国泰海通｜计算机：制度闭环叠加AI催化，迎接数据要素“价值释放年”

Core Insights - The article emphasizes that 2026 is designated as the "Year of Data Factor Value Release," aiming to enhance data flow and resource allocation channels, thereby promoting the integration of data factors into economic value creation [1] - The establishment of a closed-loop system for data factor policies has accelerated since 2024, transitioning from top-level design to practical implementation, which lays a solid foundation for the industrialization of data factors [1] Summary by Sections Data Factor Value Release - The national data work conference held on December 29-30, 2025, outlined strategies to clarify the roles of data circulation service institutions and enhance the efficiency of data transaction services, aiming to foster a vibrant data market ecosystem [1] AI Application Demand - The demand for AI applications is creating a significant supply gap in the data market, with daily token consumption for AI applications in China skyrocketing from 100 billion at the beginning of 2024 to over 30 trillion by the end of June 2025, reflecting a growth of over 300 times in just a year and a half [2] - The article suggests that the combination of a closed-loop system and AI catalysis will likely accelerate the release of data factor value and the flourishing of the industry in 2026, recommending attention to various segments of the data industry chain, including data supply, transaction circulation, application development, service, security, computing power, and network infrastructure [2]