Researchers at MIT have harnessed generative AI to design new antibiotic molecules effective against drug-resistant bacteria such as Neisseria gonorrhoeae and MRSA. The approach involved generating over 36 million compounds computationally, screening them for antimicrobial activity, and identifying structurally novel candidates that disrupt bacterial membranes via mechanisms distinct from existing drugs. This advancement signals a major step toward developing antibiotics in the face of rising resistance, leveraging AI's ability to explore vast chemical spaces rapidly.