The 2025 Central Economic Work Conference proposed to deepen and expand "AI " and improve AI governance. The Fourth Plenary Session the 20th CPC Central Committee adopted the "Suggestions of the Central Committee of the Communist Party of China on the Formulation of the 15th Five- Plan for National Economic and Social Development", proposing to seize the commanding heights of AI industry applications and empower thousands of industries in an all-round way. At present, global technology is moving from laboratory exploration to the key stage of large-scale application and deep integration with the industry. It is not only the inevitable requirement to accelerate the construction of a modern system and consolidate and expand the foundation of the real economy, but also the contemporary topic to promote the accelerated formation of new productive forces and shape the new advantages of national competition

Strategic significance: from technological leadership to system dominance
The General Secretary pointed out: "Accelerating the development of new generation of artificial is an important strategic measure for us to win the initiative of global science and technology competition, and an important strategic resource to promote the leapfrog development of China's science and, the optimization and upgrading of industries, and the overall leap of productive forces." At present, the competition in the field of artificial intelligence has gone beyond the simple scope of technology evolved into a systematic game centered on standard formulation, ecological construction and norm shaping. The strategic significance of seizing the commanding heights of artificial intelligence industry applications is mainly reflected in the aspects.
Standard dominance determines the lifeline of the industrial ecology. Standards are the core carrier of industrial ecology dominance Looking back at the history of technological revolutions and industrial transformations, the leaders are all standard setters and exporters. In the age of artificial intelligence, the deep integration of algorithms computing power, data and scenarios has made standards the "underlying architecture" that affects the technical system and industrial order of various industries. The United States proposed in its "Artificial Initiative" released in 2025 to achieve full-chain control of artificial intelligence through the export of "full-stack AI technology packages"; The EU has enacted theArtificial Intelligence Act", which establishes ethical and safety standards for artificial intelligence. For our country, only by seizing the commanding heights of artificial intelligence industry applications, and accelerating construction of a self-supporting standard system in the fields of basic models, data governance, and security assessment, can we build a "regulatory moat" for industrial security break the external technology dependence and rule lock-in.
Deep application is closely related to the transformation efficiency of the real economy. The deep integration of artificial intelligence and the economy is an important support for building a modern industrial system. At present, China's industrial system is in a critical period of digital transformation, and it is urgent to break the problems of resource allocation, process optimization and efficiency improvement through artificial intelligence. On the one hand, artificial intelligence can be deeply embedded in the traditional industrial chain, promoting its intelligent upgrading enhancing the integrity, advancement and security of the industrial system through optimizing factor allocation, reducing operating costs and expanding value space. On the other hand, artificial intelligence has also given birth to number of emerging industries and future industries, and has become a new engine of economic growth. Whether it is the strategic emerging industries such as new generation information technology, new energy, new, or the cutting-edge fields such as humanoid robots, metaverse, quantum technology, and bio-manufacturing, artificial intelligence can be embedded in their technological core, promote the realization of industrialization, scale, and scenario development. More importantly, artificial intelligence can build cross-industry collaborative platforms, break the boundaries between traditional industries, emerging and future industries, and promote the formation of a closed ecology of deep cooperation among the industrial chain, innovation chain and supply chain.
The international competitive pattern highlights strategic urgency The development of global artificial intelligence is increasingly showing the characteristics of "winner takes all", and the competition has extended from market share to a comprehensive game of technology system, industrial and rule discourse power. Once a certain technical framework or ecosystem forms market dependence through the advantage of being the first, it will build a high migration barrier and become the de facto common rules and industry infrastructure, which will have a strong "technological lock-in" effect on the latecomers. At present, China has obvious advantages in algorithm innovation, scenario richness and data resource scale, and has emerged a number of world-class application examples such as intelligent manufacturing and smart cities. However, there are still shortcomings in systematic technical standard, open and collaborative industrial ecology construction, and participation in global artificial intelligence governance rules, which urgently need to be accelerated in order to win the strategic initiative in the fierce international.