Assess product manager AI maturity and prioritize AI initiatives for an "Augmented Product Manager" at La Centrale

Many product teams are still in an early, largely ad-hoc phase of AI adoption. Individual PMs may rely on generic chatbots for occasional tasks, but this often remains fragmented and limited in impact. At La Centrale, we took a step back to consider whether meaningful change requires more than simply providing access to AI tools, and whether it calls for a deeper evolution of the Product Management operating model.It’s easy to fall into what we call the “chatbot trap”: using AI mainly for isolated, low-value activities such as summarization, without a shared vision or clear strategy. This raised a simple but important question for us: how can we move from merely using AI to thoughtfully augmenting the Product Management operating system?In this session, we will share our initial attempts to assess how our teams work today and where AI can realistically support them. We will introduce a set of “AI superpowers” mapped to the product management journey, with the aim of shifting the focus from basic text generation toward more meaningful support.We will also present the prioritization framework we are experimenting with at La Centrale, designed not to chase every new tool, but to focus attention on the use cases where AI can generate meaningful impact.Finally, we will reflect on an emerging idea around the “Builder PM,” and consider how Product Managers might be better supported in prototyping and engaging more directly with technical execution.