A commentary published by People’s Daily has called on Chinese researchers, companies, and media to adopt standardized Chinese equivalents for widely used English artificial intelligence terms, including agent and large language model. According to SCMP’s report on the People’s Daily commentary, the piece framed the shift as a matter of intellectual independence and global influence rather than a narrow linguistic preference.
The commentary argued that continued reliance on English loanwords in the AI field could produce what it described as cognitive dependency, hampering the development of original Chinese theoretical frameworks and weakening the country’s ability to shape international discussions on technology governance. That framing, as relayed by SCMP, positions vocabulary itself as an instrument of what Chinese policy writing often calls discourse power, the capacity to set the conceptual terms in which a field is understood and debated.
SCMP also reported that at the China Development Forum in March 2026, the word ciyuan was designated as the standard Chinese translation for token, the basic unit of text that large language models process and bill against.
Why Beijing Is Focused on AI Vocabulary Now
The push described by SCMP arrives as AI applications become more visible in everyday Chinese life. For broader background on domestic AI infrastructure, readers can consult EastFrontier’s earlier coverage of China’s software stack.
The People’s Daily commentary, as summarized by SCMP, treats terms like agent and LLM as more than convenient shorthand. It argues that when a field’s foundational vocabulary is borrowed wholesale, downstream concepts, product categories, and even research questions tend to follow the assumptions embedded in the original language. That argument, attributed here to the commentary itself rather than to any independent verification, presents Chinese-language standardization as a precondition for domestic theoretical work that does not simply track Western framings.
It is worth noting what the SCMP account does not establish. The report does not indicate that the terminology guidance carries the force of law, that it constitutes a formal national regulation, or that Chinese researchers and companies have in practice begun to abandon English abbreviations in day-to-day communication. The commentary functions as an authoritative recommendation from a leading state outlet, and its practical uptake across academia, industry, and social media remains an open question. Terminology can also differ across academic papers, product interfaces, developer documents, and daily conversation, even when a preferred equivalent has been proposed.
Language Standardization and China’s Broader AI Strategy
The commentary’s emphasis on Chinese-language terminology fits within a longer pattern of official attention to how technology is described inside the country. The SCMP report describes an explicit link in the commentary between vocabulary choices and China’s international standing in AI governance. The article does not establish how widely the recommendation will be adopted or how technical language will change in practice. It remains an editorial argument, not a binding national standard or a measure of actual adoption.
That linkage matters because AI governance debates are unfolding in multiple venues at once, from standards bodies to bilateral dialogues to industry consortia. The commentary’s argument, as SCMP describes it, is that participants who import their conceptual vocabulary from another language start those debates at a disadvantage, because the categories under discussion have already been defined by others. Whether that argument is empirically borne out is not something the SCMP report attempts to adjudicate, and it should be read as the commentary’s position rather than as an established finding.
The ciyuan designation for token, reported by SCMP as having been made at the China Development Forum in March 2026, offers a concrete test case. Tokens are not only a technical concept but also a commercial one, appearing in pricing pages, earnings commentary, and developer documentation. A standardized Chinese term used consistently across those contexts would be more visible than a translation confined to academic papers.
Implications for Chinese AI Ecosystem and Minority Languages
If the terminology guidance described by SCMP does gain traction, its effects would likely be felt first in state media, official documents, and large domestic conferences, where alignment with People’s Daily framing tends to be strongest. Private companies, developer communities, and bilingual researchers may adopt the new terms more unevenly, particularly where English vocabulary is entrenched in code, documentation, and cross-border collaboration. The SCMP report does not provide evidence on how any of these audiences have responded so far.
The People’s Daily commentary summarized by SCMP addresses terminology, not minority-language AI development or model training. Related EastFrontier coverage of AI and language offers a separate perspective on the intersection of technology and linguistic access.
For now, the most concrete outcome documented in the SCMP report is the ciyuan designation for token and the People’s Daily call to extend that kind of standardization to terms such as agent and LLM. Whether that call translates into consistent usage across Chinese AI discourse, and whether it produces the theoretical and governance effects the commentary anticipates, will be visible only over time and is not something the current reporting resolves.