Computing Power and AI Applications Enter Symbiotic Growth Phase

At the main forum of the 2026 China Computing Conference, Academician Wu Hequan of the Chinese Academy of Engineering presented forward-looking insights on the evolution of global computing patterns. He highlighted that the explosive growth of artificial intelligence applications is directly driving rapid increases in underlying computing resource demands.

Efficiency Takes Priority in Technological Evolution

Wu emphasized that technological progress is reshaping how resource consumption is evaluated. “The focus has shifted from pure scale expansion to improving utilization efficiency.” He noted that by March this year, global AI applications were consuming 140 trillion computational units daily, but industry attention has moved from quantity to maximizing value per unit.

This shift is particularly evident in the Chinese market. As algorithms optimize and infrastructure improves, the cost per computational unit continues to decline, enabling broader deployment of innovative applications. This creates a virtuous cycle where lower costs and higher efficiency accelerate the penetration of computing resources across various sectors.

China's Computing Share Projected to Exceed 30% by 2030

Data presented at the forum revealed distinct geographical concentration in global computing distribution:

  • The United States leads with 46% share
  • China follows with 21% market presence
  • Remaining countries collectively account for 33% of computing infrastructure

Wu indicated that according to national computing network plans, China's proportion of global computing power could reach approximately 30% by 2030. This growth stems not only from continued infrastructure investment but also from expanding application scenarios and systematic optimization of resource utilization efficiency.

A clear positive correlation exists between computing power and intelligent applications. Diverse application demands stimulate infrastructure upgrades, while enhanced computing capabilities provide fertile ground for next-generation AI solutions. This two-way驱动模式 is reshaping competitive dynamics in the global digital economy.