Researchers at MIT and collaborators have developed generative artificial intelligence methods to design novel antibiotic compounds effective against multidrug-resistant pathogens, including Neisseria gonorrhoeae and methicillin-resistant Staphylococcus aureus (MRSA). Screening over 36 million AI-generated molecules led to candidates with distinct structures and mechanisms, disrupting bacterial cell membranes. This approach heralds a new frontier in antibiotic discovery leveraging AI to explore vast chemical spaces beyond existing libraries.