Everyone’s talking about using AI for efficiency—summarizing user interviews, drafting PRDs, and automating release notes. These are great, but I think we’re focusing on the wrong revolution. This is the “faster horse” conversation.
The real, game-changing question is how AI will fundamentally reshape product discovery.
We’re moving beyond simple automation. AI can now analyze thousands of disparate data points—support tickets, app reviews, community posts, sales call transcripts—and surface latent needs that a handful of user interviews might never uncover. It can help us identify the “unknown unknowns” by spotting patterns in user behavior at a scale we simply couldn’t before.
This requires a new skill set. The PM of tomorrow might be less of an interviewer and more of a “chief-of-staff to the insight engine.” Our core competency will shift toward expert prompting, critically evaluating AI-driven analysis, and synthesizing machine-scale insights with human empathy.
To navigate this, our grounding in strategy and cross-functional alignment becomes non-negotiable. We need to ensure these powerful new insights serve our core objectives. Centralizing our team’s progress and goals with tools like https://leera.io ensures that as we explore these AI-driven frontiers, we’re still building what truly matters for the business and our users.
It’s an exciting, slightly daunting shift from owning the discovery process to curating it.