The rapid growth of generative AI is raising environmental concerns due to its substantial resource demands, particularly electricity and water. Training models like OpenAI's GPT-4 requires significant computational power, resulting in increased carbon emissions and pressure on data centers, now one of the largest electricity consumers globally. This energy demand persists as generative AI becomes more prevalent, with each query significantly outpacing traditional web searches in energy consumption. Additionally, cooling data centers involves considerable water usage, impacting ecosystems. High-performance hardware manufacturing further exacerbates these issues. Experts are calling for a holistic assessment of generative AI's societal and environmental costs to foster sustainable development.