The use of artificial intelligence in waste bioprocessing to generate energy addresses one of the most pressing worldwide concerns in waste management and renewable energy source creation. This chapter provides a detailed examination of the application of artificial intelligence to optimize and improve bioprocessing technology. It begins with the definitions of bioprocessing and artificial intelligence, and how these two concepts are linked to improve the effectiveness and realization of waste-to-energy aims. The chapter goes into detail about process optimization, dynamic monitoring, waste identification, and sophisticated bacterial management using artificial intelligence. Real-world examples demonstrate how various artificial intelligence models now available alter bioreactor properties, forecast the need for maintenance, and aid in the development of improved bioprocessing organisms. Furthermore, the chapter addresses data-driven issues, ethical considerations, and artificial intelligence interaction with the traditional approach to bioprocessing. It also recommends a future research avenue that addresses how improving interdisciplinary research will help the discipline advance in the future.