A slightly different email this week.
For the past many months I’ve thought about pretty much nothing but AI and what it means for product work. 🫠
It has become a playbook. I wrote it for you, for people who already work seriously with product and can feel that something is shifting.
It gives you a language for the shift that’s underway. A foundation to think from when your leadership asks for an “AI strategy”.
Arguments you can use when a colleague wants to hire an “AI Product Manager”. And a model that helps you see where your own organization is getting it wrong right now.
Among other things, it takes on:
👉🏻 Why “AI Product Manager” isn’t the answer. Writing AI in front of the job titles solves nothing.
👉🏻 Why AI makes bad ideas worse, not better. The build trap gets harder.
👉🏻 Why it’s not an A-team and a B-team.
👉🏻 How the bottleneck moves from “can we build it?” to “can we decide it?” And what that demands of you as a product leader.
👉🏻 Which product skills become commodity, and which are suddenly worth gold.
You’re getting it in your inbox before I share it more broadly. You’re one of the people reading AI for Product Leaders, and you’re the sharpest product people in my network. 🙏🏻
👉🏻 See the AI in Product Management playbook
If you feel like it, comment directly in the playbook while you read. Highlight a sentence and write what you’re thinking. (thanks to Claude Code)
It could be where I miss the mark, where I’m too naive, or where a point hit you particularly hard.
Best, Martin