Korean Expat Community for National Disasters

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Artificial intelligence is one of the fastest-growing technologies in the world. Every day, millions of people use AI tools to search for information, generate images, write documents, and solve problems. While most discussions focus on what AI can do, fewer people think about the environmental cost behind these services.

Advanced AI systems require enormous data centers filled with powerful computers. These facilities operate 24 hours a day and consume large amounts of electricity for both computing and cooling. According to the International Energy Agency (IEA), data centers used about 415 terawatt-hours of electricity in 2024, and this figure is expected to more than double by 2030 as AI adoption continues to grow. This amount of electricity would be comparable to the annual consumption of some entire countries.

The issue is not only energy consumption. Large data centers also require significant amounts of water for cooling, especially in regions that already face water shortages. As companies race to build more AI infrastructure, concerns about electricity demand, carbon emissions, and resource use have become increasingly important. Researchers have even described AI as a physical system that depends on energy, water, land, and other resources, not just software and algorithms.

What I find most interesting is the paradox. AI is often promoted as a tool that can help fight climate change through better energy management, scientific research, and environmental monitoring. At the same time, the rapid growth of AI is creating new environmental challenges. In other words, the technology that may help solve climate problems is also contributing to them.

For this reason, the future of AI should not be judged only by how intelligent or useful it becomes. It should also be evaluated by how efficiently and responsibly it uses resources. As AI becomes a larger part of everyday life, sustainability may become just as important as innovation.