The race for supremacy in artificial intelligence is often portrayed as a contest of intellectual prowess: better models, faster chips and more sophisticated algorithms. But this perspective misses a harder, less glamorous truth. The real frontier of AI isn't silicon — it's electricity. Training a single large language model consumes as much electricity as hundreds of United States homes do in a year. The daily operations of AI systems — ChatGPT queries, recommendation engines and autonomous systems — only magnify that demand.