As the core driving force of the new round of technological revolution and industrial transformation, artificial intelligence is penetrating into various fields of the economy and society with unprecedented breadth, depth, and speed, giving birth to a new economic paradigm characterized by data-driven and intelligent leadership. The exponential driving effect it exhibits is far beyond the linear superposition of traditional technologies. By systematically reshaping production factors, industrial structure, and governance models, it has become the most active source of new quality productivity and a strategic pivot for China to seize the high ground and shape new advantages in global technology industry competition. The exponential effect of "artificial intelligence+" injects surging momentum into economic growth, which is essentially the complex synergy and integration innovation of new production factors such as data, algorithms, and computing power with traditional factors at a higher dimension. This integration, through empowerment, optimization, reconstruction, and creation, creates a cumulative and multiplier effect at the micro, meso, and macro levels, jointly building a strong endogenous driving force for economic growth. Firstly, reshape the cornerstone of industrial efficiency and solidify the micro foundation of growth. At the micro level, the core role of "artificial intelligence+" is to trigger a profound "efficiency revolution" and significantly improve total factor productivity. One is to drive the manufacturing industry towards a new paradigm of "smart manufacturing". Artificial intelligence+is driving the manufacturing industry to surpass automation and enter a new stage of intelligence characterized by the integration of perception, decision-making, and execution. Industrial Internet and digital twin technology make it possible to simulate, optimize and predict the whole production process. Practice has proven that AI visual inspection systems can reduce the missed detection rate to almost zero; AI algorithms optimize global supply chains, significantly improving inventory turnover and reducing logistics costs. This transition from "manufacturing" to "intelligent manufacturing" is driving China's manufacturing industry to continue to climb up the global value chain. The second is to lead agricultural production to achieve breakthroughs in precision. AI technology is effectively breaking through the uncertainty in agricultural production, transforming "experience dependence" into "data-driven". Through intelligent breeding, remote sensing monitoring, precision irrigation and other technologies, precise management of agricultural production processes is achieved, reducing resource input while improving land productivity, and building a solid "digital dam" to ensure national food security. The third is to promote the upgrading of the service industry towards "personalization and inclusiveness". In fields such as finance, healthcare, and education, AI is restructuring the service supply model. Intelligent investment advisors have expanded the boundaries of wealth management services; The AI assisted diagnostic system has effectively improved the homogenization level of diagnosis and treatment in grassroots medical institutions; Personalized learning platforms provide a technological path for achieving large-scale personalized teaching. These applications have not only improved service efficiency, but also spawned new consumption growth points. Secondly, it will stimulate the emergence of new business clusters and expand the medium growth space. From a meso industry perspective, "Artificial Intelligence+" is not only an efficiency tool, but also a powerful force for "restructuring" the industrial ecosystem, giving rise to new growth poles. One is the explosive growth of AI native business models. With generative artificial intelligence at its core, AIGC, AI programming assistants, digital employees, and other "smart native" new business models are reshaping content creation, software development, and business processes. These formats are not improvements to traditional models, but rather new forms of productivity that have grown from the bottom of technology, forming the most dynamic part of the digital economy and expected to give rise to trillion dollar new markets. The second is the deep activation of the value of the data element market. The flourishing development of AI has transformed data from static records to core strategic resources that require active management and trading. A specialized data service industry chain has emerged, and the activity of national level data exchanges marks the acceleration of data from resource utilization to assetization. The construction and opening of high-quality databases have become key infrastructure for enhancing the competitiveness of national AI. The third is the strategic driving force of intelligent computing infrastructure. The huge demand for computing power in AI has made it a fundamental resource like electricity, directly driving the development of the entire industry chain from AI chips to intelligent computing centers and high-speed networks. The "East Calculation West Calculation" project aims to build a nationwide integrated and efficient computing power supply system. The emergence of emerging business models such as computing power leasing and model as a service has formed a virtuous cycle of "using construction to promote use, and using to drive construction". Finally, optimize the efficiency of macro governance and unleash the dividends of the growth system. At the macro level, 'artificial intelligence+' systematically enhances the operational efficiency and resilience of the economic system by empowering government decision-making, strengthening risk prevention and control, and stimulating social innovation. One is to empower the scientific and forward-looking macroeconomic decision-making. AI can deeply mine high-frequency data such as electricity and transportation, build more sensitive economic "forecasters", provide accurate basis for macroeconomic regulation, and promote the transformation of economic governance from "post response" to "pre prediction and precise intervention". The second is to build a "resilient protective net" for the operation of the economy and society. In fields such as finance, public health, and urban safety, AI models can build a multi-level, full cycle risk identification and disposal system. For example, AI can improve the accuracy of identifying financial fraud transactions to over 95%, and intelligent inspections can double the efficiency of identifying urban security risks, significantly enhancing the resilience of social development. The third is to create a universal ecosystem of "mass entrepreneurship and innovation". The popularity of open-source AI frameworks and tools has greatly lowered the threshold for technological entrepreneurship, allowing innovation to spread to a large number of small and medium-sized enterprises and individual developers. Extensive AI skills training is also helping to transform the labor force structure and reserve valuable human capital for the intelligent economy. Policy Suggestions for Empowering Economic Growth with "Artificial Intelligence+" In the face of the historic opportunities brought by "Artificial Intelligence+", we must base ourselves on our advantages, adhere to the principles of "encouraging innovation, being inclusive and cautious, holding the bottom line, and empowering development", and build a policy ecology that can fully stimulate its exponential effect. Firstly, establish a solid foundation support system that is independent, controllable, advanced, and applicable. A solid foundation of technology and facilities is the soil for the vigorous growth of "artificial intelligence+". One is to concentrate efforts on breaking through key core technological bottlenecks. Give full play to the advantages of the new national system, focus on weak links such as AI framework, high-end chips, and basic theories, establish national level major science and technology projects, promote the "unveiling and leading" mechanism, and strive to achieve basic independent and controllable basic layer technology. At the same time, forward-looking research is being conducted in cutting-edge fields such as AI, quantum computing, and 6G. The second is to build a nationwide integrated, green and inclusive intelligent computing power network. Improve the collaborative mechanism of the "East West Calculation" project and promote efficient scheduling of computing power resources. Encourage the construction of green and low-carbon intelligent computing centers. Explore the establishment of a universal computing power supply mechanism for small and medium-sized enterprises and research institutions, effectively reducing the cost of computing power usage for innovation entities. The third is to cultivate a standardized, orderly, and efficiently flowing market for data elements. Accelerate the establishment of a graded, classified, and open sharing system for government and public data. Support the construction of high-quality industry databases, accelerate the development of national standards for data ownership, trading, security, and other aspects, cultivate specialized data service providers, and truly make data "available, flowing, and used well". Secondly, expand the application scenario space of deep integration and value leadership. Rich application scenarios are the ultimate battlefield for technological iteration and value realization. One is to implement the "Nesting and Attracting Phoenixes" plan for expanding the "AI+" scenario. Regularly release a list of benchmark application scenarios around national strategic needs such as manufacturing transformation and rural revitalization. Select the optimal solution through the "horse racing" mechanism and provide technological transformation subsidies or tax deductions for demonstration projects, with a focus on supporting small and medium-sized enterprises in AI transformation. The second is to establish a promotion and diffusion mechanism for benchmark cases that "lead by example". Establish a national best practice case library and promote it through organizing on-site meetings, training sessions, and other forms. Give full play to the policy function of government procurement, prioritize the procurement of domestic AI products and solutions, and provide early application markets for new technologies. The third is to cultivate an open, collaborative, and dynamic industrial innovation ecosystem. Increase support for domestically led open-source communities. Construct a batch of AI specialized incubators and provide full chain services. Incorporate AI general education and skills training into the national education system to cultivate "AI+X" composite talents for the era of intelligent economy. Thirdly, build a modern governance framework that is secure, trustworthy, agile, and flexible. Development and security are two wings of the same body, and must be promoted synchronously to ensure the stable and far-reaching development of "artificial intelligence+". One is to accelerate the construction of a system of laws, regulations, and standard specifications. Accelerate the specialized legislation on artificial intelligence and clarify the rights, responsibilities, and interests of all parties involved. Establish a national AI ethics committee to set ethical "red lines" for technology research and development applications. Establish a safety testing and certification standard system covering the entire lifecycle of AI products. The second is to explore and implement an agile, flexible, and risk graded regulatory model. Establish an adaptive governance framework based on the fast iteration of AI technology. Pilot "regulatory sandboxes" in specific fields such as finance and healthcare to provide a safe trial and error space for innovation. Utilize regulatory technology to enhance the precision and efficiency of supervision. The third is to deeply participate in and actively lead global cooperation in artificial intelligence governance. Propose China's plan within multilateral frameworks such as the United Nations and G20, and promote the formation of a broad international consensus. Strengthen multilateral dialogue and cooperation in areas such as cross-border data and AI ethics, support domestic enterprises to participate in international standard setting, and enhance China's voice in global AI governance. (New Society)