央企“AI+”专项行动成果显著,超千个应用场景落地
Yang Shi Xin Wen Ke Hu Duan·2026-01-28 04:23

Core Insights - The State-owned Assets Supervision and Administration Commission (SASAC) emphasizes the importance of artificial intelligence (AI) as a key driver for technological revolution and industrial transformation, launching the "AI+" initiative to enhance the capabilities of central enterprises [1][2] Group 1: High-Value Applications - Central enterprises are focusing on key industries such as energy, manufacturing, and telecommunications, creating over a thousand application scenarios, with notable implementations in smart management and fault prediction by State Grid and Southern Power Grid [1] - AI is driving the transformation and upgrading of traditional industries, with examples including the use of intelligent robots in manufacturing and advanced models in rail transit equipment by China CRRC Group [1] Group 2: Computing Power Supply - Central enterprises are actively integrating into the national computing power layout, significantly increasing investment in computing resources, exemplified by the establishment of four "ten-thousand card clusters" by the three major telecom operators [1] - Platforms like "Xirang" and "Computing Network Brain" are being developed to provide standardized computing power services, focusing on low-cost and high-intelligence solutions [1] Group 3: Large Model Adaptation - The development of general large models such as China Mobile's "Jiutian" and China Telecom's "Xingchen" has empowered over 200 external units, accelerating applications in energy and industrial manufacturing [2] Group 4: Open Cooperation - Initiatives like the "Renew Community" are providing over 2,000 domestic intelligent computing chips for free to young entrepreneurs and tech enthusiasts, gathering over 4,000 models and 800 datasets to promote the widespread application of AI technology [2] Group 5: Future Actions - The SASAC plans to strengthen investment in AI, focusing on the "14th Five-Year Plan" for AI development, enhancing the construction and efficient utilization of information communication networks and computing power networks [3] - There will be an emphasis on cultivating application scenarios in key areas such as embodied intelligence and energy, aiming to create an "AI+" industry community [3] - The optimization of data supply will be prioritized, promoting the open development of data resources in sectors like transportation, smart energy, and financial services to support model optimization and large-scale application [3]