China is fast cementing its position as a major force in the global artificial intelligence landscape, with its large-scale AI models drawing considerable interest and adoption across international markets. According to data cited by the Associated Press of Pakistan, the country’s average daily token usage surpassed 140 trillion in March 2026, representing a more than 1,000-fold increase since the beginning of 2024. Tokens, which are the smallest units of text that artificial intelligence models process, have become a key indicator of how deeply AI has embedded itself into productivity workflows, complex problem-solving, and industrial applications worldwide.
The surge in adoption is largely attributed to the competitive edge that Chinese artificial intelligence models now demonstrate in terms of intelligence, processing speed, practical utility, and cost efficiency. A particularly notable example is the MiniMax M2.5 model, which has been engineered to generate high-quality responses using fewer tokens without compromising output value. With a throughput of 100 tokens per second and an operating cost of approximately one dollar per hour, the model runs at roughly one-tenth the expense of comparable American counterparts. This price-performance ratio has made Chinese AI offerings increasingly attractive to enterprises and developers in emerging and developed markets alike, where cost sustainability remains a critical consideration when deploying AI at scale.
Underpinning these advantages is China’s broader structural strength in the technology and energy sectors. The country benefits from a reliable electricity supply, growing green energy capacity, and a vertically integrated artificial intelligence supply chain that spans chip manufacturing, server infrastructure, cross-border networks, and international payment systems. These factors combine to lower operational costs and ensure stable computing power, enabling Chinese AI providers to offer consistent services to global clients. By December 2025, China had accumulated 602 million generative AI users, reflecting a 141.7 percent rise compared to the prior year. This domestic base has not only validated the technology at scale but also served as a testing ground for capabilities that are now being extended to international users.
Li Zhiqing, a professor at the School of Economics at Fudan University, offered a broader economic framing for this transition. He observed that while traditional manufactured goods generate modest value per kilowatt-hour of electricity consumed, digital tokens produced by artificial intelligence models can multiply that value dozens or even hundreds of times over. In his view, this dynamic allows China to convert its established energy and manufacturing strengths into high-value digital output that carries global economic significance. As artificial intelligence continues to move beyond the internet into sectors such as office collaboration, industrial design, and enterprise software, China’s integrated ecosystem positions it to play an increasingly prominent role in shaping how AI is built, deployed, and consumed around the world.
Follow the SPIN IDG WhatsApp Channel for updates across the Smart Pakistan Insights Network covering all of Pakistan’s technology ecosystem.
