刘烈宏：以Token计费为基础的新型商业逻辑正在加速演进｜金融与科技

Core Viewpoint - The Chinese government emphasizes the importance of artificial intelligence (AI) development, aiming to integrate AI into various industries and enhance data resource utilization, with the AI industry expected to exceed 10 trillion yuan by the end of the 14th Five-Year Plan [4]. Group 1: AI Infrastructure Development - The "East Data West Computing" project optimizes data center construction by guiding computing demand from the east to the west, with a total computing power of 159 million PFlops expected by the end of 2025, where eight national hubs will account for over 80% of this capacity [6]. - The "Computing and Electricity Coordination" initiative aims to integrate computing infrastructure with the power system, promoting a sustainable cycle of resource allocation, with a target of 80% green electricity usage in new computing facilities by 2024 [7]. - The establishment of a national integrated computing network is underway, facilitating efficient scheduling and application of computing resources across the country, which is a key requirement for the 14th Five-Year Plan [8]. Group 2: AI Evolution and Economic Impact - AI is transitioning from dialogue to decision-making execution, with applications like OpenClaw driving explosive growth in large model applications, highlighting the need for robust data security measures [6][9]. - The integration of AI with various industries is crucial for transforming technological potential into developmental momentum, with high-quality industry-specific data sets becoming key to model effectiveness [9]. - The emergence of embodied intelligence is creating new demands for data, as AI integrates with robotics and sensors to perform complex tasks in specific industrial scenarios [9]. Group 3: Tokenization and New Business Models - Tokens are becoming a key unit of value in the AI era, facilitating the connection between technology supply and commercial demand, with daily token usage expected to rise from 100 billion to 100 trillion by the end of 2025 [10]. - The rapid increase in token usage indicates a developing market for high-quality data, establishing a positive cycle of data supply and value release [10]. Group 4: Data and AI Governance - The integration of AI into production and daily life raises concerns about data security and compliance, necessitating collaborative efforts among AI providers, users, and security maintainers to ensure comprehensive data safety solutions [11][12]. - The evolution of the data industry is marked by a shift from information services to a value-ecosystem stage, driven by AI's role in enhancing data utilization and market demand [12][13]. - AI's advancements are improving data processing efficiency and expanding the market for data elements, while also presenting new challenges for data security governance [14]. Group 5: Future Directions - The focus for 2026 is on data value release, with initiatives aimed at enhancing data quality and availability to support AI innovation across various sectors [15]. - The ongoing reforms in data rights and the establishment of new data circulation mechanisms are expected to mature the market for data elements, facilitating efficient data flow and privacy protection [14].