Around the globe, medical systems are beset by the soaring numbers and helter-skelter finances of chronic diseases like diabetes, heart ailments, and long-term respiratory conditions. The World Health Organization has forecast that by the year 2020, fully 70 percent of all deaths will stem from such chronic diseases. Meanwhile, corporations, looking forward to big profits, are banking on a health data bonanza. In such scenario’s, authors examine AI-driven predictive analytics and what they might do for the financial health of today's political system and for reducing the death toll from chronic illness in the future. Operational efficiency in medical practices benefits from the analytical power of artificial intelligence. Precision medicine, the next stage of evolution beyond evidence-based medicine, derives its very name from AI’s main strength; analyzing vast amounts of data to find patterns. AI does not do the ordering; it is supplanted by something more human. That said, it is not equally good at all tasks, nor is it good for all patients; indeed, it may even be bad for some. AI in medicine is quite a powerful tool, and how it will be used—ethically, equitably, and effectively—remains a bit of a mystery. Ensuring that these problems do not exist is vital to enabling AI to reach its full potential in healthcare. This chapter looks at the value AI can provide in predictive analytics to help manage chronic diseases. Of course, with every great tool comes great responsibility, and the authors will look at some of the great benefits of using AI in this way, as well as some potential risks.