In recent years, advances in artificial intelligence and data-driven applications in molecular informatics have provided a glimpse into the magnitude of future accomplishments, which have made open data a necessity for machine learning algorithms. Here, we attempt to present some of the major milestones of the past years and discuss obstacles that are yet to be overcome to enable similar AI-driven progress in (nearly) every area of chemistry.