Broadly speaking, AI consumes energy and water in two main ways: training large models and generating outputs, or “inference”...There are too many types of AI to produce a clean and easy metric for understanding energy and water use.
If Canada’s AI strategy is to be credible and sustainable, it must account for environmental transparency and support for local governments. Only then can AI’s progress align with our collective climate ambitions for a healthier, safer, and just future."


















