以前只听说过招聘用AI筛简历、搞面试； 没想到现在连大学招生的活儿，也被AI拿下了…… 最近美国多所高校开启AI评审，但各种操作中最让人意外的，是弗吉尼亚理工大学靠AI审核学生入学申请材料。 这直接省下了8000小时人工工作量，让录取结果比往常早出了一个月。 只能说，你以为的招生办，背后其实是AI在打工（doge）。 「AI选拔」渗透越来越广 这种AI选拔的现象其实早有苗头，只是现在风水轮流转，吹到了象牙塔。 早就听大家吐槽过，许多公司不仅用AI筛简历，甚至还用AI进行视频面试，通过分析应聘者的面部表情和语气来判断性格。 就比如，知名消费品大厂联合利华就曾大规模引入AI面试系统，要求应聘者对着摄像头自言自语，由后台模型分析面试者的表现，决定打工人的 去留。 现在，AI招生也来了。 于是，「AI+人工协同」的招生模式出现了。 今年，每位申请人的每篇文章会由一名人类和AI分别评分，如果评分不一致，还会由另一位审核员再次打分。 弗吉尼亚理工大学的招生管理副院长表示，在这种模式下，招生办已经节省了约8000小时的人工工作量。 为此，学校还计划比平时提前一个月发送录取通知书。 但可能也是被逼出来的。 近年来，随着美国许 ...

闻乐 发自 凹非寺 量子位 | 公众号 QbitAI 以前只听说过招聘用AI筛简历、搞面试； 没想到现在连大学招生的活儿，也被AI拿下了…… 最近美国多所高校开启AI评审，但各种操作中最让人意外的，是弗吉尼亚理工大学 靠AI审核学生入学申请材料 。 这直接省下了8000小时人工工作量，让录取结果比往常早出了一个月。 「AI选拔」渗透越来越广 这种AI选拔的现象其实早有苗头，只是现在风水轮流转，吹到了象牙塔。 早就听大家吐槽过，许多公司不仅用AI筛简历，甚至还用AI进行视频面试，通过分析应聘者的面部表情和语气来判断性格。 就比如，知名消费品大厂联合利华就曾大规模引入AI面试系统，要求应聘者对着摄像头自言自语，由后台模型分析面试者的表现，决定打工 人的去留。 现在， AI招生 也来了。 但可能也是被逼出来的。 近年来，随着美国许多高校将SAT/ACT考试改为可选项目，申请门槛降低，申请人数就爆发式增长了。 招生部门面临的工作压力，已经不是靠多喝几杯咖啡就能解决的了（doge）。 以弗吉尼亚理工大学2025年秋季招生为例，他们原本计划只招收约7085名新生，结果却收到了超过5.7万份申请。 如果只是看个简历也就罢了 ...

Group 1: Core Insights - The tech industry is experiencing a significant wave of layoffs, with major companies like Amazon and Salesforce announcing substantial job cuts while simultaneously seeing stock price increases, indicating a shift in market perception towards efficiency driven by AI [3][5][6] - The layoffs are characterized as a structural change linked to the rise of AI, with companies reducing workforce numbers to enhance operational efficiency and profitability [4][9] - The wealth concentration among tech billionaires is accelerating, with notable figures like Elon Musk seeing their net worth soar, highlighting the financial benefits of AI advancements for a select few [7][14] Group 2: Layoff Trends - In 2025 alone, global tech companies have cut nearly 100,000 jobs, with the largest monthly layoffs reaching 24,500 positions [3][5] - Amazon has laid off over 27,000 employees since 2022, while Microsoft and Intel have also made significant cuts, reflecting a widespread trend across the tech sector [5][6] - Meta's approach to layoffs, which reportedly involves determining cuts based on code contribution, illustrates a new, harsher evaluation of employee value in the AI era [5][9] Group 3: Market Reactions - The market is reacting positively to layoffs, with companies like Amazon seeing stock prices rise by over 12% following announcements of job cuts, indicating a new capital logic that values efficiency over workforce size [6][11] - The perception of layoffs has shifted from a sign of distress to a strategy for enhancing AI capabilities, with executives presenting these decisions confidently rather than defensively [6][12] Group 4: Value Redefinition - The rise of AI is fundamentally altering how talent is valued, with a stark divide emerging between ordinary and top-tier engineers, where the latter can leverage AI to create exponentially greater value [9][10] - Companies are increasingly prioritizing AI expertise over traditional roles, leading to a significant restructuring of job categories and the elimination of many lower-skilled positions [10][11] Group 5: Economic Implications - AI is reshaping corporate cost structures, with companies like Amazon reporting strong profit growth despite ongoing layoffs, suggesting that AI is becoming a core driver of efficiency and profitability [11][12] - The long-term impact of AI on the labor market is complex, with potential job displacement for lower-skilled workers and a hollowing out of mid-level positions, while also creating new opportunities in AI-related fields [13][14]

Group 1 - The core viewpoint of the articles highlights the intensifying competition for top talent in the job market, particularly among graduates from prestigious universities, with a significant influx of 12.22 million graduates in 2025 [1] - The demand for high-quality talent is shifting, especially in technical positions, with master's degree holders in algorithm engineering commanding an average monthly salary of 27K, indicating a growing salary disparity based on educational background [2] - AI recruitment tools have seen a penetration rate of 77%, with over half of companies using AI for initial resume screening, showcasing a trend towards efficiency in the hiring process [1][4] Group 2 - Companies are increasingly focusing on balancing efficiency with the human aspect of recruitment, as 63.7% of firms recognize the limitations of AI in assessing soft skills and values [1] - Students are adapting their strategies to enhance employability, with 37.4% of the 2026 graduates shifting from traditional internships to participating in competitions and engaging in mentor-led projects [3] - The future of campus recruitment is expected to be a complex interplay of data, technology, and human connection, necessitating companies to build a collaborative ecosystem that integrates talent, business, and technology [4]