We’re all seeing the flood of AI features, but let’s talk about the tectonic shift happening underneath our feet. For years, we’ve honed our craft around user flows, pixel-perfect UIs, and intuitive interactions. But with AI-native products, the game is changing. The ‘user experience’ is no longer just the interface; it’s the quality, relevance, and reliability of the model’s output.
Suddenly, our backlogs are less about button placement and more about model accuracy, fine-tuning, and data pipelines. Conversations with engineering are shifting from API latency to prompt engineering and mitigating AI hallucinations. We’re moving from being the masters of the user journey map to being students of the machine learning lifecycle. This isn’t just adding a new tool to our belt; it feels like a fundamental evolution of the product manager’s core responsibilities. Those who fail to build literacy in how AI models are trained, evaluated, and deployed risk becoming architects of beautiful, empty shells.
So, how are you adapting your skillset for this new reality, and what do you believe is the single most critical new competency for a PM to develop today?