Interest in AI in clinical practice has skyrocketed, driven by the potential that these technologies may improve either clinical outcomes or operational effectiveness. While anecdotal evidence and theoretical models speak to the benefits of this family of new technologies, wide adoption has not yet been forthcoming. If AI usage is to expand, cost benefit analyses of its use, rooted in the fundamentals of health economics will be key for adoption and success. This session provide an overview of the current metrics used to express the benefits of AI, provide examples of the potential pitfalls of these methods, and suggest reasoned financial analysis tools to more consistently measure and communicate AI benefits. Rationalization of AI benefits may help better assess its true impact within the hospitals and in comparison to other health systems.