The industrial upgrading centered on intelligent manufacturing is the core lever and strategic pivot that determines the quality and competitiveness of the modern industrial system. At the recently held 2026 CCID Forum, Su Bo, Deputy Director of the National Strategic Advisory Committee for Building a Strong Manufacturing Nation and Director of the National Intelligent Manufacturing Expert Committee, stated that China has clearly identified intelligent manufacturing as its main direction, gradually forming a characteristic path of digitalization, networking, and intelligence parallel promotion, and successfully achieving the strategic goal of "taking the first step" in building a strong manufacturing nation. The overall level of the manufacturing industry has shifted from being dominated by the mid to low end to entering the mid to high end in multiple important fields. The fields of 5G communication equipment, high-speed rail equipment, shipbuilding, new energy vehicles, wind power, and solar power generation new energy equipment have reached the world's leading level. As of the end of last year, the digital transformation coverage rate of industrial enterprises above designated size in China reached 89.6%, and the penetration rate of digital equipment reached 57.7%. As an important carrier of intelligent manufacturing, the production and sales of industrial robots exceeded the total of other countries. The innovation capability of core technology continues to enhance, and the supply capacity of intelligent manufacturing has significantly improved. In terms of core technology research and development, breakthroughs have been made in the system solutions for the "new three" products of photovoltaics, power batteries, and electric vehicles; In terms of information infrastructure construction, China has cultivated more than 340 influential industrial Internet platforms, more than 100 million sets of industrial equipment connected to key platforms, about 4 million service enterprises, and industrial Internet applications covering 49 national economic categories; In terms of talent team building, nearly 500 undergraduate majors in intelligent manufacturing have been released, and comprehensive industry university cooperation and collaborative education in the field of intelligent manufacturing have been carried out. With the deep integration of artificial intelligence and manufacturing, new models and business forms of intelligent manufacturing are constantly moving from "breakthroughs at the point" to "blooming on the surface". Haoyang Environment Co., Ltd. relies on the Inspur Haiyue Industrial Software System to build an integrated data control and cost management platform. Through deep integration of technology and management, it solves the pain points of traditional manufacturing, reduces raw material loss rate and production costs by more than 5%, achieves data accuracy of over 95%, improves production efficiency by 20%, and reduces labor costs by 15%, providing replicable experience for the digital transformation of the environmental protection industry. Intelligent manufacturing promotes the development of industrial production towards distributed, non-standard, and customized directions, thereby achieving large-scale personalized customization. It not only greatly improves production efficiency, but also accurately controls process flow and energy consumption, promoting the green transformation of manufacturing methods. ”Wang Yiming, former deputy director of the Development Research Center of the State Council, said. At the 11th plenary session of the State Council held on March 16th, "accelerating the development of new generation intelligent manufacturing" was listed as a key task that needs to be done well. In Su Bo's view, the key to the "new" generation lies in self-reliance. This means that product development will rely more on virtual simulation, generative design, and digital twins; Manufacturing will accelerate the formation of a closed loop of "perception decision execution feedback"; The factory operation will rely on the factory operating system, industrial software, industrial Internet and computing facilities to achieve full process connectivity; Wait. Su Bo stated that in the future, China will continue to adhere to the main direction of intelligent manufacturing and make every effort to create an upgraded version of intelligent manufacturing that combines virtual and real elements, evolves independently, and is safe and efficient. Strive to achieve basic popularization of digital and networked manufacturing in manufacturing enterprises above designated size by 2030, and make phased progress in innovative research and development of the new generation of intelligent manufacturing; Strive to achieve the basic popularization of digital, networked, and intelligent manufacturing in manufacturing enterprises above designated size by 2035, and lead the world in the application of new generation intelligent manufacturing technology. It should also be noted that China's development of the new generation of intelligent manufacturing still faces many practical obstacles. For example, familiar with technical concepts but not yet deep enough to enter the workshop; The application scenario can be piloted, but it is difficult to replicate and promote; The enterprise has the willingness to transform, but cannot, cannot afford, or dare not transform. Experts say that the underlying reasons behind this are insufficient systematic accumulation of industrial knowledge, scattered industrial data, lack of real connectivity between software models and equipment, and shortcomings in key core technologies and high-end supply. The key to the next step is to focus on the problems, address the shortcomings, and implement policies and measures where they are most needed. ”Su Bo said. Wang Yiming believes that achieving intelligence is an inevitable choice to adapt to the new technological revolution. To implement the "Artificial Intelligence+" initiative and promote the transformation and upgrading of traditional industries empowered by artificial intelligence. Taking intelligent manufacturing as the main direction, we will build intelligent manufacturing units, intelligent production lines, intelligent workshops, and intelligent factories. We will implement the "Industrial Internet Innovation and Development Project", expand the coverage of industrial perception networks, and create massive Internet of Things access capabilities. Promote the construction of industrial Internet identification system and the formulation of standards and specifications, accelerate the promotion of typical application scenarios, and improve the industrial empowerment of industrial Internet. (New Society)