Claim
AI-native PMM isn't about using AI tools to augment existing workflows. It's about redesigning workflows and org structure around the new economics AI creates: drafting, summarizing, and automating are now cheap. Top three PMM use cases to fully automate: competitive intelligence, enablement, and product launches — because the apps you create around them get smarter with every campaign. Hiring shifts toward people with taste — those who can look at an output and know if it hits the quality bar.
Mechanism
Augmenting existing workflows preserves the cost structure of the old work. Redesigning around AI economics changes what's worth doing — anything that's now cheap should happen more, anything that's still expensive (judgment, taste, editorial nuance) becomes the bottleneck and the hiring filter. The org chart follows.
Conditions
Holds for PMM functions in AI-native or AI-adjacent companies where leadership is willing to rebuild process. Fails in orgs where PMM is buried under marketing ops and can't change workflows independently.