China AI Compute Demand Surges as Global Supply Deficit Widens, Report Finds

A newly released industry report by IDC and Inspur Information shows that the rapid rise of AI agents is accelerating computing power consumption, widening the global supply-demand deficit. The report forecasts that the global AI compute satisfaction rate will sink to a trough of 71 percent by 2027, before recovering slightly to 77 percent by 2030. In China, where Beijing, Hangzhou, and Shenzhen rank as the top three AI compute cities, intelligent computing scale is projected to surge to 2,576.5 EFLOPS in 2026 and top 10,524 EFLOPS by 2030, raising questions about infrastructure bottlenecks.

The commercial shift from passive large language models to autonomous AI agents represents a qualitative leap in resource consumption. Because agents iteratively call external tools, execute multi-step workflows, and process large volumes of context, their token usage expands at roughly 37 times the rate of agent adoption itself. This rapid increase in demand threatens to overwhelm hardware supply chains, where manufacturing capacity for advanced processors, high-bandwidth memory, and server enclosures remains constrained by physical lead times.

The rapid expansion of autonomous artificial intelligence agents is driving an unprecedented surge in computational demand, accelerating a global supply deficit that is expected to bottom out over the next three years, according to an industry assessment released in China. The 2026 China Artificial Intelligence Computing Power Development Assessment Report, jointly published by International Data Corporation (IDC) and server manufacturer Inspur Information at the AICC 2026 Artificial Intelligence Computing Conference, highlights a widening mismatch between hardware production and real-world usage. According to reporting by National Business Daily, IDC projects that the global number of active AI agents will expand from 79.4 million in 2026 to 2.216 billion in 2030, representing a compound annual growth rate of 129.8 percent. Over the same timeframe, token consumption is forecast to grow at an annual rate of 4,822.6 percent—roughly 37 times faster than agent unit growth. This structural surge in token usage is reshaping capacity planning across the computing sector. In China, intelligent computing scale is projected to hit 2,576.5 exaflops (EFLOPS) in 2026, marking an 87.9 percent year-over-year increase, before rising to 10,524.3 EFLOPS by 2030. Consequently, the projected five-year compound annual growth rate for Chinese intelligent computing between 2025 and 2030 was revised upward to 50.3 percent, compared with 46.2 percent in previous iterations. The domestic market value for AI computing is forecast to reach 51.5 billion dollars in 2026 and expand to 150.1 billion dollars by 2030. Geographically, a report from China News Service identified Beijing, Hangzhou, and Shenzhen as the country's top three cities in AI computing power, reflecting the concentration of top foundation model creators and cloud computing infrastructure in those metropolitan centers. However, supply chains for chips, memory modules, and specialized servers are struggling to keep pace. The IDC-Inspur report estimates that the global satisfaction rate for AI computing demand will drop from 79 percent in 2024 to a low of 71 percent in 2027, recovering only to 77 percent by 2030. In monetary terms, the absolute global shortfall is projected to widen tenfold, expanding from 38.9 billion dollars in 2024 to 380.9 billion dollars by 2030.