

It’s actually only 17%, and even that was “I haven’t changed my habits”, which could be someone that was buying Canadian already.
The 53% was people who changed habits and are buying more Canadian/ international. The rest includes no change, drinking less, and people who don’t drink.
If you run it on your own hardware then you know exactly how much energy it’s using. Some of the models can even run on the average computer, but the quality is not great.
The problem we have right now is where everyone is trying to use generative AI for everything, all the time, even for basic takes such as googling for a fact, simple math that could be done on a calculator, etc. They’re also often using the latest and greatest AI models, which are powerful and spend a lot of processing power each time. In order to run the servers to respond to all that, companies use a large amount of power, and then use water to cool the servers. That’s the water usage from what I understand.
So if you use a simpler / more efficient model, and only use it for tasks where it’s better than conventional tools, you’ll be doing much better power usage wise.