AI data centers play a crucial role in modern technology by providing the necessary infrastructure for compute, storage, and networking, but they also pose significant environmental challenges due to their high energy and water consumption. These centers have evolved to accommodate AI workloads, shifting from CPU-centric designs to those that leverage GPUs and other AI accelerators, which are more energy-intensive. The global proliferation of data centers, particularly in the United States, has led to increased energy demands, often sourced from fossil fuels, resulting in significant carbon emissions. Additionally, water usage is a concern, as data centers require large amounts of water for cooling and chip manufacturing, putting pressure on local water resources. Efforts to mitigate these impacts include exploring renewable energy sources, nuclear power options, and innovative cooling technologies, but these solutions are not yet widely implemented. As AI continues to grow, there is a pressing need for greater transparency and proactive environmental strategies in the data center industry.