BIDU(US:BIDU) 36氪·2026-02-05 09:41Core Viewpoint - The article emphasizes the strategic importance of Baidu's "chip-cloud-model-body" full-stack layout in the AI era, positioning the company favorably in the competitive landscape of AI applications and technology [2][25][26]. Group 1: Baidu's Strategic Positioning - Baidu's CEO, Li Yanhong, highlighted the significance of applications in the AI era, defining four types of intelligent agents: search agents, digital human agents, code agents, and evolutionary agents [4]. - The company has redefined its architecture to focus on "chip-cloud-model-body," indicating a shift in strategy to enhance its competitive edge in AI [4][18]. - Baidu aims to integrate its AI capabilities within its existing app ecosystem, allowing users to transition seamlessly from traditional search to AI interactions without the need for additional downloads [15][18]. Group 2: Competitive Landscape - The return of founders from major tech companies (BAT) signifies a pivotal moment in the AI competition, with each company launching initiatives to secure their positions in the AI market [6][9]. - The competition is characterized by a "red envelope war," where companies are leveraging cash incentives to attract users, reminiscent of past successful strategies in the Chinese internet landscape [14][15]. - The AI entrance battle has evolved into a "three-legged" competition among Baidu's Wenxin, Alibaba's Qianwen, and Douyin's Doubao, marking a significant shift in user engagement strategies [13][14]. Group 3: Baidu's Technological Advancements - Baidu's Kunlun chip is set to generate significant revenue, with projections indicating a 140% year-on-year growth, highlighting the company's focus on chip development as part of its full-stack strategy [22]. - The company's AI cloud revenue has also seen substantial growth, with a 33% increase year-on-year, and an ambitious target of 200% growth for AI-related revenue in 2026 [22]. - The release of Wenxin 5.0, with advanced capabilities in multimodal understanding and generation, positions Baidu at the forefront of AI technology, surpassing competitors in key performance metrics [23][24]. Group 4: Full-Stack Strategy Implications - Baidu's full-stack approach allows for optimized efficiency and cost-effectiveness, reducing the gap between hardware and algorithm compatibility, which is crucial for AI application performance [24]. - The integration of chip, cloud, and model technologies enables Baidu to maintain control over its AI infrastructure, ensuring stability and resilience in a complex geopolitical landscape [24]. - The article suggests that while the entrance competition may evolve, the ability to convert technology into user value will remain a core strength for Baidu, emphasizing the importance of a comprehensive technological framework [25][26].