Opinion: “Token Export” May Become a New Application Scenario for Central Bank Digital Currencies

“Token export” is not yet a standard concept in regulatory documents or annual reports, and the public market also lacks disclosures covering the two linked areas of “overseas clients calling Chinese AI data centers via tokens” and “cross-border clearing using CBDC.” When discussion shifts to real-world scenarios, the “token export” of AI inference services is viewed as a potential entry point, packaging model capabilities, computing power, data centers, and other resources into tradable AI service output.

The core of CBDC is a trusted settlement protocol, featuring final settlement, real-time cross-border clearing, programmable payments, multi-party revenue allocation, and embedded regulatory observability. It can be integrated with an AI service metering system to form a closed loop—from invocation to billing to clearing and settlement.

According to the ME News report on June 19 (UTC+8), Caixin said in an article that “token export” is not currently a standard concept in regulatory documents or corporate annual reports, and there has not yet been a fully disclosed case in the public market that covers both “tokens enabling overseas clients to call Chinese AI data centers” and “cross-border payments, clearing, and final settlement completed through central bank digital currency.”

Discussions around cross-border CBDC payments are gradually moving from the grand narratives of monetary sovereignty and international financial competition toward new scenarios with more practical transaction foundations. In this context, the “token export” of AI inference services is regarded as a potential key entry point, packaging model capabilities, computing power, electricity, data centers, and industry engineering capabilities into tradable AI service outputs. The core value of CBDC lies in its “trusted settlement protocol” attributes, including the central bank’s final settlement capability, real-time cross-border clearing efficiency, programmable payment capability, multi-party automatic allocation mechanisms, and embedded regulatory observability. When combined with enterprise-level AI service metering systems, it enables a closed-loop process from invocation, billing, to clearing and settlement.

(Source: ODaily)