This paper explores how green innovation systems can be improved with the help of artificial intelligence (AI) to push towards decarbonisation, particularly when it comes to wind-tree-based systems of renewable energy. Based on the Technology-Organisation-Environment (TOE) paradigm, the study elaborates and estimates a structural equation model (SEM) in order to investigate the connections between AI, GIS, and decarbonisation results in Tanzanian universities. The results specify that AI has a strong aptitude to enhance the performance of green innovation systems and is a mediator in the enhancement of the performance of decarbonisation. AI enhances efficient working and sustainable institutional practices by maximising energy consumption and promoting renewable energy sources. This paper offers empirical results in the case of a developing-country setting and illuminates the manner in which AI-based systems can facilitate climate action at the HEI level. Those findings are applicable as practical and policy-relevant information for sustainability in higher education.