经济观察报·2026-01-16 09:43Core Viewpoint - The article emphasizes that AI should evolve beyond simple conversational tools to become capable of executing tasks in the physical world, marking the beginning of an era where AI can genuinely assist humans in practical matters [1][4]. Group 1: Development of Qianwen APP - The Qianwen APP, led by Alibaba's Vice President Wu Jia, has achieved over 100 million monthly active users within two months of launch, indicating rapid growth and strategic consolidation of Alibaba's various services [2][4]. - Qianwen APP is designed to not only engage in dialogue but also to perform real-world tasks such as ordering food and booking flights, showcasing its capability as a practical AI assistant [4][10]. - The app has integrated over 400 "one-sentence task completion" capabilities, addressing the gap between AI's intellectual capabilities and its practical execution abilities [10][18]. Group 2: Transition from Digital to Physical - The AI industry has faced a paradox of "intellectual surplus and labor shortage," where existing models excel in conversation but struggle with task execution, which Qianwen aims to overcome by focusing on actionable outcomes [6][8]. - Qianwen's approach involves deep integration with Alibaba's ecosystem, allowing it to leverage existing services for real-world applications without requiring changes to user hardware [8][10]. - The app's ability to understand user intent and deliver results marks a significant shift from being a mere assistant to becoming a "digital housekeeper" [10][16]. Group 3: Breaking Down APP Islands - The article discusses the "APP island" phenomenon, where users must navigate multiple applications for different tasks, leading to inefficiencies [12][13]. - Qianwen aims to break down these barriers by providing a seamless experience that integrates various services, enhancing user interaction and efficiency [12][21]. - The integration of Qianwen with Alibaba's extensive service infrastructure allows it to serve as a comprehensive solution for users' needs, transforming the way digital tasks are executed [15][21]. Group 4: Future of AI and Business Models - Wu Jia predicts that 60%-70% of routine digital tasks will be executed by AI in the next two years, indicating a significant shift in labor dynamics [18][22]. - The competition among tech companies is shifting towards enhancing natural language interfaces and ecosystem collaboration, with a focus on transforming user inquiries into actionable outcomes [22]. - The article concludes that the future of business models and service structures may undergo significant changes as AI capabilities evolve, with Qianwen positioned as a key player in this transformation [22].