Publishers serving ads to AI agents can't prove they worked: no clicks, no standard. Startups like OpenAds (unique referral codes) and Oasy (cost-per-referral via CDN scraping) are racing to build attribution, but most are still proof-of-concept. Measurement remains opaque with no consensus in sight.
IAB released Version 2 of its AI Transparency and Disclosure Framework, drawing the disclosure line around AI that changes authenticity, identity, or what's real, not every use of AI. Realistic synthetic content, digital twins, and human-passing chatbots require labels; routine post-production, copy, and generic voices don't.
Independent agency Butler/Till and iHeartMedia just moved agentic media buying into audio: a four-week, roughly $10K direct buy for an agricultural client, executed by paired AI agents talking over an MCP server. It cut CPMs 42% and pushed 48% of podcast impressions to premium non-skippable mid-rolls, signaling agentic buying is moving from one-off CTV/display tests toward scale.