I'm hearing different flavors of this question: “With AI doing more of the thinking, do we even need product managers anymore?” It’s the wrong conclusion — drawn from the right observation. Yes, AI is accelerating delivery. Yes, it’s lowering the cost of experimentation. Yes, it’s helping teams generate code, requirements, tests, and even UX. But none of that answers the most important questions: -What problem should we solve? -For which customers? -At what cost? -And why now vs. everything...

When CEOs tell me they have a “product problem,” it frequently traces back to unclear decision-making. Not bad decisions. Just… ambiguous ones. Undefined ones. Slow ones. Competing ones. Here’s what it looks like inside the company: Engineers start work before alignment because decisions arrive halfway through the sprint. Roadmaps get reworked constantly because no one knows who actually owns the final call. Sales and Product escalate the same issue to different execs and get different...

Everyone is talking about AI. Fewer are talking about the opportunity cost of chasing it blindly. A pattern I’m seeing right now: Teams are rebuilding their roadmaps around AI because it feels mandatory — not because it solves a real customer problem. And here’s the uncomfortable truth: Adding AI features does not turn your product into an AI platform. It just means you now have more features to support. What customers actually want? Better workflows. Faster insights. Fewer clicks. Clearer...