The Central Political Bureau meeting held at the end of April proposed to comprehensively implement the "Artificial Intelligence+" action, develop new forms of intelligent economy, and improve artificial intelligence governance. Experts believe that the change in wording from "deepening and expanding" and "deepening implementation" in the past to "comprehensive implementation" signifies that the "AI+" action has shifted from pilot exploration to large-scale implementation, and artificial intelligence (AI) has entered a new stage of large-scale and commercial development. China has entered a period of deep integration of AI industrialization and industrial AI. Through systematic layout, we need to effectively transform the technological and industrial advantages of artificial intelligence into strong increments for high-quality economic development. Systematic deployment "proposes the comprehensive implementation of the" Artificial Intelligence+"action, which means that the top-level design has taken shape, the technological foundation has been basically solidified, and the industrial application conditions are becoming mature. It is no longer limited to pilot projects in individual fields or regions, but has risen to a normalized strategic deployment across the country, industry, and scene. ”Zhu Keli, founding director of the National Research Institute for New Economy, believes that this marks the deep integration of artificial intelligence from the forefront of technology to the overall modern industrial system, and from incremental embellishment to the core engine of high-quality development. The policy focus has also shifted from simply supporting technology research and development to promoting the integration of technology popularization, business model cultivation, scene implementation, and ecological construction, promoting the development of intelligent terminals and AI intelligent agents into various industries, and giving birth to more intelligent native new business forms and models. Zhao Gang, President of the Saizhi Industry Research Institute, analyzed that this is the result of multiple forces such as rapid iteration of AI technology, comprehensive popularization of applications, and deep development of industries, marking that "artificial intelligence+" is becoming a new engine for the construction of China's modern industrial system. From artificial intelligence big models, inference models, intelligent agents to embodied intelligent agents, artificial intelligence technology accelerates iteration, setting off a new wave of technology every three months. At the same time, the application cost of AI technology continues to decrease, and the model cost has dropped from an average of $60 per million keywords at the beginning of 2022 to less than $1, laying the foundation for the large-scale application of artificial intelligence technology. The comprehensive popularization of artificial intelligence applications. High level and low-cost AI technology has lowered the threshold for AI usage and stimulated the demand for AI applications in various industries and fields. Personal users commonly use large models for intelligent question answering in their daily lives, while enterprise users widely use large models for marketing planning, program design, and customer service in their work. According to data from research institutions, there are 440 million monthly active users of AI native apps in China, with an average daily usage of about 14 trillion yuan in keywords and tones. 93% of domestic workplace respondents use AI tools, far higher than the global average of 58%. The implementation of the "Artificial Intelligence+" initiative has also accelerated the development of China's intelligent native industry. The core industry of artificial intelligence has a scale of over 1.2 trillion yuan, cultivating a group of benchmark enterprises in new formats such as intelligent computing power, large models, high-quality dataset construction, and embodied intelligence. It has also comprehensively promoted the development of new digital formats such as intelligent manufacturing, intelligent driving, and low altitude economy, guiding capital to continuously invest in AI scene value creation, improving total factor productivity, and cultivating and strengthening new quality productivity. Jiangqi Group recently teamed up with Huawei to release the "Maisite" CV quality inspection big model for multi scenario applications, aiming to break through the efficiency bottleneck of traditional manual quality inspection and the limited generalization ability of small models. One model is universal for multiple scenarios, enabling production on a full platform to improve yield and productivity. Guo Zhenxing, Vice President of Huawei's China Government and Enterprise Business, said that this year is a year of leap in "industry+AI". The value of AI can be quantified, and enterprises can directly calculate the benefits brought by AI; The willingness of users to invest has increased, and multiple industries have made AI infrastructure construction their top priority; The AI scenario based solution can be replicated, and benchmark applications of leading enterprises in the industry have been implemented and commercial closed loops have been achieved. Inspur Cloud has launched a petrochemical industry solution based on the "dual factory" model, helping enterprises shorten the time from risk identification to disposal by about 30%, and significantly improve the equipment operation risk identification rate. By constructing a high simulation shooting range environment and using AI driven front-end detection of system vulnerabilities, the accuracy of predictive maintenance warning has been improved by about 80%. By using AI native development platforms to produce intelligent agents, business personnel can become creators of scene intelligence and independently create intelligent agent applications. The delivery cycle of a single intelligent agent has been reduced from 2 months to 1 week, greatly improving efficiency. Xiao Xue, Chief Engineer of Inspur Group and Chairman of Inspur Cloud, believes that the comprehensive implementation of the "Artificial Intelligence+" initiative will further highlight its systematic empowerment of various industries. Artificial intelligence+"means a deep coupling between technology and industry, which must be rooted in the fertile soil of the industry and serve the needs of entities. It needs to rely on China's complete industrial system and rich application scenarios to accelerate the landing in industrial manufacturing, agricultural production and other fields. China's artificial intelligence has achieved commercial and large-scale applications in key areas such as livelihood services, intelligent manufacturing, consumer upgrading, and smart cities, forming mature application models and market scales. "The large-scale commercial application of AI requires three basic conditions, namely, a good digital foundation, rich data resources, and high cost of knowledge services. At present, the Internet, finance, high-end manufacturing, medical and other key fields can meet these conditions, and the large-scale commercial application of AI is good," Zhao Gang said. With the development of AI moving from "perception intelligence" to "execution intelligence", regulatory compliance, safety and controllability have become important prerequisites for the landing of intelligent agents. To coordinate the development and security of artificial intelligence, we must adhere to the principle of development first, security as the bottom, synchronous governance, inclusiveness and prudence. While unleashing innovation vitality, we must also build a strong risk defense line and form a new paradigm of resonance between development and governance. Xiao Xue believes that security is not a post fix, but a native component of the entire R&D process. Security requirements should be embedded throughout the entire lifecycle of AI R&D, training, deployment, and application, building an "immune system" of "endogenous security+dynamic protection+emergency response". Zhao Gang stated that to balance development and security, and strengthen the governance of artificial intelligence, efforts should be made from three aspects: improving systems, promoting development, and ensuring security. Building an AI governance system to balance technological innovation and social risks; Promote innovation in artificial intelligence technology and industrial development, encourage open application scenarios, and ensure that AI governance serves economic growth and social progress; Continuously improve AI governance methods, strengthen AI responsibility identification, and ensure that AI is always safe, reliable, controllable, and developing towards goodness. Zhu Keli believes that firstly, we should adhere to empowering the real economy as the main line, orderly open up access to application scenarios, encourage the accelerated landing of intelligent terminals and AI agents, and provide space for technological innovation and soil for industrial growth. Secondly, we will improve the hierarchical and classified governance framework, relax supervision and encourage popularization of mature applications, strictly adhere to the safety bottom line in cutting-edge fields such as generative AI and general big models, improve rules for algorithm filing, content review, data compliance, etc., and delineate ethical and legal boundaries. At the same time, we will strengthen the use of technology to govern the internet and AI, establish an intelligent risk monitoring and early warning system, and detect and handle risks such as algorithm discrimination, data leakage, and false generation early. We should also improve the cross departmental collaborative supervision mechanism, taking into account both rule building and industry self-discipline. Allowing artificial intelligence to grow healthily within a controllable, manageable, and usable framework not only becomes a new driving force for economic growth, but also safeguards the bottom line of social and industrial security. ”Zhu Keli said. (Looking into the New Era)