The Transforming Antibiotic R&D with Generative AI to stop Emerging Threats (TARGET) project will use AI to speed the discovery and development of new classes of antibiotics. Bacterial infections are a leading cause of death worldwide, and there is an urgent need to develop new antibiotics as the prevalence of antibiotic-resistant bacteria grows.  Conventional efforts to identify and develop new antibiotics require extensive manual screening and testing of molecular compounds, with the majority failing to successfully show antibiotic activity. This laborious process impedes our ability to discover new antibiotics at the speed needed to address the urgent threat of antimicrobial resistance. TARGET aims to close this gap by using deep learning to identify biomolecules with antibiotic and pharmaceutical potential and using generative AI to broaden the pool of candidate molecules. Together, these approaches will speed the development of new classes of previously unknown antibiotics.