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 exists a stark contrast in the AI job market, where top-tier companies are aggressively seeking talent while small and medium enterprises struggle to attract qualified candidates [1][3][4] - The rapid expansion of AI undergraduate programs in China 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, aiming to issue over 4,000 offers, with more than 90% of positions related to AI [2] - ByteDance, Alibaba, and Tencent have also launched their recruitment efforts, with significant increases in the number of AI-related job openings [2][3] - The demand for AI talent is reflected in the recruitment strategies of these companies, which prioritize positions such as algorithm engineers and machine learning specialists [2][3] Talent Supply and Demand Dynamics - The AI job market is characterized by a "pyramid" structure, where high-end talent is scarce while competition for lower-tier positions is fierce [4][5][7] - A report indicates that the AI talent gap in China has exceeded 5 million, highlighting a critical supply-demand imbalance [5] - Many job seekers, despite being highly qualified, face intense competition, with some reporting that they are unable to secure desirable positions [6][7] Educational Challenges - The rapid establishment of AI programs in 621 universities has not aligned with industry needs, leading to a mismatch between graduates' skills and employers' expectations [8][9] - Experts suggest that educational institutions need to enhance their resources and teaching quality to better prepare students for the evolving job market [8][9] - There is a call for improved collaboration between academia and industry to bridge the gap between education and practical application [9][10]

近期，美国硅谷上演一场"AI人才争夺战"。Meta为将苹果公司AI基础模型团队负责人庞若鸣收入麾下，不 惜开出超2亿美元的天价薪酬总包，不仅超过苹果公司CEO库克2024年的薪酬，更直逼足坛巨星C罗的年 收入；谷歌豪掷24亿美元，以接近"人才收购"的方式引进AI编程公司Windsurf的技术与核心研发人才…… 科技公司正不计代价地展开一场现代版"淘金潮"，"金矿"的核心，正是稀缺的顶尖AI人才。 证券时报各平台所有原创内容，未经书面授权，任何单位及个人不得转载。我社保留追 究相关 行 为主体 法律责任的权利。 转载与合作可联系证券时报小助理，微信ID：SecuritiesTimes END "疯狂撒钱"的背后，是巨头们对顶尖AI人才稀缺性与重要性的共识。一份份令人咋舌的"天价薪酬"，折射 的是人工智能引领的新一代技术革命浪潮所带来的价值重构。工业革命时期，资本、土地等生产要素往往 占据主导地位。但在AI时代，人才已成为最核心的生产要素，是创造价值的源头活水，其蕴意不言自明。 以DeepSeek为例，其最核心的优势是极高的人才密度。团队成员通过算法优化与工程创新，大幅降低大 模型的训练推理成本，在资本市场掀起了 ...

人工智能的竞争，永远延续着这样一条规律：人才第一，数据第二，算力第三。OpenAI的遥遥领先，正是靠的其庞大的人才军火库。 很多人都有一个问题：到底什么才是AI时代最需要的人才？这个问题，或许我们能在2025年春招中找到答案。 最近，乌鸦君分析了北上深杭四个城市，近3000个高薪（月薪在2万以上）的AI岗位招聘数据，发现了一些有意思的结论： 越来越多企业开始抛弃唯学历论。比如，深度求索（DeepSeek）、MiniMax、Momenta等明星公司在部分岗位招聘里，只要求本科学历。 相比学历，他们更加重视工程和学术能力。比如，在深度求索岗位招聘里，强调了有实际研发经验，或者能独立解决复杂的技术问题优先。 除了以上这些外，AI时代还有更大的一个变化在于，对人才的复合能力要求更高了。 就拿当下最火的AI产品经理来说，不仅需要懂用户，还需要懂模型，并在模型输出的不确定性和确定性的用户需求之间，找到一个微妙的平衡。 产品经理的要求变化，只是人类工作的缩影。当AI能做的工作越来越多，人需要从更高的维度上去整合这些能力，这无疑对人的综合能力提出了更高的 要求。 换句话说，在AI时代，人才的价值不仅没有变得边缘，反而更加中心 ...