Functional Analysis in artificial intelligence involves the study of infinite-dimensional vector spaces and linear operators, providing foundational insights into the mathematical structures underlying deep learning models. It helps analyze the behavior of neural networks, optimization processes, and function approximation, enabling a rigorous understanding of model stability, convergence, and capacity in complex high-dimensional settings.