The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has profoundly transformed the Visual Effects (VFX) industry, redefining traditional workflows and enabling the creation of hyperrealistic digital content with unprecedented efficiency. This thesis investigates the integration of AI-driven methodologies into the crowd generation process within VFX, focusing on a full-CG stadium crowd as a case study. Conducted in collaboration with EDI – Effetti Digitali Italiani, this research addresses key challenges in digital crowd animation and proposes an innovative AI-enhanced pipeline designed to optimize both realism and production efficiency. The study begins with a comprehensive review of state of the art AI applications in VFX, with a particular emphasis on 3D asset generation and animation.