阿里，刚刚捐了一笔钱

Core Viewpoint - Alibaba is intensifying its efforts in the AI sector, exemplified by its recent donation to Tsinghua University to support AI talent cultivation, while simultaneously launching competitive initiatives against major players like Dianping [3][5][8]. Group 1: Donation and Collaboration with Tsinghua University - Alibaba's CEO, Wu Yongming, led a delegation to Tsinghua University to witness a donation ceremony aimed at supporting the construction and development of the "Wuqiong College," which focuses on cultivating AI leaders [3][5]. - The "Wuqiong College," established in May 2023, aims to train the next generation of AI pioneers, with its first cohort of 172 students enrolled in August [5][6]. - The college's educational framework is designed around three axes: technical depth, domain breadth, and humanistic warmth, reflecting a commitment to comprehensive AI education [5][6]. - Alibaba's support includes funding, advanced computing resources, practical courses, and internships, indicating a multi-faceted approach to talent development in AI [5][8]. Group 2: AI Business Growth and Financial Performance - Alibaba's recent financial report revealed a 26% year-over-year increase in cloud revenue, reaching 33.39 billion yuan, marking a three-year high [10]. - AI-related revenue now constitutes over 20% of Alibaba Cloud's external commercialization income, with AI products experiencing triple-digit growth for eight consecutive quarters [10]. - The company has invested over 100 billion yuan in AI infrastructure and product development over the past four quarters, with plans to invest more than 380 billion yuan in the next three years [10][11]. Group 3: Competitive Landscape and Talent Acquisition - The AI talent gap is significant, with a reported shortage of 5 million professionals in the field, prompting major tech companies to aggressively recruit [16][17]. - Alibaba plans to issue over 7,000 job offers, with more than 60% targeting AI positions, reflecting the company's focus on AI roles such as algorithms, large models, and AI product management [17][18]. - The competitive landscape for AI talent is fierce, with global tech giants offering substantial salaries and incentives to attract top talent, highlighting the critical role of human resources in the AI sector [17][18].