In just over two years, China’s daily AI token consumption has exploded from 100 billion to more than 140 trillion tokens, a surge that is prompting AI companies to reconsider how they charge for their services.
- AI token use in China grew over 1,000 times in two years
- Daily consumption hit 140 trillion tokens by early 2026
- Consumption-based pricing models emerging among AI providers
What happened
AI token consumption in China has seen unprecedented growth since the beginning of 2024, with daily usage jumping from 100 billion tokens to an estimated 140 trillion tokens by March 2026. This remarkable surge, reported by data including that from China’s National Bureau of Statistics, demonstrates the rapid expansion and deep integration of AI technologies into daily activities and business processes across the country.
Experts from the Chinese Academy of Sciences have described this rise as the emergence of a new 'token economy,' reflecting how integral token consumption has become in AI operations. The scale of usage is so vast that if spread evenly, every individual in China would consume around 100,000 tokens per day, underscoring the massive reach and demand for AI-powered tools.
Why it matters
The drastic increase in token consumption is placing significant financial pressure on AI service providers, who are currently absorbing rising operational costs. This has led industry leaders to explore pricing models based on actual token usage rather than fixed subscription fees, a change likely to affect the economics of AI service delivery, especially for enterprises with heavy AI workloads.
Global AI companies, including OpenAI and Anthropic, as well as other technology firms like Zendesk, are already adapting their pricing frameworks to reflect this new reality, moving towards plans that charge customers per token or per meaningful outcome instead of traditional per-seat or flat-rate models. While this evolution mostly impacts large-scale corporate users, it signals a broader trend that could eventually influence consumer-level AI products as costs and usage patterns continue to evolve.
What to watch next
The industry should monitor how rapidly AI service providers implement token-based pricing and whether this model will expand beyond enterprise usage into consumer-facing products. This shift could lead to more transparent and usage-aligned billing but may also introduce complexity and uncertainty for end-users unaccustomed to variable costs.
Additionally, attention will be needed on technological advancements that could reduce token processing costs and how those improvements might delay or modulate pricing changes. Policymakers and market observers will also be interested in the effects of this token economy on AI adoption rates, competitive dynamics among providers, and the overall AI ecosystem in China and potentially other regions following similar patterns.