The conversation around AI in product management has gone from theoretical to intensely practical. We’re seeing a flood of tools that promise to be our ‘AI co-pilot,’ capable of everything from synthesizing user research and drafting PRDs to analyzing product analytics with a simple prompt.
On one hand, this is incredibly powerful. Imagine offloading the tedious parts of our job to an AI assistant, freeing up precious hours for what truly matters: deep strategic thinking, talking to customers, and aligning stakeholders. In this view, AI doesn’t replace us; it augments us, allowing us to operate at a higher level.
However, there’s a counterargument worth considering. Are we at risk of outsourcing the very tasks that build our intuition and ‘product sense’? The painstaking work of sifting through feedback or structuring a roadmap is often where the deepest insights are found. If we automate this, do we become mere project managers, losing the craft of product discovery?
Many of us are being pushed to adopt these tools to increase efficiency, but we need to be deliberate about how we integrate them.
Are you actively using AI tools in your workflow, and have you found they enhance your strategic impact or distance you from the foundational work?