In this Anthropocene age, the growing conflict between economic growth and sustainability can no longer be neglected, and brainstorming solutions is essential. This chapter discusses artificial intelligence (AI) not just as a technology but as a paradigm shift enabling solutions to multiple challenges by mapping the dual imperatives of resource efficiency and multipurpose modelling for environmental prediction, accelerating circular economies. Via interdisciplinary analysis and design—encompassing ecological economics, case studies, and ethical frameworks—the study illustrates AI’s promise to delink economic growth from environmental degradation, as demonstrated through smart energy grids, precision agriculture, and waste management applications. However, the technology’s ethical risks—energy-intensive infrastructure, algorithmic bias, and inequitable access—highlight the urgent need for green and equitable governance models. Aligning AI with sustainability principles of transparency, equity, and planetary boundaries will empower stakeholders to build AI-driven, sustainable, and inclusive growth. The results support redesigning collaborative frameworks to prioritise Green AI innovations and policy organisation, while advancing for global equity to convert the theoretical potential of Green AI into implementable pathways for a regenerative future.