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News18•20-09-2026, 12:00
AI-to-AI Communication Revolutionizes Ad Buying and Selling: Report
  • •A new report by ADvendio highlights how AI-to-AI communication will transform advertising by enabling automated system interactions, reducing manual coordination across the fragmented ad ecosystem.
  • •The Ad Context Protocol (AdCP), an open standard, is central to this shift, providing a shared language for AI systems across buyers, publishers, media networks, and ad-tech platforms.
  • •AdCP allows buyer AI systems to directly communicate with publisher technology to discover inventory, align targeting, verify availability, and negotiate terms in real-time, moving beyond traditional automation.
  • •This represents a shift from specific workflows to agentic AI systems that adapt to changing objectives and coordinate across multiple platforms, addressing decades of fragmentation in ad operations.
  • •While AI communication streamlines operations, commercial rules, framework agreements, negotiated pricing, and margin requirements still need to be applied and managed by a commercial layer before transactions are finalized.

Key Questions Answered

The Ad Context Protocol (AdCP) is an open standard that provides a shared operational language for artificial intelligence systems across the advertising ecosystem. It enables autonomous collaboration, allowing a buyer's AI system to directly communicate with a publisher's technology to discover inventory, align targeting, verify availability, and negotiate terms in real time.

The ADvendio report outlines three distinct phases in the evolution of ad sales: a largely manual system involving email chains and human approvals, a second phase utilizing AI-enabled assistance and copilots to boost individual productivity, and a third phase driven by autonomous, agentic automation enabled by open standards like AdCP.

Simply allowing AI systems to communicate does not make transactions automatically trustworthy. Commercial controls and rules are still required to account for framework agreements, negotiated pricing, spending commitments, publisher margins, and to properly handle matching, clearing, reconciliation, and discrepancy resolution.