Author: Michael Bürgi

Another Media Buying Summit is in the books, having just wrapped last Wednesday in Nashville. And while some terrific speakers took the stage, once again it’s the Town Halls that reveal some of the greatest challenges that the people doing the real work at media agencies face day to day. 

Held under Chatham House rules, which enable free and open conversation under cover of anonymity, the two Town Halls were open to agency personnel only. And while they aired their challenges — from data and attribution issues to clients that don’t listen — today’s briefing focuses solely on the challenges and solutions on integrating AI systems and processes into workflows.

The following are excerpts from the two Town Halls, and have been lightly edited for clarity

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For years, brand safety was a fear business. The pitch was simple: something terrible could appear next to your ad, and without the right protection, your brand would pay the price. It worked, because the threats were legible — a controversial news story, an offensive YouTube video, a brand caught in the wrong conversation.

AI breaks that model. The threat is no longer a discrete piece of bad content that a keyword list or a domain block can catch. Its volume – hundreds of millions of posts a day, a growing share of them generated or manipulated by tools that didn’t exist two years ago, uploaded across every major platform faster than any human review process can follow. The old fear-based playbook assumed a world where bad content was the exception. In an AI-generated content environment, the exception is becoming the norm.

That’s the context for Zefr’s announcement this month that it has become the first third-party vendor to receive MRC accreditation for content-level brand safety – and for why the technical distinction embedded in that credential matters more than it might appear. Most brand safety vendors have long held MRC accreditation, but at the property or domain level: they can tell you a website is generally safe, not whether any given piece of content on it is. Content-level accreditation requires actually understanding what’s in a video or post. In a world drowning in AI output, that difference is everything.

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