Agentic AI is changing what contextual advertising can actually understand — and that shift could help fix some of programmatic’s biggest failures.
In this episode of AI: Machine-Made Marketing, Thomas Ives of RAAS Lab (Relevant Advertising at Scale) explains how AI-driven contextual intelligence is moving beyond keyword traps and brand-safety false positives to interpret content with human-like nuance — unlocking higher-quality placements, better timing, and stronger relevance in the moments that matter most.
