PLG was never a single thing. Different panellists in this closing session have built product-led businesses in different markets, at different stages, with different definitions of what growth-led-by-product actually means in practice. That diversity is deliberate. The most useful conversation about where PLG goes next is not one where everyone agrees on a direction, it is one where practitioners with real, conflicting experience work through the hard questions together in front of a room that has spent two days living those same questions. The panel will cover the forces that are already reshaping how product-led businesses grow: the changing economics of self-serve, what AI means for the product-user relationship, the rising expectations of buyers trained by consumer software, and whether the organisational models that made PLG work in the 2010s are still fit for purpose. This is the final session of the summit, and it is designed to send you home not with a clean answer but with a sharper set of questions to bring back to your team.

AI can summarize research, generate roadmap updates, analyze feedback, and support prioritization, but it cannot fix weak product signals. If customer insights are fragmented, priorities are unclear, outcomes are poorly defined, dependencies are hidden, or decision rights are fuzzy, AI may simply create faster, more polished noise. The result is not better product leadership. It is automation applied to confusion. In this session, Mark Moskovitz explores how product leaders and product operations teams can strengthen the signals AI will consume and amplify. Using the Sorcerer’s Apprentice as a memorable metaphor, the talk shows why organizations need clearer inputs, stronger decision systems, and better learning loops before scaling AI into product planning, reporting, research synthesis, and executive decision support. Attendees will leave with the AI Signal Readiness Diagnostic, a practical framework for assessing whether their product organization is ready to benefit from AI.