科技公司校招开启“抢人大战”AI竞速下就业市场“冰火两重天”

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 [2][3][4] - There is a stark contrast in the AI job market, with top-tier companies eager to hire while many small and medium enterprises struggle to find suitable candidates [2][5] - 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 [2][9] Recruitment Trends - Baidu has initiated its campus recruitment for 2026, planning to issue over 4,000 offers, with more than 90% of these positions in AI [4] - ByteDance, Alibaba, and Tencent have also started their recruitment drives, with significant increases in the number of AI-related job openings [4][5] - The demand for AI talent is not only high among large tech firms but also growing among small and medium enterprises, which often face challenges in attracting qualified candidates [5][6] Talent Supply and Demand Dynamics - The AI job market exhibits a "pyramid" structure, where top-tier talent is in high demand but hard to find, while lower-tier positions are flooded with applicants [6][8] - A report indicates that the overall growth rate of new AI job positions is 36.82%, yet there is a talent gap exceeding 5 million in China [7] - Many job seekers, particularly those from less prestigious universities, struggle to secure desirable positions due to high competition and stringent requirements [7][10] Educational Gaps - The rapid establishment of AI programs in universities has not aligned with industry needs, leading to a mismatch between graduates' skills and employers' expectations [9][10] - Experts suggest that universities need to enhance their AI education quality by improving resources, faculty expertise, and practical training opportunities [9][10] - Bridging the gap between academia and industry is crucial for addressing the talent shortage and ensuring that graduates meet the evolving demands of the AI sector [10][11]