Report: China's AI Is Now Answering More Than It Learns
A reported CCID estimate puts daily inference activity above 175 trillion token calls. If confirmed, the shift would put the recurring cost of running AI models at the centre of China's computing demand.
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by Rook Ellison
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China's daily AI inference activity has overtaken training, according to an industry estimate reported by Pandaily, pointing to growing demand for computing power to serve users.
CCID, a Chinese industry body, estimated that the crossover happened in June, Pandaily said. It put daily inference activity above 175 trillion token calls, more than 1,000 times the level in early 2024.
Inference is the work a trained model does when it responds to a prompt. Training is the process of adjusting the model's internal settings using data so that it learns patterns. The reported crossover suggests that using models is becoming a larger activity than building them.
That would make the economics of answering questions increasingly important. A model needs resources to be built, but it also needs computing power every time someone uses it. At sufficient scale, that repeated work can become an enormous demand of its own.
