The launch of the Ads Context Protocol (AdCP) has once again placed at the center of the debate a question that the advertising industry has been grappling with for years: how to evolve toward more automated and efficient models without compromising transparency, control, or the balance between actors.
Initially presented as a necessary technical advancement for the arrival of agentic advertising based on artificial intelligence, AdCP sparked immediate enthusiasm. However, once the initial phase of optimistic announcements and headlines passed, the sector began to analyze more calmly what this protocol actually entails and the tensions it brings to the table.
What is the Ads Context Protocol (AdCP)?
The Ads Context Protocol, or AdCP, is an open protocol designed to allow AI agents to connect directly with existing advertising infrastructure. This includes demand-side platforms (DSPs), ad servers, direct deals, and programmatic guaranteed models.
Its purpose is to establish a common language that allows these agents to discover inventory, negotiate terms, and execute campaigns without relying on closed interfaces or manual flows. In this sense, many describe it as a natural evolution of historical digital advertising standards, now adapted to an environment dominated by automation and artificial intelligence.
Rather than replacing current systems, AdCP seeks to reduce rigidity, eliminate operational friction, and facilitate new forms of interaction between media buyers and sellers.
The Promise of Agentic Advertising
The idea of agentic advertising is not entirely new, but AdCP represents one of the first serious attempts to provide it with a common technical foundation. Its proponents argue that this approach can bring clear structural improvements to the market:
- Reduced complexity in direct purchases
- Real scalability for customized deals
- Greater visibility of premium inventory
- Automation of tasks that currently consume resources without adding strategic value
The key change is not in the tools, but in the infrastructure. Agentic advertising proposes a model in which agents act as intelligent intermediaries, capable of operating on existing systems without imposing new proprietary layers.
Governance and Coordination: The Role of the AAO
To prevent this evolution from leading to fragmentation or incompatible solutions, the Agentic Advertising Organization (AAO) was created. This non-profit entity aims to oversee the development of AdCP and other standards related to agentic advertising.
The AAO brings together actors from across the ecosystem—agencies, brands, publishers, and technology providers—through committees, working groups, and sectoral councils. Its mission is to ensure that new protocols evolve in an open, interoperable manner with clear governance.
The creation of this organization reflects a shared concern in the industry: without coordination, the proliferation of standards can generate more problems than it solves.
Initial Tests: From Concept to Practice
Although still in an early stage, several companies are already testing AdCP in real environments, as shown by the first tests carried out by actors such as MiQ, who are already exploring its practical application. These tests do not seek to replace traditional programmatic commerce, but to explore opportunities that until now were too complex from an operational standpoint.
Among the most common use cases are:
- Automated direct purchases between agents and publishers
- Optimization of programmatic guaranteed deals
- Access to richer contextual datasets
- Increased share of visibility in high-value audiences
In many cases, the goal is not to reduce costs, but to make operations viable that previously did not pay off due to technical or human complexity.
Transparency: The Main Point of Friction
Beyond technology, the most delicate debate revolves around transparency. Advertising purchases mediated by AI agents raise uncomfortable questions that the sector has not yet fully resolved:
- How are automated decisions audited?
- Who is responsible when a campaign does not meet expectations?
- What level of visibility do advertisers and publishers have into the agent's internal processes?
There is a risk that automation could lead to ‘set and forget’ models, where operational efficiency is gained, but strategic control and trust are lost.
Fragmentation and Standards: A Familiar Lesson
Another recurring fear is the fragmentation of the ecosystem. The advertising industry has already experienced similar cycles where multiple standards competed with each other, increasing costs and hindering adoption.
For this reason, several industry players insist that the path forward is not about reinventing the language of digital advertising, but about extending existing standards—such as OpenRTB or OpenDirect—with new layers adapted to agentic advertising.
Interoperability and collaboration between organizations will be key to avoiding repeating past mistakes.
Conclusion
The debate surrounding agentic advertising and open standards reflects a structural tension in the advertising industry: moving toward more efficient models without sacrificing transparency, control, and trust.
The Ads Context Protocol proposes a technical foundation for that future, but its success will depend less on the protocol itself and more on how the sector manages governance, interoperability, and actual adoption by advertisers and publishers.
Rather than an immediate revolution, we are facing an evolution that will set the pace for digital advertising in the coming years.
