A new era of UX design is emerging with the integration of artificial intelligence and machine learning in products, requiring a distinct approach that considers the unique aspects of probabilistic systems, data quality, and human interaction. To successfully design for AI, one must ask five key questions: How will you ensure good data? How will you adjust your design process to accommodate the variability of AI outputs? How will it work when the ML fails? How will humans fit into the system? And how will you build user trust in the system? By considering these factors and being patient during the launch process, designers can create effective AI-powered products that provide value to users.