The Role of Artificial Intelligence in Advancing Green Management through Digital Transformation

Abstract

As global environmental sustainability gains momentum as an imperative, Artificial Intelligence (AI) has become a robust driver of green digital transformation. This article recognizes the necessity of AI-driven solutions in solving the world's most severe environmental issues, including increasing carbon emissions, energy inefficiencies, and resource over extraction. With a combination of actual case studies, data, and forecasting models, the article outlines the manner in which AI improves the energy consumption efficiency, lowers emissions, and enables smart resource management. It goes on to define empirical case studies, industrial adoption patterns, and new regulatory discourse. It suggests a Green AI Value Framework for combining the technical, operational, and ethical factors in AI into green management. It not only fills gaps in current quantitative impact analysis but also defines crucial means of scaling sustainable innovation with the help of AI in both developed and developing worlds. There is an Emerging Issues chapter that includes Emerging Technologies. Environmental cost challenge of AI and failures in governance are also mentioned. A green AI deployment approach is suggested as a means to assist policymakers, business, and academia in aligning environmental goals with digital innovation. This paper takes into consideration the role of AI towards environmental sustainability through digital transformation.