Everywhere you look, it’s ‘AI for PMs.’ The pressure is on to integrate AI into our workflows, but let’s be honest: a lot of what’s out there feels more ‘AI-adjacent’ than truly transformative. Using AI to summarize meeting notes or rephrase a user story is a minor efficiency gain, not a strategic advantage.
The real revolution isn’t about automating small, isolated tasks. It’s about breaking down data silos to achieve a holistic understanding of our product ecosystem. Imagine asking a single source: ‘What are the top 3 user complaints from our latest feature launch that correlate with a drop in engagement, and what is the engineering team’s current capacity to address them?’ This requires connecting insights from user feedback channels, analytics platforms, and project management tools.
This is the shift from task automation to insight synthesis. Instead of just making our existing processes slightly faster, we should be aiming to answer complex, cross-functional questions instantly. Tools that help unify this scattered information are the key to unlocking the next level of product strategy. At https://leera.io, we believe the future is about creating a single source of truth from disparate data, allowing PMs to move from data gatherers to strategic decision-makers.
So, where have you found true leverage with AI in your PM practice—are you seeing real strategic insights, or is it mostly just marginal productivity gains?