Organizations worldwide are grappling with a dual challenge: “Hunger”: employees are simultaneously feeling an urgent need to understand Artificial Intelligence and how to adopt it; And “Fear”: people also increasingly fear being displaced by Artificial Intelligence. The traditional corporate Data and Analytics training programs, when targeting entire organizations, have struggled with low participation rates, poor content relevance, and limited scalability. This paper presents a practitioner-driven case study from a large international manufacturing organization (10,000+ employees) that addresses this challenge by leveraging Artificial Intelligence itself as the medium for delivering Artificial Intelligence literacy. Our solution combines two complementary Artificial Intelligence-powered mechanisms: a suite of Artificial Intelligence-driven learning games and a personalized learning path navigator. Drawing on early pilot results, related work in Artificial Intelligence literacy frameworks, and organizational learning theory, we argue that this self-referential knowledge transferring approach – democratizing Artificial Intelligence via Artificial Intelligence – offers a scalable, contextually relevant, and engagement-sustaining model for organizational Artificial Intelligence literacy. We discuss outcomes, limitations, and a roadmap for evolving the solution toward a lifelong learning ecosystem.