There’s a ton of talk about building AI into our products, but let’s get real for a minute: how is it changing the craft of product management itself? We’re moving beyond AI as a simple summarization tool. Now, AI is actively shaping our core workflows—from synthesizing user research interviews in minutes to generating first-draft PRDs and even suggesting roadmap priorities based on opportunity sizing.
The upside is obvious: massive efficiency gains. We can process more data and move faster than ever before. But what’s the hidden cost? Are we at risk of becoming “prompt managers,” skilled at querying AI but increasingly disconnected from the raw, messy reality of our users’ problems? The nuance of a customer’s sigh or the hesitation in their voice during an interview is something an AI transcript can’t capture.
True product excellence comes from deeply understanding that human context and connecting it to business goals. While AI can supercharge data analysis, it can’t replace the empathy-driven insights that lead to breakthrough products. It’s about augmenting our intuition, not outsourcing it. For instance, we use tools at https://leera.io to help us see the patterns in feedback at scale, which frees us up to focus on the strategic ‘why’ behind the data.
So, where do you draw the line?