Artificial intelligence is reshaping conversations across the advertising industry, with agentic AI emerging as one of the most significant developments.
The potential is clear. AI can help automate workflows, accelerate decision-making, and reduce operational complexity. But in premium video advertising, the challenge isn't simply adding more automation. It's creating an environment where intelligence can operate on the data, workflows and signals that drive real campaign outcomes.
Too much of today’s premium video ad process remains fragmented. Audience creation, planning, activation, and measurement often operate as separate workflows connected by manual handoffs. Valuable insights generated during a campaign frequently remain siloed within individual systems rather than informing future decisions.
A New Model for AI-Enabled Advertising
Rather than treating AI as a series of standalone solutions, OpenAP is focused on building a connected architecture where intelligence can work across the advertising lifecycle. In this model, AI agents interact with tools that can access approved data assets, execute tasks and help users move seamlessly from audience strategy to campaign execution and measurement.
This is a critical distinction from the typical AI hype: the goal shouldn’t be to replace existing workflows, but to create an intelligent action layer that sits on top of them. This would allow buyers and sellers to operate more efficiently while maintaining the controls and protections data owners require.
For buyers, that could mean creating audiences informed by historical viewership and performance data, generating cross-platform planning scenarios, comparing publisher proposals in a standardized format or evaluating campaign performance as outcomes become available.
For publishers, it creates a way to participate in emerging agentic workflows without exposing proprietary audience, inventory or pricing information directly to outside systems.
Investing in Infrastructure
Over the last several years, OpenAP has invested in the foundational capabilities required to support a connected architecture for an agentic future. Our federated clean room network, Open Identity framework and cross-publisher workflows create a trusted environment where data can be analyzed and activated at scale.
As more information flows through that infrastructure, the system becomes more valuable. Campaign performance can inform future audience creation. Measurement insights can improve planning decisions. Outcomes can become inputs for optimization rather than simply reports delivered after a campaign ends.
Looking Ahead
Buyers targeting advanced audiences across linear and streaming require more complete data than legacy planning tools can provide. At the same time, outcome data is becoming increasingly important to advertisers seeking to understand what happened after an exposure occurred. Successful campaigns require tools that expand access to such critical data at all stages of the campaign lifecycle.
Bringing these capabilities into a connected ecosystem creates an opportunity to move beyond isolated workflows and toward continuous learning where planning, activation and measurement reinforce one another.
We believe success won't come from AI alone; it will come from combining intelligence with trusted data, interoperable systems and workflows that enable a more connected future for video advertising.