The recently held 2025 World Manufacturing Conference officially released the "Digital Transformation Capability Level of Manufacturing Industry (2025)" (hereinafter referred to as the "Report"). According to the report, as of the end of June this year, over 60% of enterprises have basically achieved digitalization of their entire business processes. Among them, the digital penetration rate of key business processes such as research and development design and production manufacturing has exceeded 60%, and the digital transformation of China's manufacturing industry is moving from a medium level to a mid to high level. The global economic growth continues to slow down, industry competition is becoming increasingly fierce, and developed countries are taking measures to attract the return of manufacturing. The uncertainty of tariffs and trade policies has brought considerable pressure to China's manufacturing market and supply chain, forcing production costs to rise. ”Li Jiateng, senior engineer of China Industrial Internet Research Institute, said that at the same time, under the guidance of the "dual carbon" goal, the manufacturing industry is also facing the dual pressure of green transformation and cost reduction and efficiency increase, and urgently needs to improve the production mode. In the context of rapid development of new generation information technology, digital transformation is undoubtedly an important path. At the booth of Luoyang Bearing Group Co., Ltd. in Hall 2 of the World Manufacturing Conference, multiple main bearings are neatly displayed. Among them, the CR400 series of axle box bearings for the "Fuxing" high-speed train, which broke the foreign monopoly, attracted many viewers to stop and watch. If manufacturing enterprises want to achieve long-term development, promoting digital transformation is the only way, "said Jiao Yang, Deputy General Manager of the Sales Headquarters of Luozhou Group. Taking the intelligent factory of wind power gearbox bearings as an example, the entire process from design and material selection to production and delivery has been digitized. The thinnest part of the inner ring wall of wind turbine bearings produced by the factory is only 10 millimeters, and the dimensional accuracy is stably controlled within 0.05 millimeters through batch production. Jiao Yang said that compared to traditional production lines, the production efficiency has been improved by about 30%, and the product qualification rate has reached 99.9%. China regards digital transformation as an important path for the development of manufacturing industry, promoting the coordinated development of platforms, enterprises, and governments, gathering multiple resource elements, jointly cultivating typical scenario solutions and precise digital services, and comprehensively improving the digitalization level of the industrial chain. ”Li Jiateng stated that in recent years, special policies such as the "Special Action Plan for Digital Empowerment of Small and Medium sized Enterprises (2025-2027)" and the "Guidelines for Digital Transformation of Small and Medium sized Enterprises" have been successively issued to promote the acceleration of digital transformation of small and medium-sized enterprises. In 2025, the Ministry of Industry and Information Technology will issue the "Reference Guidelines for Scene based and Graph based Promotion of Digital Transformation in Key Industries (2025 Edition)" to accelerate the comprehensive and full chain popularization and application of new generation information technology. At present, China has established a public service platform for the integration of informatization and industrialization, providing evaluation and benchmarking services for over 360000 enterprises, covering all provinces and cities, 41 industrial categories, and 207 medium categories in the country. This has formed a widely covered and representative enterprise sample library, laying the foundation for accurately assessing the current situation and implementing classified policies. The report points out that provinces such as Jiangsu, Shandong, Guangdong, and Anhui have a relatively fast level of integration and development of the two industries, with Jiangsu's integration level exceeding 70.0. As of the end of June this year, the overall development level of the integration of the two industries in China has reached 65.0. Reflected at the enterprise level, digital transformation has gradually achieved large-scale popularization, moving from "point applications" to "system promotion". According to the report, 77.4% of industrial enterprises in China have implemented digital transformation, with over 80% in nine provinces including Jiangsu and Anhui. It is worth mentioning that 61.4% of enterprises have applied industrial cloud platforms, and the development of networking has significantly enhanced cross enterprise business collaboration capabilities. In the five provinces of Shandong, Sichuan, Hubei, Anhui, and Jiangsu, the proportion of enterprises that have achieved industrial chain synergy has exceeded 20%. The comprehensive expansion of networked connections and the creation of a good ecosystem for the entire industrial chain are becoming a reality. China's manufacturing industry is developing from "big" to "strong". Digitization is no longer the patent of a few leading companies, but the 'infrastructure' of the entire industry. Nowadays, in the wave of artificial intelligence development, we are actively combining AI with digital transformation. ”Wang Junrui, Senior Solution Manager of Anhui Telecom Cloud Station, said. It is understood that China Telecom, as the main force of the national team for building a strong network country, a strong technology country, a digital China, and maintaining network security, accurately grasps the development direction of artificial intelligence, promotes the deep integration of artificial intelligence technology innovation and industrial innovation, and promotes the transformation and upgrading of the manufacturing industry towards high-end, intelligent, and green. Li Jiateng stated that with the deepening of a new round of technological revolution and industrial transformation, the great development of artificial intelligence is pushing the digitalization of manufacturing into a new stage of "model driven", and the development of intelligent manufacturing has become an important topic of discussion in the industry. Zhou Ji, academician of the CAE Member and director of the National Strategic Advisory Committee for Building a Powerful Manufacturing Country, said that the development of intelligent manufacturing can be realized in two stages. The first stage is digital transformation, aiming to achieve the basic popularization of digital manufacturing in industrial enterprises nationwide by 2030. The second stage is intelligent upgrading, and by 2035, the new generation of intelligent manufacturing will be basically popularized in industrial enterprises across the country. Currently, artificial intelligence is accelerating the empowerment of various industries, deeply empowering industries such as industry, energy, automotive, education, and healthcare. ”Wang Rui, vice president of Antelope Industrial Internet Co., Ltd., introduced that at the 2025 World Manufacturing Conference, they officially released Antelope Industrial Big Model 3.0, and at the same time launched three agent solutions based on its core technology, Antelope Industrial Agent, Antelope Energy Carbon Agent, and Antelope Digital Marketing Agent Service Platform. In his speech at the opening ceremony of the 2025 World Manufacturing Conference, Liu Liehong, member of the Party Group of the National Development and Reform Commission and Director of the National Data Administration, stated that as a key production factor, data runs through the entire process of research and development design, production and manufacturing, operation and management, marketing, customer service, etc. in the manufacturing industry. High quality datasets have become a new fuel for digital transformation. In the future, manufacturing enterprises need to pay more attention to the development and utilization of data resources, accelerate the construction of high-quality datasets in the industry, and empower the implementation of "artificial intelligence+" in the industry and enterprises. Li Jiateng believes that in order to achieve digitalization in the manufacturing industry, it is necessary to build high-quality datasets to solidify the foundation, break down data silos that integrate information technology, communication technology, control technology, and other technologies, and achieve unified governance. At the same time, the deep level application of artificial intelligence requires both on-site production to promote process optimization and business management to achieve lean production and knowledge accumulation. Therefore, in the future, more compound talents who understand both processes and artificial intelligence will be needed. (New Society)