Researchers at the Massachusetts Institute of Technology (MIT) have developed a generative artificial intelligence (AI) tool that has designed two novel antibiotic candidates targeting drug-resistant bacteria, specifically gonorrhoea and methicillin-resistant Staphylococcus aureus (MRSA). The AI analyzed a database of 36 million compounds, including many previously uncharacterized molecules, and designed the antibiotics atom by atom. Laboratory and animal tests demonstrated the new drugs' effectiveness in killing these superbugs. This breakthrough represents a promising advancement in combating antimicrobial resistance, a global health threat responsible for an estimated 1.27 million deaths annually. Additionally, a separate University of Pennsylvania study using AI identified over 12,000 potential new antibiotics from archaeal microbes, further expanding the prospects for antibiotic discovery. The MIT research is considered a step forward in the fight against drug-resistant infections, though clinical application in humans remains years away.