Workflow
算力经济推动数字经济向高阶跃迁
Xin Lang Cai Jing·2025-09-28 23:52

Core Insights - The report highlights the rapid development of the computing power economy in China, emphasizing its role as a new productive force in the digital age and its significance in driving the digital economy towards higher levels of growth [1] Supply and Demand Dynamics - On the demand side, technological advancements and deeper applications are driving continuous growth in computing power demand, with data production expected to reach 41.06ZB in 2024, a 25% year-on-year increase [2] - On the supply side, China's computing power supply capacity is continuously enhancing, with the number of standard racks in computing centers reaching 10.431 million by March 2025, reflecting significant progress in infrastructure [2] - The intelligent computing scale reached 748 EFlops (FP16) by March 2025, with an average growth rate of 49% over the past five years, indicating a strong push towards diversified computing supply [2] Impact on GDP - The growth of computing power has a positive effect on GDP, with a 1% increase in computing power scale corresponding to a 0.426‰ increase in GDP [3] - The impact of computing power on GDP varies by region, with lower GDP areas requiring significant investment for computing power to yield noticeable results, while higher GDP areas can achieve exponential output increases from computing investments [3] Policy Implications - Computing power policies have a long-term driving mechanism for GDP growth, with selected cities for data center clusters seeing a 1% increase in computing power scale leading to an additional 0.109‰ GDP growth [4] - The effectiveness of computing power policies is universal across different regions, influencing economic growth mechanisms regardless of geographic location [4] Need for Policy Improvement - The computing power economy in China is still in its early stages, facing challenges such as inadequate top-level design and the need for exploration of local models [5][6] - Recommendations include enhancing top-level design, optimizing the computing power policy system, and encouraging local exploration of unique computing power economic models [6] - Emphasis is placed on strengthening technological research and development to improve self-innovation capabilities and enhancing the enabling role of computing power across various industries [6]