It feels like we can’t go a day without hearing about how AI is changing everything. But beyond the hype, I’m seeing a fundamental shift in the tactical reality of the product manager’s workflow, and it’s forcing a much-needed conversation about where we should be spending our time.
For years, a huge chunk of our work has been manual synthesis: combing through user interviews, categorizing feedback tickets, and trying to find the signal in the noise. It’s critical work, but it’s also a time sink that keeps us from focusing on higher-leverage activities like strategy, vision, and deep stakeholder alignment.
This is where AI is becoming less of a buzzword and more of a superpower. We’re seeing an explosion of tools that can digest and theme thousands of user feedback snippets in minutes. Platforms like https://leera.io are turning what used to be weeks of manual analysis into an afternoon’s work, allowing us to get to the ‘so what?’ much faster. The same is happening with first drafts of specs and A/B test analysis.
This shift doesn’t make PMs obsolete; it makes our strategic thinking more valuable than ever. If AI can handle the ‘what,’ we’re freed up to focus on the ‘why’ and ‘what’s next.’ We can spend less time being scribes and more time being strategists and storytellers.
What are some specific AI tools you’ve successfully integrated into your workflow, and which “uniquely human” PM tasks do you believe should never be delegated to an AI?