AI’s potential to reshape scientific discovery

An essay for the Google DeepMind Institute, written with James Manyika, argues that AI could do more than speed up existing research: it could change how discoveries are made. The authors envision LLMs calling specialized models, checking results and repeating the process until a step such as wet-lab testing requires people. A separate commenter argues that such workflows need reproducible evidence and independent checks, so successful predictions are not mistaken for understood mechanisms.