This chapter introduces the fundamental transition occurring in human–AI communication as we move beyond traditional prompt engineering toward more fluid, contextual, and collaborative interaction paradigms. It examines the importance of effectiveness in AI communication, tracing the evolution of prompt engineering from its experimental origins to its current professional integration, while highlighting its inherent limitations. The chapter maps emerging communication modes that blur boundaries between instruction and collaboration, incorporating multimodal interfaces and agent-based interactions. It proposes new evaluative metrics that shift focus from output quality to relationship quality, emphasising dimensions such as mutual understanding and communicative alignment. Through a framework of predictive thinking, the chapter outlines a vision of AI communication not as a fixed destination but as an evolving horizon shaped by our expectations and experiments, setting the foundation for exploring future communication paradigms throughout the book.