The Environmental Impact of AI: A Case Study of Water Consumption by Chat GPT


  • A. Shaji George Masters IT Solutions, Chennai, Tamil Nadu, India
  • A. S. Hovan George Student, Tbilisi State Medical University, Tbilisi, Georgia
  • A. S. Gabrio Martin Masters IT Solutions, Chennai, Tamil Nadu, India



Water footprint, Artificial intelligence, Data centers, Energy efficiency, Cooling systems, Sustainability, Environmental impact, Resource management


As AI is becoming more a part of our lives, people are starting to worry about the negative consequences it might have on the environment. One of the major issues is its high water consumption. The water[21] consumption of AI models, including Chat GPT, is a major concern and must be managed effectively to reduce environmental harm. This document examines the amount[15] of water that is utilized by Chat GPT and other AI models and investigates the impact that it may have on the environment, as well as possible solutions to control their water usage. The study further considers the plausibility and usefulness of these approaches. The findings imply that although water usage of AI systems is significantly lower compared to other industries, it is still a matter of concern. AI models can have a significant water footprint, but this can be reduced by taking certain measures such as improving energy efficiency, utilizing renewable energy sources, optimizing algorithms and implementing strategies to conserve water. Despite the potential of these solutions, there are still issues to be addressed, such as the expense associated with implementation, and further research is required for optimum utilization. In conclusion, this document emphasizes the relevance of recognizing the water footprint caused by AI models, giving important details regarding potential solutions to minimize their environmental impact.




How to Cite

A. Shaji George, A. S. Hovan George, & A. S. Gabrio Martin. (2023). The Environmental Impact of AI: A Case Study of Water Consumption by Chat GPT. Partners Universal International Innovation Journal, 1(2), 97–104.