CAICT vice president says China’s daily token calls reached 140 trillion by late March 2026

CAICT vice president says China’s daily token calls reached 140 trillion by late March 2026

N
News Editor
2026-07-18 06:58:32
China’s daily Token call volume has surged from about 100 billion at the start of 2024 to 140 trillion by the end of March 2026, a rise of more than 1,000 times, according to China Central Television Finance, citing Wei Liang, vice president of the China Academy of Information and Communications Technology (CAICT). Wei said intelligent agents are giving rise to a new economic form centered on tokens, or "ciyuan" in Chinese, which serve as a key unit for large models to process information and measure usage costs. The report said token growth is one of the clearest gauges of industry expansion. In the agent era, a single user instruction can trigger multiple rounds of model calls and resource consumption, directly driving a jump in demand for AI computing power. As agent deployments scale up, new models are also emerging around token metering, scheduling, pricing and trading.
Artificial IntelligenceTokenIntelligent AgentsCAICTChinaComputing Power

China’s daily Token call volume has climbed from about 100 billion at the beginning of 2024 to 140 trillion by the end of March 2026, marking growth of more than 1,000 times, according to China Central Television Finance, which cited Wei Liang, vice president of the China Academy of Information and Communications Technology.

Wei said intelligent agents are driving a new economic form known as the “Token economy.” Token, translated into Chinese as "ciyuan," is an important unit used by large models to process information and measure the cost of model usage. Its growth rate is described in the report as a direct barometer of industrial development.

The report added that in the age of intelligent agents, a single user instruction may trigger multiple rounds of model calls and resource consumption, directly lifting demand for artificial intelligence computing power. As intelligent agents move into large-scale use, new models are taking shape around token metering, scheduling, pricing and trading.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
400

Disclaimer:

The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.

Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.