Artificial Intelligence (AI) and sustainability are two sides of same coin. AI is a reliable ally in the fight for sustainability, leading us to a brighter future. AI illuminates renewable energy, resource management, and eco-friendly decision-making by analyzing large datasets. However, the energy usage and carbon footprint of AI models and AI sustainability are increasingly under review. This research paper examines the environmental implications of AI models, focusing on ChatGPT, and emphasizes the necessity for sustainable AI development. Recent studies show that AI model creation and use significantly impact the global carbon footprint due to energy, water, and carbon emissions. With its massive computational needs, ChatGPT contributes to environmental issues. To tackle this dilemma, sustainable AI development must be promoted. Model compression, quantization, and knowledge distillation improve AI energy efficiency. The use of renewable energy and the establishment and enforcement of AI model energy efficiency requirements are equally crucial. ChatGPT and comparable models can be environmentally friendly by using sustainable AI development methods. In this line, the objective of the present study is to analyze the impact of the use of AI tools, specifically ChatGPT, on sustainability and environmental protection by analyzing existing reports and studies on the environmental impact of artificial intelligence models.


Academicians, developers, politicians, institutions and organizations must work together to create rules and frameworks for energy-efficient AI algorithms, renewable energy use, and responsible deployment. This study article concludes that AI models’ energy usage and carbon footprint must be understood and reduced. By promoting sustainable practices, the AI community may encourage a more environmentally sensitive and responsible approach to AI development, leading to a greener future that meets global sustainability goals.