AI校招冰火两重天：大厂抢顶尖人才年薪30万起

Core Insights - The competition for AI talent among major internet companies has intensified as they launch campus recruitment for the 2026 graduating class, with a significant focus on AI-related positions [1][2][3] - There is a stark contrast in the AI job market, where top-tier companies are aggressively seeking talent while many small and medium enterprises struggle to find qualified candidates [1][3][4] - The rapid expansion of AI undergraduate programs in China, with 621 universities now offering such degrees, has not resolved the underlying structural issues in talent supply and demand [1][8][9] Recruitment Trends - Baidu initiated its 2026 campus recruitment on July 8, planning to issue over 4,000 offers, with more than 90% for AI positions, marking a 35% increase from the previous year [2] - ByteDance, Alibaba, and Tencent have also launched their recruitment drives, with ByteDance offering over 5,000 positions and Alibaba planning to issue more than 7,000 offers, with AI roles comprising over 60% [2][3] - The demand for AI talent is particularly high for roles such as algorithm engineers and machine learning specialists, reflecting the industry's focus on AI capabilities [2][3] Talent Supply and Demand Dynamics - The AI job market exhibits a "pyramid" structure, where top-tier talent is in high demand but difficult to recruit, while lower-tier positions face intense competition [4][5][7] - Despite a reported 36.82% growth in new AI job postings in the first half of the year, there is a talent gap exceeding 5 million in China, indicating a significant supply-demand mismatch [5][6] - Many job seekers, particularly those from less prestigious universities, face challenges in securing desirable positions due to high competition and stringent employer requirements [6][7][9] Educational System and Industry Needs - The disconnect between educational institutions and industry requirements is a critical issue, with many universities focusing on theoretical knowledge rather than practical skills [9][10] - There is a call for improved collaboration between academia and industry to better align educational outcomes with market needs, including the establishment of practical training programs and partnerships [9][10] - The rapid growth of AI programs in universities has not been matched by adequate resources or faculty expertise, leading to concerns about the quality of education in this field [8][9]