In recent years, artificial intelligence has increasingly become a strategic focus of great power competition. From a global perspective, major economies view it as a key force shaping the future development pattern. Competition not only revolves around basic "hard power" such as algorithms and computing power, but also increasingly deepens into the competition of industrial application conversion efficiency and penetration breadth. This year's Government Work Report emphasizes the creation of a new form of intelligent economy and the deepening and expansion of "artificial intelligence+". The outline of the 15th Five Year Plan emphasizes the all-round promotion of digital intelligence technology empowerment and explicitly proposes to "seize the high ground of artificial intelligence industry application". The two complement each other and jointly point towards the strategic direction of artificial intelligence development in China. So, why must we seize this high ground? How to carry out systematic planning and effective promotion? Let's start with the profound adjustment of the global technological competition pattern. Currently, the decisive field of artificial intelligence is accelerating from technological breakthroughs in the laboratory to leading applications in the industrial sector. The United States relies on its first mover advantage in basic research and high-end chip fields to accelerate the deep integration of artificial intelligence in key areas such as biomedicine, attempting to build high-tech barriers; The EU, with its strong industrial foundation and rule making capabilities, focuses on intelligent manufacturing and green economy development through human-machine collaboration, seeking differentiation advantages. China has abundant resources in scenarios and data, but if it cannot efficiently transform them into globally competitive industrial advantages, it may face risks of "technological hollowing out" or "application dependence". Therefore, promoting the breakthrough of artificial intelligence from a single point to the full chain penetration and leap, creating industry solutions and benchmark cases with global influence, is a strategic pivot to enhance China's position in the global value chain and avoid being passive in the new international division of labor. Looking at the internal needs of cultivating and strengthening new quality productive forces and promoting high-quality development in China. Artificial intelligence, as a typical general-purpose technology, has strong penetration, synergy, and empowerment effects, and is a key engine driving deep industrial transformation. On the research and development side, artificial intelligence is reshaping the paradigm of drug discovery and material creation, significantly shortening the innovation cycle; On the production side, artificial intelligence promotes the development of smart factories, achieving predictive maintenance and process optimization, and driving the production mode from "scale expansion" to "precision intelligent manufacturing". Implementing the "Artificial Intelligence+" initiative and creating a new form of intelligent economy is precisely to take the lead in making breakthroughs in these key areas that nurture new quality productivity, transforming technological potential into total factor productivity, and shaping new economic growth poles. Furthermore, seizing the high ground of artificial intelligence industry applications is also a solid guarantee for building a strong national security barrier and promoting modernization of governance capabilities. Intelligent intelligence analysis and other technologies are changing traditional forms of security. Smart cities and risk warning systems are significantly improving public safety levels, while AI assisted regulatory decision-making enhances governance accuracy. The outline of the 15th Five Year Plan emphasizes strengthening the integration of artificial intelligence with social governance. Mastering the ability of autonomous, controllable, advanced and reliable artificial intelligence applications, and transforming them into effective governance tools and asymmetric strategic balancing capabilities, is essential for ensuring high-quality development with high-level security. In today's deeply integrated digital, networked, and intelligent world, without the "safety valve" of AI applications, it is difficult to build a strong "firewall" for national security. Clarifying the strategic logic of "why seize" requires exploring the practical path of "how to seize". This is a complex system engineering that requires finding the right direction, focusing on key areas, building strong support, optimizing the environment, and forming a virtuous cycle driven by both technology and application. The primary focus is on building an interactive mechanism that is scenario driven and technology driven. Industrial applications provide real testing grounds and fresh data sources for technological iteration, while technological breakthroughs inject fresh water into the deepening of applications. To break down the barriers between technology research and development and industrial application, and form a fast iteration loop. On the one hand, targeting key common technical problems in industrial applications, organizing elite forces to concentrate on tackling them; On the other hand, it is encouraged to build open and shared industry AI platforms, lower the application threshold for small and medium-sized enterprises, and form a joint force for technological breakthroughs. At the same time, support the construction of innovative application pilot zones in key areas such as intelligent manufacturing and autonomous driving, carry out stress testing and policy innovation, and explore replicable and promotable models and standards. The key is to deepen the "Artificial Intelligence+" initiative and comprehensively promote the empowerment of digital intelligence technology. For empowering the real economy, the key is to focus on the main contradictions and select key breakthroughs in areas with good industrial foundations, strong transformation needs, and wide driving effects. The manufacturing industry is the main battlefield, and we need to deepen the construction of intelligent factories, promote the application of equipment predictive maintenance, intelligent quality inspection, etc., promote the transformation of the manufacturing industry towards high-end, intelligent, and green, and achieve a leap from "Made in China" to "Made in China". Agriculture is the fundamental sector, and it is necessary to vigorously develop smart seed industries, precision operations, and intelligent agricultural machinery to assist in the comprehensive revitalization of rural areas. The service industry is a growth point, and we need to deepen the application of artificial intelligence in financial risk control, smart logistics, digital cultural and creative industries, and cultivate intelligent native new models and formats. Energy transportation is the lifeline, and we should accelerate the construction of smart grids, smart mines, and vehicle road coordination to ensure the safe and efficient operation of the national economy. The foundation lies in cultivating world-class industrial clusters and thriving ecosystems. Relying on innovation hubs such as the Beijing Tianjin Hebei region, the Yangtze River Delta, and the Guangdong Hong Kong Macao Greater Bay Area, cultivate several AI industry clusters with global influence. Support chain owners to take the lead in forming innovation consortia, overcome key challenges in the industry, and break through bottlenecks in the industrial chain. Vigorously cultivate technology transfer institutions and achievement transformation platforms, and smooth the passage from laboratories to production lines. At the same time, we attach great importance to ecological construction, improve open source platform frameworks, high-quality industry datasets, and testing and verification standard systems. The focus is on optimizing the institutional environment and governance system. In terms of data elements, accelerate the construction of basic systems, promote the orderly opening and high-quality supply of public data and industry data. In terms of computing facilities, we will coordinate the layout of intelligent computing centers and build an intensive, green, inclusive, and efficient computing service system. At the regulatory level, explore inclusive and prudent models that adapt to the characteristics of artificial intelligence innovation, accelerate the development of classification and grading management rules for emerging applications such as autonomous driving, and leave enough space for innovation. At the same time, we will adhere to high-level open cooperation, actively integrate into the global innovation network, participate in international rule making, and enhance our own strength in open competition. (Xinhua News Agency) Author: Xiao Hongwei (Director and Researcher of the Policy Simulation Laboratory of the Economic Forecasting Department of the National Information Center of the National Development and Reform Commission)