Cool, now how much power was consumed before even a single prompt was ran in training that model, and how much power is consumed on an ongoing basis adding new data to those AI models even without user prompts. Also how much power was consumed with each query before AI was shoved down our throats, and how many prompts does an average user make per day?

This feels like PR bullshit to make people feel like AI isn't all that bad. Assuming what they're releasing is even true. Not like cigarette, oil, or sugar companies ever lied or anything and put out false studies and misleading data.

However, there are still details that the company isn’t sharing in this report. One major question mark is the total number of queries that Gemini gets each day, which would allow estimates of the AI tool’s total energy demand.

Why wouldn't they release this. Even if each query uses minimal energy, but there are countless of them a day, it would mean a huge use of energy.

Which is probably what's happening and why they're not releasing that number.

The company has signed agreements to buy over 22 gigawatts of power from sources including solar, wind, geothermal, and advanced nuclear projects since 2010.

None of those advanced nuclear projects are yet actually delivering power, AFAIK. They're mostly in planning stages.

The above isn't all to run AI, of course. Nobody was thinking about datacenters just for AI training in 2010. But to be clear, there are 94 nuclear power plants in the US, and a rule of thumb is that they produce 1GW each. So Google is taking up the equivalent of roughly one quarter of the entire US nuclear power industry, but doing it with solar/wind/geothermal that could be used to drop our fossil fuel dependence elsewhere.

How much of that is used to run AI isn't clear here, but we know it has to be a lot.