Alphabet’s latest earnings call did more than showcase surging AI adoption and record capital spending. It offered a preview of a commerce environment where purchases, including complex business orders, could increasingly be initiated and completed by artificial intelligence agents.
For wholesale distributors, that vision carries an unmistakable message: the next buyer may not be a procurement manager browsing a website, but an AI system evaluating suppliers, checking availability, validating price terms, and placing orders inside Google’s AI interfaces.
CEO Sundar Pichai said Google has “laid the groundwork for shopping in the AI era” with the Universal Commerce Protocol, an open standard designed to let AI systems complete transactions directly within Google products such as Search’s AI Mode and the Gemini app.
“I think the launch of the Universal Commerce Protocol has been super well received,” Pichai said. “Now we are integrating those experiences into Gemini, AI Mode and so on.”
While framed in consumer terms, the mechanics mirror the structure of B2B purchasing: specification-driven searches, repeat orders, contract pricing, and policy-based approvals — tasks that lend themselves to automation.
A new kind of buyer behavior
Google said AI search sessions are becoming longer and more conversational, with users increasingly relying on AI-generated answers rather than navigating multiple websites. Queries in AI Mode are now significantly longer and often lead to follow-up questions, the company said.
For distributors, this suggests that the product research phase — historically where sales reps, catalogs and distributor websites play a significant role — may shift upstream into AI-driven interactions.
Instead of a buyer visiting a distributor site to compare products, an AI agent could perform that evaluation inside Google, pulling structured data from multiple suppliers and narrowing choices before a human ever gets involved.
Commerce inside AI responses
Google’s advertising chief, Philip Schindler, said the company is testing ways to integrate commercial activity into these AI sessions. That includes pilots for “direct offers,” where advertisers can present promotions to users deemed ready to buy, and experiments placing ads below AI-generated answers.
“We are in the early stages experimenting with AI mode monetization,” Schindler said. “For example, we announced direct offers, which will allow advertisers to show exclusive offers for shoppers who are ready to buy directly in AI mode.”
Google also said users will soon be able to complete purchases directly inside AI mode and Gemini with select merchants.
For distributors, which signals a shift where visibility in Google’s AI layer could become as important as ranking in traditional search results.
Why structured data becomes strategic
In this model, AI agents must be able to read, compare, and act on product and supplier information. That puts a premium on structured, machine-readable data: detailed specifications, compatibility information, units of measure, packaging quantities, inventory status, delivery times, and pricing logic.
Distributors that historically optimized digital content for human browsing may need to rethink their data architecture for machine consumption.
Equally important are transactional capabilities. If AI agents are to place orders, distributors must expose reliable interfaces for pricing, availability, and order placement that machines can access in real time.
Infrastructure signals long-term intent
Alphabet underscored its commitment to this AI-led future by projecting $175 billion to $185 billion in capital expenditures for 2026, to expand AI computing capacity for its own services and for Google Cloud customers.
Chief Financial Officer Anat Ashkenazi said about 60% of recent capital spending has gone toward servers and 40% toward data centers and networking equipment.
Pichai noted that 75% of Google Cloud customers are already using the company’s AI stack, and enterprises are building AI agents on top of Gemini and Google infrastructure — the same foundation that could power automated purchasing.
From websites to AI endpoints
For years, distributors have invested heavily in e-commerce platforms, search optimization and digital catalogs aimed at human buyers. Google’s roadmap points to a future where distributors must also be optimized for AI endpoints.
In that world, the question is no longer just, “Can a buyer find us online?” but “Can an AI system understand us, evaluate us and transact with us?”
Pichai described the goal as making commerce “seamless” as users move from discovery to action inside Google’s AI experiences.
For wholesale distributors, that seamless path may increasingly bypass the traditional website altogether and run straight through an AI agent acting on behalf of the customer.
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