The work by Hassabis and Jumper on protein structure prediction together with Baker’s supremacy in de novo protein design set the stage for a future where AI not only deciphers biology at the atomic level but also designs new molecules for biotechnology, medicine, and beyond. I provide an overview of the recent past, the present, and the future of AI in structural biology, from how it all started with the Critical Assessment of Structure Prediction (CASP) experiments and a protein engineering lab, to how the field could further evolve with AI models that eventually “understand” biology holistically.