Why this matters to distributors: Google’s agentic commerce strategy is moving from experimentation to infrastructure. As AI agents become more involved in procurement and purchasing, distributors will need machine-readable product data, accessible pricing, and modern commerce systems to remain visible in automated buying workflows. The competitive battleground is shifting from website traffic and digital merchandising to data quality, interoperability, and AI readiness.
Google is rapidly building the infrastructure for a future in which artificial intelligence agents can discover products, compare suppliers, negotiate transactions, and complete purchases with little or no human involvement.
The company’s latest announcements at its Google I/O developer conference in May suggest that future may arrive sooner than many distributors expect.
Over the past nine months, Google has introduced a series of technologies designed to support what it calls “agentic commerce” — a model in which AI agents act on behalf of buyers throughout the purchasing process. The initiatives include new payment protocols, commerce standards and shopping tools that collectively create the foundation for automated buying and selling across Google’s ecosystem.
For wholesale distributors, the implications extend far beyond consumer retail. As AI agents increasingly participate in procurement and purchasing decisions, distributors may find that product data, pricing transparency and machine-readable commerce systems become as important as sales relationships and websites.
Building the Foundation
Google’s effort began in September 2025 with the launch of the Agent Payments Protocol, or AP2, an open framework designed to allow AI agents to securely authorize and complete transactions.
The protocol creates a verifiable audit trail through digitally signed “mandates” that document buyer intent and approval. Google says the system is designed to provide accountability and security comparable to traditional online transactions while enabling AI-driven purchasing workflows.
More than 60 companies supported the launch, including American Express, Mastercard, PayPal, Etsy, and Coinbase.
Unlike conventional payment systems, AP2 is designed to work across multiple payment methods, including credit cards, bank transfers, digital wallets, and cryptocurrencies. The protocol also supports more complex business processes such as automated replenishment; supplier payments tied to delivery confirmation and software license renewals.
Three months later, Google expanded its ambitions beyond payment.
At the National Retail Federation’s annual conference in January 2026, the company introduced the Universal Commerce Protocol, or UCP, an open standard intended to create a common language between AI agents, merchants, retailers, and payment providers.
The protocol supports product discovery, checkout, order management, and post-purchase interactions. Launch partners include Walmart, Target, Shopify and more than 20 other companies.
Google also introduced Business Agent, which allows shoppers to interact with brands through conversational interfaces in Search, and new Merchant Center tools intended to improve visibility in AI-driven shopping environments.
Google I/O Brings Pieces Together
While AP2 and UCP established the underlying infrastructure, Google’s announcements at I/O represented the first major effort to connect those components into a unified commerce system.
The centerpiece was Universal Cart, a shopping cart that operates across Google Search, Gemini, YouTube, and Gmail. Consumers can add products from multiple merchants into a single cart while Google’s AI tracks prices, inventory availability, promotions, and restocking information.
Google also expanded AP2’s capabilities by allowing users to set purchasing parameters, including preferred brands, product requirements, and spending limits. Once those conditions are met, AI agents can complete purchases automatically.
In another significant move, Google donated AP2 to the FIDO Alliance, signaling that it intends for the protocol to become an industry standard rather than a proprietary technology.
The company also announced expanded buy-now-pay-later integrations through Affirm and Klarna, while extending Universal Cart into additional categories including hotel bookings and local food delivery.
Taken together, the announcements illustrate Google’s broader strategy: creating a commerce infrastructure in which AI agents can discover, evaluate, and purchase products across a wide range of categories without requiring users to navigate individual websites.
Why Distributors Should Pay Attention
Most discussion surrounding agentic commerce has focused on consumer shopping. The larger long-term opportunity may be in business purchasing.
Procurement processes often involve repetitive tasks that are well suited to automation, including product searches, supplier comparisons, inventory checks, replenishment orders, and documentation review.
Industry analysts increasingly expect AI agents to become part of those workflows.
Research firms, including Gartner and McKinsey project significant growth in AI-assisted commerce over the next several years. Gartner has estimated that trillions of dollars in B2B purchasing activity could eventually flow through AI-enabled procurement systems, while McKinsey projects agentic commerce could become a multi-trillion-dollar global market by the end of the decade.
If those forecasts prove accurate, distributors may face a new competitive reality.
Future buyers may not begin their purchasing journey by visiting distributor websites or calling sales representatives. Instead, procurement agents could evaluate suppliers, compare prices, verify specifications, and place orders automatically.
That shift would place greater emphasis on structured product data, real-time inventory visibility, API accessibility, and digital transaction capabilities.
In an agent-driven marketplace, distributors with incomplete product information, outdated catalogs or limited digital integration may become less visible to the systems making purchasing decisions.
Obstacles Remain
Agentic commerce is unlikely to transform B2B distribution overnight.
Business purchasing is more complex than consumer shopping. Many distributor relationships involve negotiated contracts, customer-specific pricing, approved supplier lists and multi-step approval processes.
Large purchases often require oversight from procurement, finance, and operations teams. Regulatory requirements, audit controls, and compliance obligations also create barriers to fully autonomous purchasing.
Integrating emerging protocols such as AP2 into existing ERP, procurement and payment systems will require significant investment and technical coordination.
Nevertheless, industry analysts view those challenges as factors that may slow adoption rather than prevent it.
Electronic data interchange automated many routine purchasing functions decades ago. AI agents could represent the next phase of that evolution by extending automation into product discovery, supplier evaluation, and transaction execution.
A Narrowing Window
Google’s rollout of AP2, UCP and Universal Cart represents more than a series of product launches. It reflects a deliberate effort to build the infrastructure required for AI-driven commerce.
For distributors, the immediate question is not whether agentic commerce reaches their markets. It is whether their digital infrastructure will be ready when procurement agents begin searching for suppliers.
That readiness will depend heavily on the quality of product data, the availability of machine-readable pricing and inventory information, and the ability to connect with emerging commerce standards.
The relationship-driven sales model that has defined wholesale distribution for generations is unlikely to disappear. But the earliest stages of the buying process — discovery, evaluation, and initial transaction execution — are increasingly being automated.
As Google’s commerce infrastructure expands, distributors that can be found, understood, and transacted with by AI agents may gain an advantage. Those that cannot risk becoming harder for future buyers to find, regardless of the strength of their traditional sales relationships.
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