This is coming from a group that does analysis on the semiconductor and cloud industries and provided very expensive access to their models and info. They are the citation.
So I guess it’s not a bubble then since these companies are raking in the big revenues? Or maybe they are counting all those circular investments as revenues somehow?
Fair enough, but it has been stated over and over that OpenAI's (as well as others) plan for profit is subscriptions. If their revenue predictions are based on that, then like others have said, it is mathematically impossible.
Have you considered that the industry analysis might be a biased source since they are all in on a economic model that must grow at all costs or it collapses? Do you trust McKinsey consulting because they give industry analysis? Blind trust in these corporate entities is how we get Enron, WorldCom, and an opioid crisis.
But hey, I'm just some asshole on the internet. Carry on.
Even if that’s true, that seems like a putrid number, no?
Assuming a single 1GW the data center runs 24/7 365, it’s consuming 8.76 TwH per year. Only being able to generate $10-$12B in revenue (not profit) per year while consuming as much electricity as the entire state of Hawaii (1.5M people) seems awful.
If you do the math, that's $10-$12 per watt year. There's approx 24×365.25=8766 hours in a year, so assuming that the datacenters would be running 24×7, that boils down to $1.14 to $1.37 in revenue per kWh. That's not a bad deal if power really is a major part of the expense.
As far as I can tell, power isn't actually a major part of the expense, it's dwarfed by the capex. Just the amortization on the GPU will be an order of magnitude higher than the cost of the power to run the GPU at 100%. (Assuming a 5 year depreciation period.)
Citation needed.