It’s the first recording of 2026, and Stuart Butler and Adam Stoker welcome back Emily Zertuche for round three. After a quick (and rusty) start, they dive into a timely question: as agentic AI accelerates, are DMOs’ fragmented data stacks and inconsistent narratives becoming a credibility risk?

Using a Stu’s News example (L’Oréal’s partnership with NVIDIA), the conversation explores how major brands are embedding AI across operations to personalize experiences, scale content, and deepen first-party data relationships. The discussion quickly turns to destinations: if AI agents can cross-check claims across multiple sources, DMOs may need a far more defensible, coherent “single source of truth” across metrics, messaging, and governance.

Emily introduces the idea of a “Coherence OS” for DMOs—an operating model that aligns tech, metrics, and narrative into one clear, trustworthy story. She outlines practical steps for addressing the industry’s growing data hangover, including auditing zombie metrics, publishing transparent metrics in AI-crawlable formats, moving past vanity metrics, and stress-testing narratives before stakeholders or AI agents do it for you.

Along the way, the group runs a live AI experiment asking different tools the same question (“What’s the best family-friendly beach destination?”), revealing how results—and even categories—change by user and platform. The takeaway: we’re entering an era of “bubbles of truth,” where consistency and credibility matter more than ever.

The episode closes with a candid discussion about trust, governance, and the uncomfortable reality that many boards already know which metrics are “BS.” As AI scrutiny increases, DMOs that rely on smoke, mirrors, or incoherent reporting may find themselves exposed—while those that prioritize clarity, transparency, and causal measurement will be better positioned to lead.

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Key concepts you’ll hear
• Data hangover: over-accumulated data without a unifying narrative
• Zombie metrics: data collected out of habit that no one uses
• Coherence OS: aligning metrics, tech, and story into one defensible narrative
• The Whiskey & Coke test: proof + narrative, separable under scrutiny
• Why AI will find the contradiction—and route around it