial relationship or purchase items without the permissions granted by the user. As these services become more capable, clear disclosure and practical spending controls will be essential to maintaining trust.
The competition between Walmart and Amazon shows that the industry has not yet settled on a single model for agentic commerce. One approach emphasizes cooperation with outside AI assistants under defined rules; the other gives the retailer tighter control over which automated systems can use its marketplace. Both approaches reflect legitimate business interests, but they distribute control differently among retailers, AI companies, and consumers.
Walmart's announcement is an important step toward making AI agents a recognized part of its shopping infrastructure. Amazon's restrictions demonstrate that access to major retail platforms cannot be taken for granted, even when an automated assistant is designed to help a consumer. As the technology evolves, retailers will have to decide whether outside agents are partners that can attract more customers or intermediaries that threaten their control over online shopping.
Ultimately, the companies that succeed may be those that combine useful AI experiences with reliable product information, secure transactions, and clear customer permissions. Walmart is betting that opening its doors to authorized agents will help it reach shoppers wherever they choose to interact with AI. Amazon is betting that maintaining control over its own marketplace remains essential. The decisions both companies make today could help determine whether the future of online shopping is dominated by retailer-controlled assistants, independent AI agents, or a combination of the two.