The Third Plenary Session of the 20th Central Committee of the Communist Party of China proposed to improve the system and mechanism for developing new quality productive forces according to local conditions, "strengthen the supply of new fields and new track systems, establish a mechanism for future industrial investment growth, improve policies and governance systems for promoting the development of strategic industries such as new generation information technology, artificial intelligence, aerospace, new energy, new materials, high-end equipment, biomedicine, and quantum technology, and guide the healthy and orderly development of emerging industries. With the deepening development of a new round of technological revolution and industrial transformation, artificial intelligence has become an important engine driving new quality productivity. General Secretary Xi Jinping emphasized that "integrating scientific and technological innovation resources, leading the development of strategic emerging industries and future industries, accelerating the formation of new quality productive forces", and "artificial intelligence is a strategic technology leading this round of technological revolution and industrial transformation, with a strong spillover driving effect of" leading geese ". This year's Government Work Report proposes to deepen the research and development of applications such as big data and artificial intelligence, and carry out the "Artificial Intelligence+" action. Accelerating the iterative and dynamic development of "artificial intelligence+" not only helps to achieve technological changes, but also promotes the deep transformation and upgrading of industries, which is the key to cultivating and forming new quality productivity at present. Driving the technological revolution with "artificial intelligence+" and accelerating the leap of technological level to new quality productivity has the qualitative characteristics of leading a new round of technological revolution. As a new generation of digital technology, "Artificial Intelligence+" takes data, algorithms, and computing power as its core elements, driving the technological revolution to achieve a comprehensive upgrade from isolation to connectivity, from primary to advanced, and from tools to value, demonstrating a technological level beyond the industrial economy era. Data as a new element, constructing new connections. As an important component of new quality productivity, data can not only construct a new connection between market supply and demand, but also serve as a link to promote the value chain linkage of innovative elements such as talent, capital, technology, and management, thereby optimizing resource allocation efficiency. Data elements are deeply integrated into key links in production processes such as research and development design, production manufacturing, and business management, leading traditional production methods to transform into collaborative manufacturing, personalized customization, and data-driven supply chain management. This solves problems such as resource mismatch and low configuration efficiency caused by information asymmetry, achieves data-driven production mode transformation, and improves total factor productivity. Algorithms act as new kernels, generating new knowledge. Algorithms are the key to the innovation and evolution of intelligent technology, becoming the innovation core of new quality productivity. Continuous innovation and breakthroughs in algorithms help create and acquire new knowledge, reshape human knowledge production and thinking. Under the interaction and collaboration of cutting-edge science and technology such as big data, neuroscience, and supercomputing, algorithms exhibit important features such as self-learning, self training, and self optimization, which conform to the advanced productivity quality of high technology, high efficiency, and high quality. Algorithms not only aggregate and iterate at the technical level to achieve machine decision-making through probabilistic models, but also deeply mine and reconstruct at the knowledge level, promoting the leapfrog development of artificial intelligence from perceptual intelligence and cognitive intelligence to decision-making intelligence and autonomous intelligence, continuously cultivating advanced productivity led by innovation. Computing power, as a new carrier, unleashes new value. The effectiveness of new quality productivity depends on the degree of application of new technologies in various industries, and computing power, as the basic carrier for activating new quality productivity, can support the wider and deeper application of new quality productivity and release new value. Computing power has become an important productive force in the digital economy era after heat and electricity, constantly breaking through traditional physical space and extending to digital space, providing strong support for the value release of massive data resources and complex algorithms. We can further utilize computing power for data collection, transmission, calculation, storage, and analysis, coupling data and algorithms to build an organic whole of "artificial intelligence+", continuously improving the depth and breadth of knowledge mining, increasing the economic value and social benefits created by unit investment, and promoting the rapid development of new quality productivity. Using "artificial intelligence+" to trigger organizational change and promote management paradigm shift. "Artificial intelligence+" is a comprehensive technological revolution that affects the overall economic and social development, penetrates from productivity to production relations, reshapes all aspects of the organizational process, and provides a new management paradigm for organizational change. The transition of intelligent technology from organizational to social application is not only reflected in the optimization of organizational production efficiency, but also in the change of social resource allocation methods, further promoting the transformation of management paradigms to better adapt to the development requirements of new quality productivity. Improve production efficiency and expand service scenarios. The business application scenarios of artificial intelligence are constantly expanding, demonstrating enormous application value in key industries such as manufacturing, energy, and services, greatly stimulating the potential for developing new quality productivity. In the manufacturing industry, intelligent technology can achieve automation and refinement of production processes through intelligent analysis and prediction, significantly improving production efficiency and product quality. In the field of energy, intelligent technology can achieve optimal energy allocation and storage by intelligently analyzing grid load and usage demand, and improve energy utilization efficiency. In the service industry, the application of intelligent robots and intelligent customer service systems can not only provide real-time response services, but also bring personalized and intelligent service experiences to consumers, improve service efficiency, and meet the diverse needs of consumers. Reshaping production relations and stimulating subject vitality. Artificial intelligence+can reshape production relations and stimulate the enthusiasm of diverse subjects. Through ubiquitous digital connections, strengthen the interaction and linkage between subjects, break down the boundaries and information barriers of traditional production organizations, accelerate the flexibility, virtualization, and platformization of organizational forms, and enhance the interdependence between subjects. The cooperation between people and organizations is more transparent and efficient, and specialized division of labor is further strengthened, giving rise to new interactive abilities among subjects and building a large-scale socialized cooperation production and service model. This model can improve the flexibility and professionalism of services, promote the mutual promotion of new quality productivity and production relations, and effectively promote the healthy development of the economy and society. Innovative management mode, dynamically responding to the market. The combination of "artificial intelligence+" brings about a shift in management logic under the iteration of new technologies, from passive response from the outside in to active perception from the inside out. Through this shift, managers can keenly capture market dynamics and customer needs, and drive organizational change and innovation. Traditional organizational structures and management processes often rely on human labor and manual operations, while the introduction of intelligent technology endows organizations with the ability to efficiently process data, analyze information, and make precise decisions in real-time, enabling them to proactively discover new business opportunities and market growth points, and gain an advantage in the market. For example, based on supply chain data analysis, inventory management and logistics distribution can be optimized to improve organizational operational efficiency. Leading industrial transformation with "artificial intelligence+" and building an industrial ecosystem, "artificial intelligence+" covers a series of links from basic technology research and development to practical application landing, promoting technological innovation and progress as well as deep industrial transformation and upgrading. Similar to natural ecosystems, industrial ecosystems are committed to building an organic ecosystem where multiple elements such as diverse subjects, abundant resources, and efficient mechanisms interact and promote each other. By continuously enhancing the overall innovation capability of the industry, they form a new quality productivity led by innovation, promote the transformation and upgrading of traditional industries towards high added value, promote industrial structure optimization and sustainable development, and lead the intelligent leap of the industry. Optimize industrial layout and improve resource allocation. The accelerated cultivation of new formats, models, and industries in artificial intelligence is becoming an important lever for shaping new advantages in the development of the digital economy. Artificial Intelligence Plus is not a simple industrial plan, but rather a scientific and rational resource allocation mechanism built through value consensus and mutual cooperation among multiple entities such as government, society, enterprises, and individuals, to achieve overall efficiency improvement in the industry. Specifically, it is to integrate the disorderly and chaotic elements in the industrial ecosystem, so that various innovative resources in the process of industrial development can be allocated more reasonably within the system, thereby improving the overall efficiency of market resource allocation and creating a good industrial environment for the development of new quality productivity. Upgrading industrial intelligence and enhancing added value. The development of new quality productivity requires a modern industrial system that is high-end, intelligent, and green as support, and "artificial intelligence+" is an important strategy to achieve this goal. In the industrial economy era, enterprise organizations mainly pursued large-scale production. The intelligent characteristics of the digital economy era have driven industries to continuously move towards high-end and green development, significantly enhancing their added value and competitiveness. For example, by optimizing energy utilization and reducing environmental pollution, we can help industries achieve green transformation, promote sustainable development, create a healthy innovation ecosystem, and help traditional productivity leap towards more efficient, intelligent, and green new quality productivity. Cross industry integration to achieve ecological synergy. The formation of an ecosystem not only relies on integrated technological innovation, but also requires close cooperation and collaboration between upstream and downstream enterprises in the industrial chain, giving rise to an industrial ecosystem characterized by data sharing and platform openness. As a collection of innovative technologies, "Artificial Intelligence+" promotes information exchange, resource sharing, and industrial integration between different industries with its powerful data processing capabilities, intelligent decision support, and digital platform advantages. We should accelerate the deep integration of technology chain, industry chain, and innovation chain by building an open, shared, and collaborative industrial ecosystem, enhance the overall competitiveness of the industry, and accelerate the formation of new quality productivity driven by artificial intelligence. (New Society)