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The University of Rhode Island’s AI lab estimates that GPT-5 averages just over 18 Wh per query, so putting all of ChatGPT’s reported 2.5 billion requests a day through the model could see energy usage as high as 45 GWh.
A daily energy use of 45 GWh is enormous. A typical modern nuclear power plant produces between 1 and 1.6 GW of electricity per reactor per hour, so data centers running OpenAI’s GPT-5 at 18 Wh per query could require the power equivalent of two to three nuclear power reactors, an amount that could be enough to power a small country.
Tech hasn’t improved that much in the last in the last decade. All that’s happened is that more cores have been added. The single-thread speed of a CPU is stagnant.
My home PC consumes more power than my Pentium 3 consumed 25 years ago. All efficiency gains are lost to scaling for more processing power. All improvements in processing power are lost to shitty, bloated code.
We don’t have the tech for AI. We’re just scaling up to the electrical senand demand of a small country and pretending we have the tech for AI.
This is nonsense, an M1 runs many multiples faster and at much lower wattage.
Not even the ai tech itself is enough for ai
It’s the muscle car era: can’t make things more efficient to compete with Asia? MAKE IT BIGGER AND CONSUME MORE