Xin Hua Cai Jing·2025-12-30 03:04Core Insights - Personal AI is identified as a key direction for innovation and inclusivity, requiring collaboration across the entire industry chain for scalable, trustworthy, and sustainable evolution [2][3] - The current AI product and service architecture is primarily based on cloud-based large models, which lack capabilities for continuous perception, long-term memory, and autonomous decision-making, thus failing to create a truly personalized service loop [2] - The white paper released by Lenovo and IDC defines the current AI form as "Public AI," which significantly lowers the usage threshold and enhances efficiency, but still provides average services rather than personalized support [2] Industry Trends - Personal AI will adopt a hybrid architecture of edge and cloud to address user trust, cost control, response speed, and continuous companionship issues [3] - The rise of personal AI is reshaping the industry structure into a distributed three-layer architecture centered around individuals, consisting of integration, service, and capability layers [3] - Major companies like Intel, AMD, Qualcomm, MediaTek, Apple, and NVIDIA are launching next-generation chips optimized for AI inference, providing the necessary computational power for multimodal, continuous memory, and personalized services [3] Company Developments - Lenovo is actively developing and iterating its Tianxi personal super intelligent system (Tianxi AI) and various smart terminals embedded with Tianxi AI to enhance user experience [4] - The Tianxi AI has been upgraded to version 3.5 and is rapidly iterating, contributing to significant growth in Lenovo's AI mobile phones and tablets, with growth rates exceeding 90% and 100% respectively [4] - The AIoT product line is expanding with new categories such as AI glasses, AI headphones, and AI home products being introduced [4]