Besides enforcing FAIR data publication standards today and in the near future, it is important to tackle the damage that has already been done by publishing chemical data almost exclusively in a human-readable form with unstructured text and images in the past decades. The advances in the fields of natural language processing (NLP) and computer vision (CV) have made a new generation of chemical literature mining tools possible. These can be considered AI-driven solutions that enable further AI-driven advances by making concealed data accessible in structured, machine-readable formats.