The emergence of new quality productivity, as a qualitative transformation in the development of productivity, reflects the fundamental changes in traditional production methods and relations brought about by the latest generation of information technologies such as artificial intelligence (AI), big data, and cloud computing. The qualitative reshaping of productivity by AI is prominently manifested in the three essential elements of productivity: laborers, means of labor, and labor objects. This includes enhancing the labor capacity of workers, leading the intelligent and digital innovation of means of labor, and expanding the scope and boundaries of labor objects. As the core driving force of a new round of industrial revolution, AI promotes the formation of new quality productivity from micro, meso, and macro levels. At the micro level of enterprises, AI drives the demand for labor towards a more skill-intensive "intellectualization" through the substitution effect of labor elements, empowers enterprises' intelligent manufacturing capabilities with production synergy of human-machine interaction, and optimizes resource allocation efficiency through intelligent operation of automated production. At the meso level of the industry, AI enables the multiplier growth of digital emerging industries, promotes the deep integration of digital and real economies, and restructures intelligent industrial and innovation chains to facilitate industrial transformation and upgrade, achieving an intelligent advancement of the industrial structure. At the macro level of the nation, the accelerated development and application of AI technologies empower the construction of the national governance system, promote precision in social governance, scientification of government decision-making, and efficiency of public services, forming a new type of production relations compatible with new quality productivity and realizing the intelligent transformation of national governance. Under the new circumstances of the accelerated evolution of generative AI technologies, China should further hasten the formation of new quality productivity driven by AI. Firstly, insist on technological self-innovation to optimize production factors with AI. Enhance the AI talent training mechanism to cultivate highly skilled new-type laborers; improve the innovation capability in AI scenarios to promote the widespread application of technological innovations; and accelerate the breakthrough in key AI technologies to fully activate the potential of data elements' multiplier effect. Secondly, accelerate the deep integration of digital and real economies to comprehensively empower the modern industrial system with AI. Promote the intelligent transformation of traditional industries to achieve iterative upgrading of infrastructure connectivity capabilities; cultivate and strengthen strategic emerging industries to build an AI industrial ecosystem; explore pioneering reforms to proactively layout future industries. Thirdly, establish and improve the AI governance system to enhance the quality and efficiency of the national innovation system. Drive the intelligent transformation of national governance with the construction of digital government; promote the quality and efficiency improvement of the market economy system with intelligent empowerment; enhance the efficacy of the national innovation system with intelligent development.