Generative AI is transforming UX design by shifting the focus from individual interface elements to the overall behavior of systems, requiring designers to understand AI's fundamental workings, such as data processing and concepts like statistical mechanics, to effectively influence AI inputs and outputs. This shift necessitates a move from traditional design approaches, which concentrate on predictable user flows and static content, to a focus on shaping the emergent behavior of complex AI systems, emphasizing the importance of human-centered design to ensure that AI tools are genuinely helpful and ethical. Designers must engage more deeply with AI mechanics to steer technology toward beneficial outcomes, addressing challenges like transparency, user expectations, and ethical considerations. As the role of UX evolves, designers will need to adapt their methods and deliverables to include new tools and frameworks, working collaboratively with engineers, researchers, and ethicists to keep the human experience at the forefront of AI development.