Xin Hua She·2025-12-19 00:20Core Insights - The article discusses the significant penetration of artificial intelligence (AI) into daily life and work by 2025, highlighting the popularity of AI applications like DeepSeek and Doubao, which have achieved 1.2 billion and 2.6 billion installations respectively [1][2] - AI has become an integral part of both personal and professional routines, with users increasingly relying on AI for tasks ranging from homework assistance to workplace productivity [2][3] - The rapid integration of AI into various applications is transforming traditional app ecosystems, with AI capabilities becoming a standard expectation in mobile applications [3][4] Group 1: AI in Daily Life - Many users have incorporated AI applications into their daily routines, with examples including using Doubao for children's homework and AI for travel planning [2] - AI is perceived as a necessary tool in the workplace, with employees utilizing multiple AI applications for tasks such as creating presentations and processing data [2][3] - The evolution of AI applications is evident, with new products like Lingguang AI emerging to enhance user experience through advanced capabilities [2] Group 2: AI in E-commerce - E-commerce platforms are heavily integrating AI, with AI assistants taking over customer service and digital humans conducting live-stream sales, significantly reducing operational costs [3] - During the 2025 Double Eleven shopping festival, JD's JoyAI model was applied in over 1,800 scenarios, serving more than 300,000 merchants and achieving over 700 million yuan in transaction volume [3] Group 3: Transformation of Industry Landscape - The rapid adoption of AI is expected to lead to a profound transformation in industry structures, moving from a "tool era" to a "partner era" where AI reshapes economic and social dynamics [4] - AI is changing the interaction paradigm from "users seeking services" to "services seeking users," potentially rendering traditional apps less visible [4][5] - Challenges remain for AI to fully replace existing app ecosystems, particularly concerning user data security and the evolution of revenue models in the face of personalized AI services [5]