The next phase of AI-driven media buying may depend less on replacing advertising infrastructure than on giving autonomous agents a common language to use it. IAB Tech Lab has announced AAMP 3.0, an expansion of its Agentic Advertising Management Protocols framework that introduces OpenProposal, a specification designed to standardize how buyer and seller agents exchange, evaluate and negotiate advertising proposals before a media transaction is committed.

IAB Tech Lab Targets a Missing Layer in Agentic Media Buying

AI agents are increasingly being positioned to handle media discovery, planning and buying, but a major part of the advertising workflow still depends on human-operated processes: the request for proposal, proposal comparison and movement from a media brief toward a committed buy.

AAMP 3.0 is designed to address that gap. Its new OpenProposal specification gives publishers and other sellers a standardized, machine-readable format for describing advertising products and responding to buyer briefs. Buyer agents can then retrieve proposals, compare them against campaign requirements and assess their suitability before moving into negotiation and execution.

The distinction matters because existing advertising standards already cover significant portions of the transaction lifecycle. IAB Tech Lab’s ecosystem includes AdCOM, which provides common advertising objects and terminology, OpenDirect for automated direct transactions, and the Deals API for standardizing deal information between systems.

OpenProposal effectively adds another layer before those execution mechanisms become relevant.

From Media Brief to Machine-Readable Proposal

Under AAMP 3.0, sellers can publish catalogs of advertising packages or respond to customized briefs. Buyer agents can discover available opportunities, evaluate them against audience, timing and other campaign requirements, and move suitable proposals toward negotiation.

That could change the economics of media planning. Instead of a planner manually reviewing a limited number of publisher proposals, an agent could theoretically process a substantially broader set of opportunities using standardized data.

The proposal itself is also intended to carry more context than price and inventory details. Information about audience fit, formats, availability, terms and how an advertising product can be executed and measured can be represented in a form that software agents can interpret.

For publishers, the model offers a standardized way to expose differentiated advertising products without requiring every buyer to build a bespoke integration.

Connecting Agentic Buying to Existing AdTech Infrastructure

AAMP 3.0 is notable because it does not propose rebuilding the programmatic advertising stack around AI. Instead, it extends established standards into an agentic workflow.

That approach follows IAB Tech Lab’s broader 2026 strategy of building agentic capabilities around existing advertising standards rather than creating an entirely separate technology layer. Its AAMP initiative already includes buyer and seller agent reference implementations, while OpenDirect, AdCOM and the Deals API form parts of the underlying transaction framework.

The practical implication for DSPs, SSPs, publishers and agencies is potentially significant: existing programmatic infrastructure can remain in place while agents gain standardized interfaces for earlier stages of the buying process.

AAMP also emphasizes deterministic controls around pricing, orders, identity and transaction integrity. Idempotency is particularly relevant when autonomous systems retry requests: the same instruction should not unintentionally create two orders.

What Enterprise Media Teams Need to Consider

For agencies and advertisers, the attraction is broader opportunity discovery and less manual proposal processing. For publishers, it is the possibility of making complex or specialized ad products easier for buying systems to discover.

But standardization does not eliminate the need for governance. Enterprises adopting agentic media buying will still need rules around authorization, pricing, inventory eligibility, privacy, brand suitability and human approval thresholds.

That makes interoperability as important as automation. IAB Tech Lab’s existing standards already provide a common vocabulary for programmatic inventory, while AAMP extends that vocabulary into interactions between AI-powered systems.

The specification is now entering Public Comment through October 22, 2026, with the OpenProposal work expected to be incorporated into the Buyer and Seller Agent SDK reference implementations.

AAMP 3.0 therefore represents less a replacement for DSPs, SSPs or publisher ad servers than an attempt to make the advertising supply chain more accessible to software agents. If adoption spreads, the RFP itself could become another machine-readable component of programmatic infrastructure—linking media discovery and planning more directly to the transaction standards already used across digital advertising.

Market Landscape

Agentic advertising is moving from isolated experimentation toward standardized infrastructure. IAB Tech Lab has already established buyer and seller agent reference implementations and an Agent Registry, while its broader initiative connects agentic workflows with standards such as OpenDirect, AdCOM and the Deals API.

The timing also reflects the increasing importance of digital and acquisition-focused media. Gartner’s 2026 CMO Spend Survey found that awareness and conversion represented 62.6% of total media spend, based on responses from 401 marketing leaders in North America, the U.K. and Europe.

For the AdTech ecosystem, the emerging question is therefore shifting from whether AI can automate individual media-buying tasks to how agents from different companies can communicate reliably. AAMP 3.0’s OpenProposal specification targets that interoperability problem at the point where media briefs become concrete advertising opportunities.

Top Insights

• AAMP 3.0 introduces OpenProposal, giving buyer and seller agents a standardized way to exchange, compare and evaluate advertising proposals before transactions are committed.
• IAB Tech Lab is extending existing AdTech standards, connecting agentic RFP workflows with AdCOM, OpenDirect and the Deals API rather than replacing established infrastructure.
• Publishers gain an agent-readable product layer, allowing advertising packages, audience information, formats, availability and commercial terms to be represented consistently.
• Agencies and advertisers could evaluate broader media opportunities, while autonomous systems handle proposal discovery and comparison that traditionally required substantial manual planning work.
• Enterprise adoption will depend on governance as well as automation, particularly around agent identity, authorization, pricing, privacy, transaction integrity and human approval controls.

Get in touch with our Adtech experts