Artificial intelligence (AI) has the potential to transform every facet of cardiovascular medicine education practice and research. The exponential rise in technology powered by AI is defining new frontiers in cardiovascular training, with innovative applications that span novel diagnostic modalities, new digital native biomarkers of disease, and high-performing tools evaluating care quality and prognosticating clinical outcomes. These digital innovations promise expanded access to cardiovascular screening and monitoring. Especially for those without access to high-quality, specialized research historically, artificial intelligence electrocardiogram (AI-ECG) can be used to complete early screening and diagnosis of cardiovascular diseases, and digital bionic technology can be used to complete big health data monitoring. Moreover, AI is propelling biological and clinical discoveries that will make future cardiovascular learning more personalized, precise, and effective. The article brings together these diverse AI innovations, highlighting developments in multimodal cardiovascular AI across clinical practice and biomedical discovery, and envisioning this new future backed by contemporary science and emerging discoveries. AI is an inevitable pathway and a critical guarantee for the future of cardiovascular medicine, education, and practice, which will help achieve optimal cardiovascular practice and outcomes for all.