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    Home » AI Tokens Take Centre Stage as China Defines ‘Ciyuan’

    AI Tokens Take Centre Stage as China Defines ‘Ciyuan’

    ReshamBy ReshamMarch 27, 2026Updated:March 27, 2026 AI and Robotics No Comments2 Mins Read
    AI Currency ciyuan

    China Coins a New AI Term

    China has officially adopted the term “ciyuan” as its translation for “token”—the basic computational units that power artificial intelligence systems such as ChatGPT, Claude, and Gemini. The move is being seen as part of a broader attempt to shape the language and potentially the economics of the global AI ecosystem.

    In Chinese, “ci” means “word”, while “yuan” is commonly used to refer to currency. Together, the term suggests a concept where units of language are treated almost like units of value.

    Towards a ‘Token Economy’

    As the global race in artificial intelligence intensifies, tokens—once a technical detail—are becoming central to how AI systems are priced and scaled. Instead of traditional financial benchmarks, the emerging AI economy is increasingly measured by metrics such as cost per million tokens and output per unit of energy.

    While the US dollar has long dominated the global financial system, China appears to be positioning itself to gain influence in this new “token economy”, where computational efficiency and pricing models play a key role.

    Rising Importance of Tokens

    Tokens are the smallest units of data processed by AI models. They can represent words, parts of words, punctuation, or even spaces. When a user inputs a prompt, the AI does not understand language in a human sense; instead, it processes sequences of tokens and predicts what comes next to generate a response.

    As AI systems move from experimental tools to large-scale applications, token usage is rising rapidly. This has made the cost per token a critical factor for businesses and developers.

    China’s Competitive Edge

    According to industry data cited by the Financial Times, Chinese AI firms are gaining ground by offering significantly lower pricing models. This shift is beginning to influence how the global AI market operates, potentially reshaping competition as companies prioritise efficiency and scale.

    Author

    • Resham
      Resham

      Research Associate at Interstellar.| China Scholar | China Social Media & Foreign Affairs|

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    Research Associate at Interstellar.| China Scholar | China Social Media & Foreign Affairs|

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