Ten years ago, PMMs were writing MPFs and MSDs in Word documents and emailing them to each other for review. Today, those same documents exist as Markdown files fed into AI instances that can stress-test messaging, generate content variations, and push competitive alerts while you sleep.

Same discipline. Completely different world.

Understanding what has changed, and what hasn’t, is the foundation for operating well as a modern PMM. Get this wrong in either direction (ignoring AI entirely, or handing too much to it) and you’ll underperform.

The Five Things That Have Changed

Markdown is now a job skill. If you’re not writing in Markdown and structuring information for AI consumption, you’re leaving significant productivity on the table. The vocabulary of the job has expanded.

The blank page problem is largely solved. AI generates first drafts in seconds. They’re never perfect, but editing is always faster than creating from nothing. The PMM’s job has shifted from “generate” to “direct, review, and refine.”

Agentic workflows are real. Competitive monitoring, persona stress-testing, content transformation … these no longer require manual time blocks. They run continuously. PMM has shifted from orchestrator of people to orchestrator of people and agents.

Research that took days now takes minutes. Win/loss synthesis, ICP persona drafts from raw transcripts, competitive landscape sweeps. A well-structured AI workflow compresses this work dramatically. The PMM who learns to brief AI well becomes a one-person research operation.

One asset now produces many outputs. A single piece of long-form content becomes a blog post, a LinkedIn series, a sales email, a battlecard, and a demo script. Content leverage has become a standard expectation, not a nice-to-have.

The Five Things That Haven’t

The story is still everything. AI can generate content at scale. It cannot craft a narrative that makes someone feel something. The “why now, why us, why you” … that’s still human work.

The stage hasn’t changed. Standing in front of a customer, a board, a sales kickoff, still requires a live human who can read the room and make people believe something. No agent does this for you.

Stakeholder navigation is still entirely human. The politics, the competing priorities, the art of getting Product, Sales, and Marketing to agree on one narrative. This is high EQ, lived experience, and relationship trust. Can’t be prompted.

Real-world context lives in humans. AI knows what’s on the internet. It doesn’t know what your biggest customer said candidly after the QBR. That context is yours. Protect it and use it.

The final sign-off is always human. The PMM remains the last line of defense, the person who looks at the output and judges whether it’s true, resonant, and right. That judgment cannot be delegated.

The PMMs who will thrive in the next decade are the ones who figure out exactly where each belongs: AI for the 80, humans for the 20 that actually matters.

Full post: PMM Then vs Now →


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