AI world energy consumption

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AI technologies consume significant amounts of energy, with estimates suggesting that AI-related activities could consume as much electricity as a small country like Ireland. The growth of AI, particularly large language models (LLMs), has led to concerns about the energy demands of data centers, which already account for 1-1.5% of global electricity use. If current trends continue, AI energy consumption could increase dramatically, potentially leading to a 10-fold increase in data center energy consumption1. AI can also support energy conservation efforts by optimizing energy systems, enhancing demand-response programs, streamlining industrial processes, and improving building management. However, the development and operation of AI solutions require substantial computational power, which can have a knock-on effect on energy usage and conservation3. Efforts to improve AI's energy efficiency include optimizing hardware, using renewable power sources, and developing energy-aware modeling techniques. However, there are challenges in balancing the demand for more powerful AI models with their environmental impact4. In summary, AI's energy consumption is a growing concern, but it also presents opportunities for energy conservation through optimization and efficiency improvements. Transparency, monitoring, and reporting of AI sustainability are crucial for managing its environmental impact4.
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