AI for Climate Action

10 Practical Steps You Can Take Locally

To make your use of AI more sustainable in your daily life, try these steps: match AI models to the size of the task rather than always using massive models; prefer AI tools that run locally or on edge devices to cut down on data transfer and energy loss; batch many small AI queries into fewer, larger ones; select infrastructure and services powered by renewables; limit generative AI (especially images or video) to when they are truly needed; use smart sensors or apps to optimize home heating, cooling, lighting, and reduce waste; choose tools that help you monitor local environmental parameters such as air quality, energy demand, or water usage; share what you learn with friends and community to build awareness; support open-source or transparent AI platforms whose efficiency and impact you can scrutinize; and always weigh the environmental cost versus benefit when choosing tools or participating in AI projects—ask whether the good outweighs the footprint.