While Cloud AI focuses on centralized, service-oriented computation, Edge AI involves distributed, on-device intelligence that powers smart products, enabling real-time action even without internet connectivity. The document highlights that developing for Edge AI presents unique systems engineering challenges, requiring expertise in areas like sensor integration, hardware optimization, and real-time performance. It identifies gaps in current AI tooling and education, emphasizing the need for a developer-first approach through new tools, educational programs, and collaborative open ecosystems to accelerate innovation and unlock the full potential of Edge AI.