As in many other fields, artificial intelligence (AI) is transforming daily activities in cardiology. In pharmacological therapy, algorithms have been developed to prevent adverse reactions, improve therapeutic adherence, and optimize dosage. In the field of coronary intervention, AI has been studied primarily in the anatomical and functional assessment of coronary stenoses and in the characterization of atherosclerotic plaques, but also, for example, in predicting the efficacy of treatment for chronic total occlusions. In structural cardiac intervention, AI applications are currently focused on simplifying procedural planning and standardizing interventions, as well as post-interventional prognostic assessment. The purpose of this review is to explore the current or potential applications of AI in pharmacological and interventional cardiology, highlighting both its potential and its limitations and critical issues that must be addressed.