Agentic Commerce Arrives: Walmart Bets Big as Amazon Locks AI Agents Out

On October 21, 2026, Walmart made a decision that will define the next decade of retail: it opened its digital doors to outside AI agents instead of locking them out. Agentic commerce, the practice of AI agents autonomously browsing, selecting, and purchasing products on a human's behalf, just went from theoretical to operational at one of the world's largest retailers. While Amazon spent the same week blocking third-party shopping agents from its site, Walmart launched the Agent Gateway and a trust framework called Agent Profiles.

The split is not a footnote. It is a strategic fork in the road that every Fortune 500 executive needs to understand before the next earnings call. AI keynote speaker and consumer trends authority Matt Britton has spent the last year warning business leaders that AI agents will become a primary shopping channel, not a passing novelty.

Walmart's bet is simple: agentic commerce is coming whether retailers like it or not, so the smarter move is to shape its rules now rather than fight it later. Walmart has introduced an Agent Gateway and a set of new features to support customers who shop using AI agents, taking a different approach from rival Amazon, which recently began blocking agents from making purchases. Amazon, meanwhile, has pursued a defensive posture, going so far as legal action against at least one shopping agent provider.

Matt Britton, founder of consumer insights platform Suzy and author of the forthcoming Generation AI, argues this moment mirrors the early days of mobile commerce and social commerce. Retailers who built infrastructure early captured disproportionate share. Those who waited spent years playing catch-up. The same dynamic is now unfolding around AI shopping agents, and the early data suggests the winners will be decided fast.

What Is Agentic Commerce and Why Walmart Just Made It Real

Agentic commerce describes a shopping model where an AI system, not a human clicking through a website, handles search, comparison, and checkout. Instead of a shopper typing a query into a search bar, they tell an AI assistant what they need and the assistant executes the purchase within boundaries the shopper sets. Walmart's Agent Gateway uses the open standard Model Context Protocol, allowing AI systems to connect with external services and data, and aims to let agents shop for a user without needing to share their personal information or purchase history with the agent.

Walmart's announcement was not a single feature but a full framework. Walmart introduced a framework for AI agents to shop on customers' behalf, with Agent Profiles, the Walmart Agent Gateway, and new terms for AI agents giving customers clear permissions, controls, and protections as they shop Walmart and Sam's Club through the apps and agents they choose. This covers both the consumer-facing experience and the technical rails that let outside AI systems connect to Walmart's inventory.

The company was explicit about its motivation. Walmart said it is rolling out the new tools as AI agents become more mainstream, adding that it wants to help shape what shopping becomes rather than wait to see. That single line captures the strategic logic Britton has been pushing in boardrooms all year: companies that wait for agentic commerce to mature before building for it will find the rules already written by someone else.

Technically, the Agent Gateway functions as connective tissue between AI assistants and Walmart's catalog. The gateway uses model text protocol to establish a direct and structured communication channel for automated agents, and under the gateway's design, Walmart will match an agent's order request with a customer's preferred products. The gateway is currently in an early beta phase, with companies and developers able to request access.

Walmart Agent Gateway vs. Amazon's Lockdown: Two Bets on the Future of Retail AI

The contrast between Walmart and Amazon is the clearest signal yet that retail's two biggest players disagree on how fast agentic commerce will scale. Amazon has chosen containment. Amazon has a $68 billion reason to disagree with Walmart's approach, having blocked third-party AI shopping agents, including Meta's Muse, from accessing its website, and the company has pursued legal action against Perplexity over its shopping agent.

That does not mean Amazon rejects AI shopping outright. Amazon isn't opposed to AI agents shopping on behalf of its customers; it is, in fact, building its own Alexa shopping agent. Amazon's strategy is closer to a walled garden: control the agent experience entirely in-house rather than let outside systems operate on its platform.

Walmart's bet is the opposite. Walmart is embracing agentic commerce with the launch of its own Agent Gateway to manage transactions and other new features aimed at customers using AI agents, a move that comes shortly after Walmart's top competitor, Amazon, began blocking AI agents from making purchases on behalf of online shoppers. Rather than forcing shoppers into a single proprietary assistant, Walmart is positioning itself as the retailer of choice across every major AI ecosystem.

Walmart's existing partnerships back up that strategy. President and CEO John Furner, speaking at the Masters of Scale Summit in San Francisco, said the retailer is preparing for a future in which AI agents become mainstream, with the technology covering both Walmart and Sam's Club and building on existing partnerships with Meta's Muse and integrations with ChatGPT, Gemini, and other AI apps. Few retailers have this breadth of integration across competing AI platforms simultaneously.

There is a pricing commitment baked in too, which matters enormously for brand trust. Walmart said prices will be consistent across its interfaces, meaning agents will receive the same product prices, promotions, and delivery fees available to customers on Walmart.com. That single policy decision removes one of the biggest fears executives have raised in conversations with Britton: that agentic commerce would create pricing arbitrage or opaque dynamic pricing that erodes consumer trust in the brand itself.

Inside Walmart's Agent Profiles: The Trust Layer Fortune 500 Leaders Must Understand

The real story for business leaders is not the gateway itself but what Walmart built around it. Agent Profiles represent the first large-scale attempt to answer a question every CFO will eventually face: how much financial authority should an AI agent be allowed to hold? Walmart's three updates include Agent Profiles, to let shoppers authorize AI agents, set spending limits, and track purchases; Agent Gateway, for giving agents a more direct connection to Walmart's shopping services; and new purchasing rules, setting limits on agents' actions and access to customer information.

The spending controls are granular and designed around real dollar thresholds, not abstract permissions. Launching in the next month, Agent Profiles let customers authorize each AI agent with a dedicated profile within their account, separating the agent's purchases from their own, and customers can require approval for every purchase or set a spending limit, such as $50, $100, or $200, within which the agent can buy on its own, and can delete an agent's profile at any time.

Walmart also addressed the question every data privacy officer will eventually ask: what happens to purchase history when an outside AI company is involved in the transaction? Agents must not take actions beyond what the shopper intends, do not receive customers' payment-card information, and cannot add or change payment methods, and agents can access only the information needed for the task and allowed by the customer. The agent provider's privacy policy governs information the agent receives, while Walmart collects and processes information the agent provides under Walmart's Privacy Notice.

Enforcement is not optional for participating agents. Agents that do not follow the terms will be blocked from Walmart's site. That single clause establishes Walmart, not the AI platforms, as the final arbiter of acceptable agent behavior on its own storefront, a governance model other retailers will likely copy.

Walmart framed the entire initiative around a word executives should pay close attention to: trust. Walmart acknowledged that not everyone will want to shop using AI agents, but for those who do, the retailer said its goal is to "make our experience the most trusted" by building safeguards into the shopping process. In Walmart's own words, describing how the pieces fit together: "Put simply, Agent Profiles give customers control over what their agents can do, the Walmart Agent Gateway provides a reliable way for agents to shop and our terms establish the rules that those agents must follow."

This is exactly the kind of AI agent trust and governance architecture Matt Britton discusses on his Speed of Culture podcast, where he regularly breaks down how emerging technology shifts consumer expectations faster than most corporate policies can adapt. Brands that ignore this governance layer risk being locked out of the next major shopping channel entirely.

What AI Shopping Agents Mean for Brand Strategy, Data, and Catalogs

Consumer adoption of AI shopping agents remains early but is accelerating faster than most boardrooms have modeled. Analysts said the controls could build trust in an experimental channel, though only 16% of shoppers are currently comfortable delegating purchases to AI. That number will look dramatically different within eighteen months, which is precisely why Britton urges Fortune 500 leaders to build now rather than wait for majority adoption.

Early transaction behavior backs this up. An August survey of 1,000 U.S. adults found 11% had already used AI to complete a transaction, and spending limits and approval steps are Walmart's answer to that trust gap, making shoppers more willing to delegate, which means more orders where an agent, not a person, is doing the browsing. Every percentage point of adoption shifts purchasing power away from human browsing behavior and toward algorithmic decision-making.

This shift changes what brands must optimize for. Agentic commerce does not reward the loudest brand; it rewards the brand whose data an agent can trust, which makes catalog quality, pricing, and delivery accuracy hiring problems, not just tooling problems. An AI agent cannot be swayed by clever packaging copy or an influencer partnership the way a human browsing a feed can. It optimizes on structured, verifiable data.

Other platforms are already proving the volume potential. Perplexity partnered with Firmly.ai to enable in-chat purchasing across 150+ retailers since launch in late 2024, with shopping queries up 5x. That kind of growth curve is why Britton tells clients in finance, retail, and real estate that agentic commerce readiness is no longer a future-state innovation project. It belongs on this year's roadmap.

Fortune 500 leaders across sectors are already asking how this applies beyond pure retail. Matt Britton's work with audiences through finance-sector AI keynotes and real estate-focused AI presentations increasingly centers on the same question Walmart just answered publicly: who controls the authorization layer when an algorithm, not a person, makes the purchase decision?

Preparing Your Organization for the Agentic Commerce Shift

Walmart's framework offers a practical blueprint other industries can adapt immediately, even outside of consumer retail. The core components translate directly to B2B procurement, financial services, and real estate transactions:

• Identity verification: Every agent acting on a customer's behalf needs a distinct, auditable profile separate from the human account.
• Spending authorization tiers: Dollar-based thresholds with built-in approval requirements prevent runaway agent spending.
• Data minimization: Agents should access only the data required for the immediate task, not the full customer history.
• Payment firewalling: Sensitive payment credentials should never pass through third-party AI systems directly.
• Compliance enforcement: Non-compliant agents need a clear, enforceable removal process, not a warning system.

Younger consumers are leading this adoption curve, which is why Britton's Gen Z-focused keynote work increasingly overlaps with agentic commerce strategy. The generation most comfortable delegating decisions to AI assistants is also the generation entering peak earning and spending years, a combination Fortune 500 brands cannot afford to ignore.

Key Takeaways for Business Leaders

• Audit your checkout infrastructure now to determine whether AI agents can currently complete a purchase on your platform, and decide deliberately whether to welcome or restrict them.
• Build spending and approval tiers similar to Walmart's Agent Profiles before regulators or competitors force a reactive policy.
• Prioritize structured product data since AI agents make purchasing decisions based on verifiable catalog accuracy, not brand storytelling.
• Establish a cross-functional governance team spanning legal, data privacy, and ecommerce to own agent authorization policy.
• Monitor adoption data quarterly rather than annually, since agentic commerce adoption curves are compressing faster than prior digital shifts.

Frequently Asked Questions

What is agentic commerce?

Agentic commerce is a shopping model in which an AI agent, rather than a human, searches, compares, and completes purchases on a consumer's behalf within permissions the consumer sets. Walmart's October 2026 Agent Gateway launch made this model operational at scale, allowing approved AI assistants like ChatGPT, Gemini, and Meta's Muse to transact directly within defined spending limits and data protections.

How does Walmart's Agent Gateway work?

Walmart's Agent Gateway uses the open standard Model Context Protocol, allowing AI systems to connect with external services and data, and aims to let agents shop for a user without needing to share their personal information or purchase history with the agent. It functions as a direct, structured connection between approved AI assistants and Walmart's product catalog and checkout systems.

Why is Amazon blocking AI shopping agents while Walmart welcomes them?

Amazon has chosen a defensive strategy, blocking third-party AI shopping agents including Meta's Muse from accessing its website and pursuing legal action against Perplexity over its shopping agent , preferring to build its own in-house Alexa agent. Walmart instead bet that controlling the rules of engagement, rather than blocking outside agents entirely, better positions it for agentic commerce's growth across multiple AI ecosystems.

What are Walmart's Agent Profiles?

Agent Profiles are a Walmart feature, planned to launch within a month of its October 2026 announcement, that lets shoppers authorize third-party AI agents, set spending limits, and see which purchases an agent made. They separate each authorized agent into its own identity within a customer's account, giving brands and shoppers a trust and governance layer for autonomous purchasing.

Agentic Commerce Is No Longer Optional

Walmart's Agent Gateway announcement is not an isolated product launch. It is a signal that agentic commerce has moved from experimental pilot to board-level strategic priority, and the retailers and brands that build governance infrastructure now will own the next decade of customer relationships. Matt Britton has built his reputation warning Fortune 500 audiences that technology shifts of this magnitude rarely announce themselves twice.

Executives serious about preparing their organizations for AI agents as a primary purchasing channel should start by understanding the trust architecture Walmart just built in public. Matt Britton brings this analysis directly to leadership teams through his speaker platform, translating emerging consumer AI behavior into concrete business strategy. For organizations ready to move from observation to action, booking Britton for a keynote is the fastest way to align leadership around what comes next in agentic commerce.