The rapid growth of generative AI technology poses significant environmental challenges, notably increased electricity consumption and carbon emissions from data centers. Training models like GPT-4 requires immense energy, often sourced from fossil fuels, and cooling these facilities demands substantial water, impacting local ecosystems. As generative AI applications proliferate, their energy needs are expected to rise, prompting experts to call for a comprehensive understanding of the associated environmental costs and benefits.