We’ve all seen the articles about AI writing user stories or summarizing research notes. It’s easy to frame this as simple task automation, but I believe we’re missing the bigger picture. The real disruption isn’t about offloading busy work; it’s about AI becoming a strategic partner in the core ‘art’ of product management: discovery and roadmapping.
Imagine feeding an AI model thousands of support tickets, user reviews, and sales call transcripts, only to have it surface non-obvious pain points and opportunity areas your team has completely overlooked. Or using it to simulate the potential market impact of different roadmap initiatives before you commit a single engineering cycle.
This elevates the PM role from one of manual synthesis to one of strategic inquiry, where our primary job is to ask the right questions and interpret complex, machine-generated insights. It’s less about finding the signals in the noise and more about directing the machine that does. This shift challenges the very definition of our ‘product sense.’ If the machine can find the ‘what,’ our unique value becomes a laser focus on the ‘so what?’.
My question for the community is this: How are you moving beyond using AI for just productivity hacks and starting to integrate it into your core strategic discovery and decision-making process?