Artificial intelligence and machine learning are becoming indispensable tools in many areas of physics, including astrophysics, particle physics, and climate science. In the arena of quantum materials, the rise of new experimental and computational techniques has increased the volume and the speed with which data are collected, and artificial intelligence is poised to impact the exploration of new materials such as superconductors, spin liquids, and topological insulators. This review by QMC members Ichiro Takeuchi and Johnpierre Paglione outlines how the use of data-driven approaches is changing the landscape of quantum materials research. See more in the Communications Materials online publication.