---
id: ins_talia-moyal-pmm-lovable
title: 'AI-native PMM means redesigning workflows around AI economics — not adding AI to existing ones'
operator: Talia Moyal
operator_role: PMM @ Lovable
source_url: https://lovable.dev/blog/how-modern-marketing-teams-build-on-lovable
source_type: thread
source_title: 'How modern marketing teams build on Lovable — Talia Moyal'
source_date: 2026-04-10
captured_date: 2026-05-04
domain: [pmm, ai-native]
lifecycle: []
maturity: applied
artifact_class: framework
score: { originality: 3, specificity: 3, evidence: 2, transferability: 3, source: 3 }
tier: A
related: []
raw_ref: raw/linkedin/reactions/linkedin-reactions-2026-04-10.md
---

# AI-native PMM means redesigning workflows around AI economics, not adding AI to existing ones

## 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.