A new study highlights the significant and rapidly increasing energy consumption of artificial intelligence systems, particularly large language models and data centers. The research indicates that training advanced AI models can consume as much electricity as hundreds of homes use in a year, while ongoing inference operations add substantial continuous demand. This surge is raising concerns about grid stability and environmental impact, pushing researchers and companies to explore more efficient hardware designs, optimized algorithms, and potential integration with renewable energy sources. The article notes that while AI offers transformative potential, its sustainability is becoming a critical factor for its long-term development and deployment. Read the full article at https://technologyreview.com/2024/07/15/ai-energy-consumption-sustainability-challenge.