In Part One I introduced the Agentic AI Asymmetry Dilemma: the structural gap between agencies building proprietary AI and publishers optimising for systems they can’t see. Two-thirds of advertisers are now focused on agentic AI for ad buying, and token volumes, the raw measure of AI workload, are growing fourteen times annually, driven almost entirely by agentic use cases (IAB 2026 Outlook Study; Exponential View). The industry isn’t just building AI without shared governance. The Agentic AI Asymmetry Dilemma is forming right now, and we’re early enough to choose a different architecture. Agentic AI can become a trusted repository that supports better decisions and fairer markets across the ecosystem.