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Hope Frank | Global Chief Marketing & AI Officer

Global Chief Marketing & AI Officer

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Scaling Agentic AI

Hope Frank, Chief Marketing & AI Officer, Gathid

The CMO's Guide To Scaling Agentic AI Across The Enterprise

The enterprise landscape is undergoing a structural shift. AI agents—autonomous systems capable of executing complex, multistep workflows—are moving from experimental pilots to production-ready deployments. For CMOs, the question is no longer whether AI will reshape marketing operations; it’s how to scale agentic AI in a way that drives measurable business value while protecting brand, budget and governance.​

The business case is compelling. According to a 2025 Google Cloud report, 74% of surveyed executives achieved ROI within the first year of deploying AI agents, and many of these executives saw productivity gains of double or more. The Oliver Wyman Forum estimated that generative AI (GenAI) could add $20 trillion in global economic value and save 300 billion work hours a year, while Goldman Sachs estimated that AI could lift U.S. labor productivity by 15% if adopted at scale.​

For marketing leaders under pressure to do more with less, these figures signal a structural opportunity.​

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