Considerations from both the Landscape and the Swampland suggest that 1) consistent quantum theories of gravity are rare in the space of all possible theories; 2) the number of consistent string vacua is enormous but finite. In light of these properties of quantum gravity, exhaustive searches for realistic vacua would not be feasible
while random sampling would not be representative of the Landscape. In this talk, I will discuss how AI can be used to search for optimal solutions in string theory, to enumerate the exact number of solutions in regions of the Landscape and to discover structures therein, and to generate new Calabi-Yau compactifications.