Drug discovery has traditionally taken over a decade and billions of dollars to bring a single therapy to market. Artificial intelligence is compressing that timeline -helping researchers identify promising compounds faster, predict how molecules will behave before costly lab trials, and flag safety risks earlier in the process. This article breaks down where AI is already delivering results in pharma R&D, and where the technology still has real limitations.