Core Viewpoint - The article emphasizes the emergence of the "smart economy" as a new economic form driven by artificial intelligence and other intelligent technologies, which enhances personalized customization and proactive responses, elevating economic and social development to a higher level [1][6]. Development of Smart Economy - The "14th Five-Year Plan" has established high-quality development as the main theme for economic and social development, proposing the comprehensive implementation of the "Artificial Intelligence +" initiative to integrate AI with various sectors [2][3]. - The smart economy is characterized by a transition from digitalization to intelligent transformation, with AI technologies driving comprehensive upgrades across production methods and living scenarios [8][10]. Historical Context of AI Development - The development of AI can be divided into three stages: rule-based programming (1950s-1970s), expert systems and knowledge engineering (1970s-1980s), and data-driven learning (1980s-present) [5][6]. - The modern concept of AI involves using computer technology to enable machines to learn and act autonomously, marking a significant shift from traditional automation and mechanization [5][6]. Trends in Smart Economy - The transition from generative AI to intelligent agents is underway, with the number of generative AI services expected to grow from 8 in August 2023 to 439 by June 2025, reflecting a 54-fold increase [8][9]. - The smart economy will evolve from a focus on virtual services to a core emphasis on intelligent manufacturing, indicating a shift in economic development models [9][10]. Industry Development and Ecosystem - By 2024, China's AI industry is projected to exceed 700 billion yuan, with a comprehensive industrial chain covering chips, computing power, data, platforms, and applications [10][11]. - The emergence of AI-native enterprises specializing in AI programming, customer service, and robotics is expected to drive the development of a complete smart industry ecosystem [10][11]. Recommendations for AI Development - To promote high-quality AI development, it is essential to expand investment, accelerate the scale production of AI products, and enhance the quality of digital infrastructure [13][14]. - Building a robust AI industry ecosystem requires integrating market forces, supporting leading enterprises, and encouraging participation from small and micro enterprises [14][15]. - Establishing new regulatory frameworks that balance development and safety is crucial for the sustainable growth of the smart economy, ensuring it benefits the entire population [15].

Group 1 - The company has undertaken projects related to facial recognition systems, including the construction project for Hangzhou Normal University and the installation of facial recognition devices for Qianjiang Industry and Trade Co., Ltd. [1]