The author explores the psychological factors influencing the adoption of conversational design, particularly the dichotomy of user love and hate for chatbots. Product designers should be psychology enthusiasts, as understanding human behavior informs design decisions. Initial willingness to try AI experiences stems from novelty, curiosity, social influence, perceived usefulness, efficiency, and enhanced capabilities. Social influence, where observing others adopt AI encourages exploration, plays a significant role. Efficiency and automation are key promises of AI, but also sources of fear. Enhanced capabilities and improved experiences, like AI-powered search and summarization, are becoming commonplace. Surviving conversational experiences will either address latent needs, solve existing problems, or fade away as novelty wears off. Acceptance, distinct from willingness, describes sustained use and satisfaction over time. Perceived usefulness, ease of use, positive attitudes, trust, and social influence are crucial for acceptance. Models like TAM and UCDA help assess AI acceptance, highlighting the interconnectedness of these psychological factors. Trust is paramount, with a negative past experience with chatbots leading to immediate distrust. Users often initiate conversations with single words due to cognitive load and the iterative nature of search.