One of the key justifications for significant investment in artificial intelligence (AI), particularly resource-intensive models like large language models (LLMs), is their supposed potential to address pressing sustainability and climate challenges. AI’s proponents highlight its ability to optimize renewable energy systems, improve weather forecasting, and accelerate the discovery of novel materials. However, this argument centers on a critical paradox: while AI undoubtedly possesses the capacity to advance sustainability, its own environmental impact risks undermining many of the intended benefits.
