Today we detail the revolutionary impact of AlphaFold, an AI program developed by DeepMind, on protein folding prediction. We explain how AlphaFold effectively solved the long-standing "protein folding problem" by accurately predicting protein three-dimensional structures from amino acid sequences, matching the precision of experimental methods. We highlight AlphaFold's unique deep learning approach, which surpasses previous computational techniques in accuracy and speed, leading to its open-source release and the creation of a vast protein structure database. This breakthrough has significantly accelerated research in structural biology, drug discovery, and understanding diseases, even earning a Nobel Prize for its creators. Future developments, like AlphaFold 3, aim to predict multi-molecule interactions, further expanding its influence on medicine and our fundamental understanding of life's molecular machinery.