Some of the biggest gains from AI are in healthcare administration with around $60 billion being spent on 9 everyday tasks, such as eligibility checks, prior authorization, claims management, and payment; and clinicians spent 29% of their time on administrative activities and electronic health record input. A distraction from the mission side of working in patient care, AI/ML applications can improve efficiency in the back office and aid in documentation, filling prescriptions and enhancing fraud detection. Yet, the maturity level of AI to act in full-automation clinically has not yet been achieved. For example, the FDA oversight of clinical decision support assumes a doctor is playing intermediary in the final decision, which is quite different from having AI take direct action. This panel will answer the hard questions about what AI is and what it?s not, and what the future holds as this computational power improves.