LENOVO GROUP(HK:00992) Zhong Guo Jin Rong Xin Xi Wang·2026-01-16 12:17Core Viewpoint - The trend of hybrid AI is becoming inevitable, as it aims to create personalized and diverse AI solutions, accelerating the transition of AI into practical applications [1] Group 1: Hybrid AI Concept - Hybrid AI combines personal AI, enterprise AI, and public AI for collaborative and complementary use [2] - Lenovo has launched its first global personal super-intelligent agent, Lenovo Qira (known as "Tianxi Intelligent Agent" in China), along with new AI PCs, AI smartphones, and wearable devices [2] - Lenovo Qira enables seamless switching across various devices and has the capability to connect and coordinate multiple intelligent agents, remembering user preferences and predicting needs while ensuring privacy [2] Group 2: Market Insights and Projections - The Tianxi Intelligent Agent ecosystem in China has reached 10,000 developers and 5,000 intelligent agent partners, with plans to upgrade to version 4.0 by 2026 [2] - Research indicates that by 2025, AI PCs will account for over 30% of the PC business, with Lenovo aiming for over 50% by 2026 [2] Group 3: Enterprise AI Applications - Lenovo plans to collaborate with NVIDIA in 2025 to release a hybrid AI advantage set, providing essential capabilities for enterprise AI applications [2] - The core technology module, Qingtian Engine, will support the development of Lenovo xCloud Smart Cloud, Lenovo Baiying, Lenovo Qingtian Intelligent Agent solutions, and Lenovo's full-cycle AI services to meet the diverse AI application needs of government and enterprise clients in China [2] Group 4: Case Study and Internal Efficiency - Lenovo has assisted Yili Group in integrating AI into its production system, resulting in significant reductions in transportation costs and maintaining a 98% on-time delivery rate [3] - The company has developed an enterprise super-intelligent agent, Lenovo Lexiang, which has integrated over 200 intelligent agents into its internal processes, enhancing operational efficiency and achieving cost reduction [3]