Technological progress is the key to lowering the threshold for the application of artificial intelligence. This requires increasing research and development investment, strengthening independent research and development capabilities, and achieving more breakthroughs in key areas such as intelligent chips and operating systems. Consolidate the technological foundation of computing power, algorithms, data, etc., and cultivate several general and industry models. The Ministry of Industry and Information Technology recently released a list of typical application cases of artificial intelligence empowering new industrialization, with 151 cases listed. This is not only to play a leading role in case demonstration, but also to guide local governments and enterprises to increase policy, funding, and project support for typical application cases, promote the application and promotion of artificial intelligence in new industrialization, and accelerate the formation of new quality productivity. As an important driving force for new industrialization, artificial intelligence is a strategic technology that leads a new round of technological revolution and industrial transformation. It is also the most widely used key common technology with strong spillover effects. The Central Economic Work Conference emphasizes the implementation of the "Artificial Intelligence+" initiative, which aims to promote the deep integration of artificial intelligence technology with various industries. Due to its extensive penetration, substitutability, synergy, and innovation, artificial intelligence is deeply integrated into various aspects of the manufacturing industry, which can enhance total factor productivity, reshape the industrial technology system, production mode, and industrial form, and promote the transformation and upgrading of the manufacturing industry. China's AI industry has a good foundation for enabling new industrialization. At present, the scale of China's AI core industry is close to 600 billion yuan, and there are more than 4500 related enterprises. A relatively comprehensive AI industry system has been initially established, and the industrial chain covers the upstream and downstream key links such as chips, algorithms, data, platforms, and applications. Innovative achievements such as intelligent chips and universal large models are emerging at an accelerated pace, and intelligent infrastructure is constantly being strengthened. The construction of digital workshops and smart factories is accelerating, forming a modern and intelligent industrial system and promoting the transformation of traditional productivity to new quality productivity. Artificial intelligence is empowering new industrialization and moving towards reality. The application scenarios of artificial intelligence in the industrial field are constantly expanding, and accelerating its penetration into the production and manufacturing process from the initial stages of research and development design, operation management, marketing services, etc., promoting the manufacturing industry to move towards a new stage of comprehensive and deep level intelligent transformation and upgrading. The specialized intelligent applications represented by traditional small models are gradually maturing, while the general intelligent applications represented by large models are in the initial exploration stage. The industry application scenarios are constantly enriching and innovating, profoundly changing the manufacturing process and research and development mode, and giving birth to new products and forms. This is an important direction and significant opportunity for China's industry to grow from large to strong and achieve overtaking on the curve. Artificial intelligence empowers new industrialization, and there is a situation where one end is hot and the other is cold at the supply and demand ends. From the supply side, artificial intelligence technology innovation is active, with technology, algorithms, models, and solutions constantly iterating and upgrading. Enterprises regard the industrial sector as an important market for the landing of artificial intelligence applications; From the demand side, the overall willingness to apply artificial intelligence technology varies greatly. Large enterprises have the resources and capabilities, while many small and medium-sized enterprises have low enthusiasm and degree of application due to lack of money, manpower, and technology. This has led to artificial intelligence technology being hot on the supply side and cold on the demand side, manifested as multiple landing scenarios in advanced manufacturing industries, difficulty in promoting general manufacturing industries, better landing of top enterprises, and a wait-and-see attitude among many small and medium-sized manufacturing enterprises. To further empower industry with artificial intelligence, efforts need to be made to lower its application threshold. Industrial scenarios have characteristics such as diversity and complexity, high precision requirements, low fault tolerance, and significant differences in requirements among different segmented industries. It is necessary to improve the professionalism and reliability of artificial intelligence technology and launch more suitable and universal products and solutions for different industries and enterprises. Industry development, standards come first. The Artificial Intelligence Standardization Technical Committee of the Ministry of Industry and Information Technology was recently established, mainly responsible for the formulation and revision of industry standards in the fields of artificial intelligence evaluation and testing, operation and maintenance. It will help to form a unified industry standard and break down technical barriers. Technological progress is the key to lowering the threshold for the application of artificial intelligence. This requires increasing research and development investment, strengthening independent research and development capabilities, and achieving more breakthroughs in key areas such as intelligent chips and operating systems. Consolidate the technological foundation of computing power, algorithms, data, etc., and cultivate several general and industry models. Vigorously develop intelligent products, promote intelligent software applications, and promote the upgrading of consumer terminals such as home appliances and mobile phones to strong intelligence. Better leverage the innovative role of enterprises, encourage industry university research cooperation, and support leading enterprises in building typical benchmarks for AI enabled new industrialization; We will also establish artificial intelligence infrastructure to serve small and medium-sized innovative enterprises, lower the threshold for their participation in the artificial intelligence market, and form a diverse market competition pattern. (New Society)