Nowadays, artificial intelligence (AI) is no longer just a tool or task empowerment tool, but has become the core of building a new economic system. ”Recently, Zhang Jiayin, a long-term associate professor at the School of Economics and Management of Tsinghua University and director of the Interactive Technology Industry Research Center, stated in an interview with Economic Daily that China is promoting the penetration of AI throughout the entire industry chain, which will profoundly reconstruct the past economic form, change the international division of labor pattern, and promote international cooperation and innovation. This year's Government Work Report has mentioned artificial intelligence multiple times and for the first time proposed "creating a new form of intelligent economy", which has received widespread attention. Zhang Jiayin believes that this means that China's policy positioning for AI will be further enhanced, and it will have multiple guiding effects on the development of AI in the next five years. Firstly, the focus of AI development in the next five years will shift from enhancing technological capabilities to deep industrial integration, emphasizing the use and embedding to achieve large-scale implementation, with the aim of transforming technological advantages into substantial economic development results. In this process, the deep integration of AI with the real economy will form a key driving force for the development of new quality productivity. Secondly, intelligent agents and terminals are important carriers for the next stage of technology diffusion, used to undertake technological capabilities and promote their application and expansion in a wider range. The development of AI cannot be separated from powerful computing power support. This year's Government Work Report proposes to implement new infrastructure projects such as ultra large scale intelligent computing clusters and computer collaboration, and strengthen national integrated computing power monitoring and scheduling. Will this series of measures have an impact on the competitive landscape of global AI models? Zhang Jiayin gave a positive answer. She stated that the development and application of AI are no longer solely dependent on the technical capabilities of a single enterprise, but are increasingly influenced by factors such as infrastructure supply capacity, computing power costs, and industrial organizational efficiency. The country's promotion of centralized computing power and scheduling optimization will help domestic enterprises reduce costs and improve efficiency in large-scale model training, data processing, and application development, thereby enhancing international competitiveness. This means that global AI competition will no longer be just a competition between algorithms and models themselves, but will be more reflected in the comprehensive competition of infrastructure capabilities, computing power cost management, and industrial collaboration organization capabilities. The layout and strategy of enterprises in the field of large models in various countries will also be significantly affected by changes in the computing power supply pattern. ”Zhang Jiayin said. Although competition among countries is inevitable, cooperation is the fundamental direction. The Government Work Report clearly proposes to support the construction of open source communities for artificial intelligence and promote the prosperity of the open source ecosystem. In Zhang Jiayin's view, open source provides a low threshold and sustainable cooperation mechanism for technology exchange and collaborative innovation among different countries and regions. Through open source communities, global developers can share experiences, optimize interfaces, and promote collaborative development within an open framework, which is conducive to enhancing mutual learning and promoting the gradual formation of standard consensus and interoperability foundations. ”Zhang Jiayin pointed out that in this process, by continuously contributing high-quality projects, actively participating in community governance and rule building, China can not only enhance its own technological adaptation capabilities, but also play a more active role in global AI governance and standard coordination. ”When it comes to potential risks in development and cooperation, Zhang Jiayin further emphasized that "AI risk prevention and global governance require coordinated efforts from all countries and entities. In this process, the development of unified standards is crucial. Whether it's intelligent agents like OpenClaw or other large models, they are currently being touched and used by more and more C-end users. Ordinary users often do not understand the operating principles of AI models, let alone the risks involved in their use. At present, there is no unified industry standard in the field of AI, and open source projects also lack clear and unified norms. Each enterprise only operates according to its own mode, so there are high risks in data security and other aspects. Meanwhile, drawing on past experiences of technological change, without intervention, AI may continue to widen the digital divide. ”Zhang Jiayin said. To address the above issues, Zhang Jiayin believes that it is necessary to not only design top-level policies, but also incorporate relevant considerations into enterprise R&D and strategic planning, and carry out governance at multiple levels. At the same time, the international community should strengthen communication and exchange, taking the development of open source communities as an opportunity to promote two-way learning and communication. (Looking into the New Era)