We’re all talking about shipping AI features, but let’s discuss a more immediate shift: how AI is changing the very fabric of our own PM workflows.
I’m not talking about replacing the core skills of empathy, strategy, and stakeholder management. I’m talking about augmenting them. The rise of AI-powered tools is allowing us to automate the tactical grunt work that consumes our days, freeing us up for higher-leverage activities. Think about it: instantly synthesizing a dozen user interview transcripts to find core themes, generating first-draft user stories from a PRD, or analyzing raw NPS data to pinpoint specific customer pain points in minutes, not hours.
This is the evolution from Product Manager to AI-assisted Product Manager. The value isn’t in letting the machine think for us, but in using it to accelerate our own thinking. It allows us to spend less time on manual data processing and more time actually talking to users, refining the product vision, and aligning our teams.
This shift demands new skills—like prompt engineering and critically evaluating AI output—but the potential to become more strategic and impactful is massive. What are your thoughts?