AI has run through almost every session today: agentic end users, usage-based pricing, AI capability bolted onto legacy platforms. This closing keynote pulls those threads together into one direct question: what does AI actually change for a product-led team working inside procurement, compliance, and legacy constraints, and what's still exactly the same problem it always was. Rather than a highlight reel of the day, the session takes a clear point of view on where AI genuinely changes the PLG playbook for regulated, enterprise-adjacent organizations heading into 2027, and where it's being used as cover to avoid harder, non-AI problems like procurement and pricing. Attendee takeaways: Which of today's AI shifts (agentic users, usage-based pricing, legacy retrofits) actually change how you build versus which are the same old problem with an AI label on it; a point of view on where to invest in AI capability first inside a regulated or enterprise-adjacent organization; and what to walk away from today and put straight onto next year's roadmap.