AI Computing Demand Soars as Daily Token Usage Leaps 1000-Fold
Recent figures from the China Academy of Information and Communications Technology (CAICT) reveal the staggering pace of growth in China's artificial intelligence sector. Wei Liang, a vice president at the academy, highlighted that the country's daily Token usage has skyrocketed from around 100 billion in early 2024 to 140 trillion by the end of March 2026—an increase of more than 1,000 times. This exponential rise reflects a fundamental shift driven by the widespread adoption of intelligent agents (AI Agents).
Understanding Tokens: The Fundamental Unit of AI Interaction
In the context of large language models, a Token is the basic unit for processing information, understanding prompts, and generating content. It also serves as the key metric for measuring the cost of model inference. Every interaction with an AI, every task performed by an intelligent agent, consumes a vast number of tokens. Consequently, the volume of Token usage directly indicates the frequency and depth of practical AI application, acting as the most immediate barometer for industry activity.
The Rise of the "Token Economy": How Intelligent Agents Are Reshaping Business
Unlike early simple Q&A systems, modern intelligent agents can handle complex, multi-step tasks. A single user instruction may trigger multiple rounds of reasoning, tool calls, and data retrieval by the agent, leading to sustained Token consumption. This operational paradigm is giving birth to a new economic framework: the "Token Economy."
Within this Token Economy, computing power demand is exploding. More significantly, a series of new business models centered around Tokens are rapidly emerging:
- Granular Metering: Accurately measuring Token consumption in complex workflows.
- Dynamic Orchestration: Efficiently allocating different models and computing resources to optimize costs.
- Market-Based Pricing: Differentiating Token prices based on model capability and task complexity.
- Trading and Liquidity: The potential development of more flexible Token trading mechanisms.
This indicates that the value flow and commercial models of artificial intelligence are increasingly being restructured around the Token as a fundamental unit. Surpassing a daily volume of hundreds of trillions is not just a milestone; it signals that a new generation of digital economic infrastructure, built around intelligent agents, is now in a phase of rapid expansion.