AI is revolutionising pharmaceutical development by rapidly analysing vast datasets to identify potential drug candidates and predict their effectiveness, significantly reducing the time and cost of drug discovery. AI-driven simulations and models enable researchers to optimise clinical trial designs and personalise treatments, accelerating the path from lab to market but as Associate Professor MU YUGUANG explains, without fully understanding how AI functions, we should be cautious about moving too fast.