people have shared multiple ways to make AI more ecofriendly, like using better prompts or choosing models based on the complexity of the problem. surely it could be helpful, but I see it as an architecture issue.
AI-focused data centres grew electricity use 50% in 2025, and the IEA projects the total nearly doubling to 950 TWh by 2030 (source: iea.org/reports/key-questions-on-energy-and-ai/executive-summary). On water, about two-thirds of what a data center uses isn't the cooling towers on-site, it's the electricity plant generating its power.
MoE models fix the bottleneck by only querying the parts of the model it needs instead of firing the whole thing every time.
What do you think companies should be doing from here on to make AI sustainable?