Original Author: Curry, Shenchao TechFlow

Core Argument: As AI Tokens evolve from technical jargon into core billing units, revenue sources, and industry metrics, the battle over their naming rights is fundamentally a struggle for industry discourse power and "currency minting rights," which will shape future commercial narratives and value flows.

Key Points:

1. Token has become a crucial economic unit, evident in cloud service billing, company revenue, national statistics (e.g., China's daily consumption reaching 180 trillion), and even salary discussions, necessitating a Chinese name.

2. The naming rights battle is intense: "Zhi Yuan" (智元) is promoted by AI media, linking to the "intelligence" narrative; "Mo Yuan" (模元) is proposed by scholars, emphasizing model ownership; "Fu Yuan" (符元) returns to technical roots but lacks support.

3. The naming direction determines industry narratives and value flows. For instance, "Zhi Yuan" leans towards AI story valuations, while "Mo Yuan" directs pricing power to model companies.

4. The early academic translation "Ci Yuan" (词元) was ignored because Tokens lacked economic value at the time. The current controversy stems from Tokens becoming a "measure of money."

5. Industry giants like NVIDIA focus more on Token production and industrialization rather than naming, suggesting that practical productivity defines discourse power.

You might have noticed something recently: people have started discussing what Token should be called in Chinese.

Professor Yang Bin from Tsinghua University published an article with the straightforward title: "Determining the Chinese Translation for 'Token' is Now Urgent." On Zhihu, related translation questions attracted 250,000 views, with comment sections buzzing with suggestions.

For the past two or three years, the domestic AI circle directly used the word "Token," and no one saw a problem. Why the sudden need for a Chinese name?

The immediate reason might be that after this year's Spring Festival, the general public learned for the first time that Tokens cost money.

OpenClaw shifted AI from chatting to performing tasks, with a single task burning through hundreds of thousands of Tokens, sending bills skyrocketing. Various cloud providers have also announced price increases, with the billing unit being Token.

Simultaneously, Token started appearing where it previously didn't belong.

At the GTC conference, NVIDIA CEO Jensen Huang mentioned that in Silicon Valley, people are now asking in job interviews, "How many Tokens does this job offer?" He suggested incorporating Tokens into engineer compensation.

OpenAI founder Sam Altman took it further, suggesting Tokens could replace universal basic income, where everyone receives computing power instead of money.

Data from the National Data Bureau shows China's average daily Token consumption surged from 100 billion in early 2024 to over 40 trillion by September 2025, reaching 180 trillion in February this year. At the beginning of the year, *People's Daily* published an article titled "A Casual Talk on 'Ci Yuan'" to explain the term to readers.

Once a technical term enters cloud service bills, compensation packages, and official statistical metrics, it can no longer remain in English.

The question is, what should it be called?

If this were merely a translation issue, an answer already existed. In 2021, the domestic academic community settled on a name for Token: "Ci Yuan" (词元).

But no one cared because, back then, Token was just internal jargon within tech circles.

Now it's different.

The word "Token" itself is a universal container. Previously, people in the crypto sphere called it "dai bi" (代币, token/coin), those in security called it "ling pai" (令牌, token), and AI folks called it "ci yuan" (词元). Depending on which direction the Chinese translation leans for the same English word, it falls under whose domain.

Thus, a battle over naming Token has begun.

Business Needs Discourse Power

How a word is translated is usually a matter for linguists. But this time, almost no linguists are involved in the naming.

The currently most vocal name is "Zhi Yuan" (智元).

The most vigorous promoter is an AI media outlet called "Xin Zhi Yuan" (New Zhi Yuan). If Token's Chinese name becomes "Zhi Yuan," this company's brand name would coincide with a fundamental industry term, meaning every article discussing Token would provide free advertising for them.

Their own promotional article ends candidly: "We suggest translating Token as the industry's new consensus: 'Zhi Yuan,' leaving the 'Xin' (new) character for us."

According to the same article, Baichuan Intelligence founder Wang Xiaochuan commented: "Calling it 'Zhi Yuan' is quite good."

Of course, it's good for him as a large model developer. Each computation by a model no longer produces just a billing unit but a "basic unit of intelligence."

Selling Tokens is selling traffic; selling "Zhi Yuan" is selling intelligence—the valuation story is entirely different.

Professor Yang Bin from Tsinghua University proposed "Mo Yuan" (模元), with "Mo" corresponding to model. Whoever owns the large model controls the production rights of "Mo Yuan." Leaning the name towards models directs pricing power towards model companies.

Some advocate for "Fu Yuan" (符元), returning to the most fundamental definition in computer science: Token is a symbol processing unit, unrelated to intelligence or models.

It's the cleanest technically, but the proposer is an independent technical writer with no corporate backing or capital promotion, giving it almost no voice in this discussion.

Whichever direction the name leans, the industry narrative follows, and money flows accordingly.

A distant example: the day Facebook renamed itself Meta, "metaverse" transformed from a sci-fi concept into a company's valuation story. A recent example: China consumes 180 trillion Tokens daily, ranking first globally, but what to call this term, how to define it, and who defines it remain undecided...

The world's largest Token consumer hasn't even decided what to call what it consumes.

However, this term actually already had a Chinese name.

In 2021, Professor Qiu Xipeng from Fudan University's School of Computer Science translated Token as "Ci Yuan" (词元). The academic community accepted it and included it in textbooks. No one discussed it then because Tokens weren't valuable at the time.

Now Tokens are valuable.

They are the billing unit for cloud services, the revenue source for large model companies, and a core metric for national statistics on AI industry scale. So, media arrived, big names arrived, professors arrived, each bringing their preferred name and the rationale behind it.

Translation was never the issue. The issue is when this term started becoming valuable.

Jensen Huang didn't participate in the Chinese naming discussion at GTC. He did something simpler: held up a championship belt inscribed with "Token King" and declared data centers are Token factories.

Whoever produces Tokens defines Tokens. He doesn't care about the name.

Token, Land Grabs, and Currency Minting

Therefore, what's truly worth serious consideration here isn't which translation is better.

After the term "calorie" was established, the entire food industry's pricing, labeling, and regulatory systems were built around it. After "data traffic" was defined in China's telecommunications industry, operators billed, competed, and designed packages based on it—the entire business model revolved around these two words for over a decade.

Token is now on the same path.

It's already the billing unit for cloud services, the revenue metric for large model companies, and a core indicator for measuring AI industry scale at the national level. The VC circle is even starting to discuss whether investment disbursements could be made directly in Tokens.

Once a word becomes a measure of money, naming it isn't translation—it's currency minting.

Call it "Zhi Yuan," and the minting rights belong to the AI narrative; whoever tells the intelligence story benefits. Call it "Mo Yuan," and the minting rights belong to model companies; whoever has large models prints money. Call it "Fu Yuan," and the minting rights return to the technology itself, but technology doesn't speak for itself.

The academic community's 2021 choice of "Ci Yuan" was ignored not because of poor translation, but because that "coin" wasn't valuable then.

Now it's valuable, and everyone wants to stamp their name on it.