The rise of AI is reshaping what it means to be product-led. It’s no longer just about reducing friction in onboarding or optimizing in-product flows—it’s about building systems that learn from every user interaction, adapt in real time, and actively drive growth. In this session, we’ll explore how product teams are shifting from traditional product-led growth (PLG) strategies to AI-led product growth models, where intelligence is embedded directly into the product experience. We’ll break down what it takes to design, build, and scale AI-native products—from foundational data and model decisions to UX patterns that make AI feel intuitive rather than experimental. We’ll also dig into the organizational shift required: how teams evolve roadmaps, redefine success metrics, and align product, engineering, and go-to-market teams around continuously learning systems. Finally, we’ll look at real-world examples of companies using AI not just as a feature—but as a core growth engine. Attendees will leave with a clearer understanding of how to: - Design product experiences where AI is the primary growth lever - Balance automation with user trust and transparency - Build feedback loops that improve both models and user outcomes - Evolve from PLG motions to AI-first product strategy This is a session for product leaders ready to move beyond “AI features” and start building truly intelligent, self-improving products.