In order to contribute to the discourse in the theoretical and practical domains, the current study examines the noteworthy confluence of artificial general intelligence (AGI) and sustainable technologies. This research investigates the development of artificial general intelligence (AGI) and sustainable technologies, as well as the intersection of these two domains, through a thorough evaluation of pertinent academic literature. This study explores a variety of theoretical frameworks, including ethical considerations, techno-optimistic viewpoints, and eco-centric perspectives. This study includes empirical information from case studies, such as using IBM Watson to optimize energy grids, by utilizing secondary data. After that, these instances are contrasted in order to evaluate the viability and efficacy of various applications, including artificial general intelligence (AGI). Furthermore, the research addresses the practical and ethical problems that result from the coupling of artificial general intelligence (AGI) with sustainability, while also offering workable policy solutions. However, there are a number of limitations to this research, including the reliance on secondary data sources, the intricacies stemming from its multidisciplinary approach, and the potential for cultural and regional prejudices. Prospective research avenues suggest that primary data collection should be undertaken, interdisciplinary collaboration should be encouraged, and studies covering different geographic and cultural perspectives should be carried out. For scholars, practitioners, and legislators interested in investigating the synergistic relationship between artificial general intelligence (AGI) and sustainable technology, this study is a foundational piece of work.