The energy consumption of data centers is a growing concern. As our reliance on these digital hubs increases, so does their impact on the environment. But what if artificial intelligence could help us write more energy-efficient software? Researchers are exploring how large language models (LLMs), the same technology behind chatbots like ChatGPT, can be used to optimize code for lower energy consumption. In initial experiments, LLMs successfully generated energy-efficient versions of standard algorithms, achieving reductions in energy use between 30% and 90% on simple tasks. This involved tasks like parallelizing code and leveraging specialized hardware instructions, things typically beyond the scope of introductory programming courses. The researchers envision LLMs acting as “meta-compilers,” helping even novice programmers create optimized code tailored to specific hardware. They're developing a learning module to teach students how to leverage LLMs for energy-efficient programming and how to apply systems thinking to make broader design decisions that further reduce energy usage. This research holds promise for a future where AI assists in creating greener, more sustainable software, lessening the environmental impact of our increasingly digital world. While still early, this work offers a glimpse into a future where AI can be a powerful tool for sustainability.