When intelligent connected vehicles drive into the complex road conditions of Yizhuang, Beijing, when industrial models are debugging production lines in Shenzhen factories, and when embodied intelligent robots can perform yangko dance on CCTV Spring Festival Gala and conduct independent inspections in parks and workshops, people find that a series of breakthrough innovations such as artificial intelligence models are increasingly moving from laboratories to real scenarios. The Central Economic Work Conference proposed to "lead the development of new quality productive forces with technological innovation" and first proposed to "carry out large-scale application demonstration actions of new technologies, new products, and new scenarios", which precisely reveals the profound transformation of the paradigm of technological innovation - scenarios have become a new key element driving the development of productive forces after land, capital, technology, talent, and data, and scenario driven innovation has also become a new paradigm and opportunity to accelerate the emergence of innovation and promote high-quality development. So, what exactly is scenario driven innovation? What is the difference between technology driven and demand driven innovation that we are familiar with in the past? How can "new scenarios" become "accelerators" for innovation leading the development of new quality productivity? As the name suggests, a scenario is a complex and ever-changing real world full of infinite possibilities. To develop new quality productivity according to local conditions, the key lies in accurately addressing diverse practical scenarios. Scenario driven innovation is the process of driving the organic synergy and diversified application, iteration, and innovation transition of new technologies, new products, and environmental elements through scenarios as carriers and strategies as guidance. Such as intelligent transportation and unmanned mining, it is necessary to simultaneously solve problems such as environmental perception, 5G communication, device IoT, autonomous driving, data integration, and safety supervision. It is difficult to achieve them with a single technology or innovation subject, but requires joint creation by the government, enterprises, universities, and users to achieve multi technology "group attack", which belongs to the complex system innovation of "scenario traction technology integration system adaptation". In contrast, technology driven innovation belongs to the logic of research and development before transformation, which may pose risks such as "no one uses the results" and "difficult to transform", easily resulting in "two skins" of technology and economy. Demand driven innovation emphasizes providing solutions or improving technologies directly based on user needs. This approach has clear innovation requirements and a high success rate, but it is easily limited to users' explicit and superficial needs, leading to blind conformity and "internal competition". Scenario driven innovation emphasizes that technological innovation is no longer about "working in isolation" and "talking on paper", but rather shifting from "what I can do" to "how the world needs me to evolve". Entering into real, complex, and dynamic scenarios from different dimensions such as users, organizations, and industries, exploring the real problems and needs of economic development for reform and innovation can not only promote the precise and rapid transformation of new technologies and products into real productivity, but also identify innovative opportunities that will emerge in future scenarios, accelerate cutting-edge disruptive innovation, and cultivate future industries. This way of 'learning how to swim while swimming' is becoming the most down-to-earth innovation rule in the AI era. In the era of digital civilization where everything is interconnected, the "new scenarios" that carry real needs, technological integration, and institutional innovation are becoming "nurseries" for cultivating future industries and "experimental fields" for reconstructing competitive advantages. For example, Beijing has established a unified platform for publishing application scenarios throughout the city and a mechanism for coordinating the entire process, supporting the validation, application, and iterative innovation of new technologies and products such as artificial intelligence through scenario openness and scenario investment; Guangdong is accelerating the construction of a "scenario technology industry" collaborative ecosystem, leading the cultivation of future industries through scenario demonstrations; Shanghai launches heterogeneous humanoid robot training ground to accelerate breakthroughs in humanoid robot technology through the integration of virtual and real scenes; Hefei, Anhui Province, focuses on building a "city of comprehensive scene innovation" and promoting the demonstration and application of new technologies such as autonomous driving and quantum technology; wait. Although various regions have gradually joined the "championship" of scene driven innovation, they also face some difficulties. One is that there is an "island effect" in the opening of scenarios, especially in public and manufacturing scenarios, which hinders the large-scale application and iterative breakthroughs of new technologies such as embodied intelligence; Secondly, there is a lack of "fault tolerance mechanism" in scenario verification, and new technology products are easily constrained by existing standards. The risk sharing mechanism for scenario co creation is not yet sound; Thirdly, the promotion of scenarios encounters "institutional lag", such as the lag in institutional legislation for autonomous driving and low altitude economy compared to technological development, and the urgent need to establish and improve ethical norms for the large-scale application of disruptive technologies such as brain computer interfaces. Currently, scenario driven innovation is becoming a new field for major countries to accelerate technological breakthroughs and games. China has the world's richest application scenarios and the most complete industrial system. If it can demonstrate the large-scale application of new technologies, products, and scenarios, and make good use of these valuable resources, it will surely stimulate the multiplier effect of the development of new quality productivity. This is not only a response to the technological revolution led by artificial intelligence, but also a strategic choice to seize the initiative in development. To address this, it is necessary to grasp innovation in the following three dimensions. Establish a scenario driven 'innovation accelerator'. Targeting key scenarios in the construction of a strong technology and manufacturing country, we can consider establishing a national scenario map database to incorporate scenario resources into the management of new production factors. Explore and promote the construction of urban super scenario laboratories, establish large-scale scenario verification platforms in fields such as smart cities, green low-carbon, and embodied intelligence, and provide a "real-world testing ground" for innovative entities. Suggest implementing a major demonstration project of scenario driven innovation, applying the new paradigm of "human machine field" tripartite collaboration, and comprehensively improving the overall efficiency of the innovation system. Build an ecosystem empowered by scenarios. We should not only support user enterprises to lead the formation of scenario driven innovation consortia, achieve risk sharing and benefit sharing, but also explore and promote "scenario innovation vouchers" and support small and medium-sized enterprises to apply for scenario verification subsidies. More importantly, support the establishment of scene promotion centers, scene laboratories, etc. in various regions, carry out scene driven innovation competitions, and promote more specialized institutions and talents to engage in scene mining, pricing, matching, investment, operation, and ecological construction. Improve the 'institutional adapter' for scenario driven innovation. Strengthen theoretical research on scenario driven innovation and future industrial development, especially in developing leading strategies, technological research and institutional innovation layouts for future scenarios such as super intelligence, bioeconomy, deep space, deep-sea exploration and development. Develop scenario standards for emerging fields such as intelligent connected vehicles and low altitude economy, explore scenario fault tolerance mechanisms, and stimulate the vitality and motivation of the whole society to explore new scenarios and accelerate innovation. (New Society)