What does it cost to transcribe All VOICE calls ->TEXT for faster analysis, apply DEEP learning to it, and apply a graph of Everyone bigger than Facebook to these patterns?
The voice->text is inaccurate enough (especially because the many different languages that can be used) so you have to keep the original recording and not just the text; but yes, you can easily do things like "find all conversations where the word 'nakamoto' is heard" with mass scale voice/speech analysis.
Just going by energy need I back-of-the-envelope estimated the Bluffdale center could run voice recognition on all U.S. voice calls, yes. I'd guess it's not the best use of that much power, currently, but it'll only get easier.
I was just talking about the cost of storage, not acquisition or analysis.