Artificial intelligence (AI)Artificial Intelligence (AI) is revolutionizing sustainable biopolymer development by expediting material discovery, optimizing production processes, and improving material performance. Through advanced machine learning (ML)Machine Learning (ML) techniques, researchers can analyze vast chemical datasets to design biodegradable polymers with tailored properties. AI-driven approaches have facilitated the identification of innovative materials, such as chitosan-based composites, with enhanced mechanical and antibacterial characteristics. Additionally, the use of AI facilitates the automation of biopolymer production processes, including the evaluation of mechanical properties and programmable material synthesis reducing reliance on petrochemical-based resources. These advancements not only contribute to scalable manufacturing but also to the development ofEco-friendly materials eco-friendly alternatives to conventional plastics, offering improved functional performance. Moreover, the integration of AI in sustainability drives innovations in biochemical production, energy efficiency and environmental remediation. Despite challenges such as dataset standardization and model refinement, AI holds immense potential to accelerate the adoption of high-performance biodegradable polymers, addressing global environmental concerns and advancing materials science. This chapter provides a comprehensive review of the current advances in AI applications for sustainable biopolymer production, highlighting key achievements, challenges, and prospects. By addressing global environmental concerns and propelling the field of material science for several applications, AI holds promise as a powerful tool for the widespread adoption of high-performance biodegradable polymers.