The most interesting use of AI in product right now is not in the product itself, but in how product leaders make decisions. Teams are using AI to synthesise customer research at a scale that was previously impossible, to model the second-order effects of roadmap decisions, to identify patterns in usage data that no analyst would have found, and to stress-test strategic assumptions before they get built into a plan. This panel brings together leaders who have gone furthest down this path and are willing to share what they have actually learned. Panelists will discuss the specific ways they have integrated AI into their strategy and decision-making process, the places where it has made a genuine difference, and the places where they tried it and found it wanting. They will also tackle the harder question of what it does to a product organisation when the tools for analysis and synthesis become dramatically more powerful, what changes about the PM role, what changes about team structure, and what human judgement remains irreplaceable.