AI is changing the product manager role in several ways, but the sources differ on how far and how fast. Lenny Rachitsky argues the PM role isn't going away and will become more important, with strategy and vision most affected by AI5. Marty Cagan says the PM role becomes more essential but also more difficult with generative AI products3.
01What is changing
- Rachitsky expects AI to hit high-level work like strategy, vision, and goal-setting hardest, with PMs shifting toward knowing what data to feed AI and asking the right questions5.
- Cagan and Marily Nika argue most PMs will need to build AI-powered products, just as mobile PM became a baseline skill2.
- Cagan adds that AI products are probabilistic rather than deterministic, which makes them riskier across feasibility, usability, value, and viability2.
02What stays the same
- Rachitsky says soft skills such as influence, communication, product sense, and empathy become ever more valuable, and PMs remain the "glue" or "conductor" tying people and AI together5.
- Cagan warns that faster code or design generation does not automatically produce better product outcomes3.
03Open questions
- Cagan says it's still unclear how generative AI changes product discovery and which PM skills become more or less important3.
Written by PM Atlas from the cited notes only, drawing on Marty Cagan, Lenny Rachitsky. Quotes are short excerpts; read the originals for the full argument.