China’s AI computing infrastructure is developing along two sharply divergent paths. As large language models and AI agents gain traction across industries, rapidly rising token consumption is driving shortages of advanced computing capacity. At the same time, portions of the country’s installed lower- and mid-tier capacity remain underutilized because of software compatibility issues, weak coordination between supply and demand, and inadequate resource scheduling.