Core Insights - The mobile industry is accelerating the development of AI agents, with Huawei investing 1 billion yuan in the "Tian Gong Plan" and Qualcomm collaborating with major Android manufacturers on the "AI Acceleration Plan" [1][2] - AI agents are becoming standard features in smartphones, enhancing ecosystem competition through integration with third-party apps and other AI agents [1][2] Group 1: AI Agent Development - Major Chinese smartphone manufacturers are transitioning from traditional voice assistants to AI agents with autonomous decision-making and execution capabilities [2][3] - Huawei's new Harmony AI Agent Framework (HMAF) aims to create a collaborative AI ecosystem where all agents work together, supported by a 1 billion yuan investment to enhance the AI ecosystem [2][3] - Honor's AI agent YOYO, based on the MagicGUI open-source model, has developed multi-modal AI perception and cross-application execution capabilities [3] Group 2: Industry Collaboration - Qualcomm, in partnership with GTI and major telecom operators, has launched the "AI Acceleration Plan" to expand edge intelligence applications across various devices [3] - The industry is strengthening collaboration across the supply chain to enhance the capabilities of AI agents and their integration into smartphones [3][6] Group 3: Challenges and Limitations - Current AI agents face challenges in practical usability and privacy protection, with limitations in accurately interpreting complex app interfaces [4][5] - Many AI agents can only perform basic tasks, often relying on "screen reading and simulated clicking" methods, which are seen as transitional solutions [4] - Privacy concerns arise from the need for AI agents to access personal data, leading to calls for user verification of AI actions to prevent errors [5] Group 4: Future Directions - The establishment of the "IIFAA Intelligent Agent Trusted Interconnection Working Group" aims to create industry standards for secure interactions between AI agents [6] - Future developments may see AI agents expanding from smartphones to tablets, PCs, and other devices, enhancing their functionality and integration [6] - Qualcomm emphasizes the need for innovative memory architectures and low-power processors to support the growing demands of AI agents [7]