Researchers at MIT employed generative artificial intelligence to design novel antibiotic compounds effective against multidrug-resistant Neisseria gonorrhoeae and MRSA. Screening millions of AI-generated molecules yielded structurally distinctive candidates with mechanisms disrupting bacterial membranes. This innovative method significantly expands chemical space exploration beyond traditional libraries, heralding a new era in antibiotic development amid rising resistance challenges.