AI agents and trusted data drive future of advertising

The digital advertising industry is navigating a shift toward agentic transactions, where AI agents handle various roles such as buying, selling, and audience measurement. This evolution relies on protocols like the Model Context Protocol (MCP) to facilitate communication between different specialized agents within the advertising ecosystem.

Industry experts emphasize that the success of AI-driven advertising depends on the foundation of trusted data. For AI agents to make effective decisions regarding media allocation and creative serving, they require reliable measurement, optimization signals, and outcomes. Without accurate audience measurement and consistent data across platforms, automation risks accelerating poor decision-making rather than improving campaign performance.