It's the assumption baked into almost every AI adoption conversation: that these tools make everyone on the team more capable. And at one level, the data backs it up - 88% of marketers now report using AI in their daily work [AI Marketing Statistics 2026, Adobe], and output across the board is up. But there's a harder question nobody is asking loudly enough: if AI raises the floor for everyone, what happens to the ceiling? This debate puts the optimistic consensus under pressure. Two practitioners with genuinely opposing views go head to head on whether AI is expanding what the best PMMs can do, or whether it's compressing the gap between great and average in ways that will ultimately hurt the profession. What you'll take away: - A clearer sense of where AI genuinely elevates PMM work versus where it creates a false confidence that substitutes for real expertise - The arguments both for and against AI democratisation so you can pressure-test your own assumptions about how you're using it - An honest conversation about what "great PMM" looks like in a world where the baseline keeps rising and what that means for how you invest in your own development