What's Happening?
Chinese mobile network operators, including China Mobile, China Unicom, and China Telecom, are transitioning to a new revenue model by introducing universal artificial intelligence (AI) token plans. This shift comes as traditional connectivity services
face declining revenue. The new model involves billing customers based on AI usage credits or tokens, which are used to access large language models and agent-based AI applications. According to GlobalData, AI token usage has surged significantly, reaching approximately 140 trillion tokens per day as of March 2026. This increase is attributed to the widespread adoption of large language models and agentic AI systems, which require more tokens per output compared to standard generative AI use cases. Emma Mohr-McClune, Chief Analyst for Telecoms at GlobalData, noted that while there is speculation about AI token plans potentially replacing mobile data quotas, it is too early to confirm such a shift.
Why It's Important?
The introduction of AI token plans by Chinese mobile operators represents a significant shift in the telecommunications industry, as companies seek to diversify their revenue streams beyond traditional data services. This move could set a precedent for other telecom companies globally, especially as AI technologies continue to evolve and integrate into various sectors. The increased demand for AI tokens highlights the growing reliance on AI applications, which could drive further innovation and investment in AI technologies. However, this shift also poses challenges, such as the need for robust infrastructure to support increased AI usage and potential regulatory considerations regarding data privacy and security.
What's Next?
As Chinese mobile operators continue to explore AI token plans, other telecom companies worldwide may monitor these developments closely to assess the viability of similar models in their markets. The success of this transition could influence global telecom strategies, particularly in regions where AI adoption is rapidly increasing. Additionally, regulatory bodies may need to address new challenges related to AI usage, such as data privacy and security concerns. The ongoing evolution of AI technologies will likely drive further changes in the telecommunications industry, potentially leading to new business models and revenue opportunities.
