In this thread alone there are many comments multiplying the median to get some sort of totalt, but that's just not how medians work.
If I multiplied my median food spent per day with the number of days per month, I'd get a vastly lower number than what my banking app says.
The median is more useful to answer the question of how much energy a typical Gemini interaction uses.
Also, they say median and mean diverge a lot. So, in my view, google should disclose both and discuss it. Understanding avg/total consumption of AI use is relevant here.
Google has rolled out AI summaries extensively over the time of the study and they likely use more efficient inference than chatbot prompts to their larger models.
They discuss the median in their paper. But I couldn’t find any breakdown about how the prompts they analyze are distributed across their models.