Google DeepMind’s John Jumper, a Nobel laureate instrumental in the development of AlphaFold, envisions a transformative future for science driven by artificial intelligence. Celebrating five years since its groundbreaking debut, AlphaFold, an AI system capable of predicting protein structures with unparalleled precision, has already reshaped the landscape of biological research. Its impact extends to understanding disease mechanisms and accelerating drug discovery. Jumper highlights AlphaFold’s diverse applications, ranging from honeybee studies to the design of novel synthetic proteins. DeepMind continues to innovate, developing tools like Boltz-2 and Pearl that leverage AlphaFold’s capabilities to refine drug development processes. Looking ahead, Jumper anticipates merging AlphaFold’s structural prediction prowess with the reasoning capabilities of large language models. This fusion aims to unlock new levels of scientific understanding by enabling AI to analyze and interpret vast quantities of scientific data, paving the way for future breakthroughs.