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如果你在2026年发表毕业演讲，或许不要提到人工智能If you’re giving a commencement speech in 2026, maybe don’t mention AI

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以下内容为 AI 自动翻译，英文原文附后供参考。

摘要

最近的毕业演讲突显了演讲者与学生之间关于人工智能话题的紧张关系。格洛丽亚·考尔菲尔德和埃里克·施密特等人物遭到了学生的反对，包括嘘声，学生们对人工智能对未来就业前景的影响感到越来越焦虑。这一反应凸显了年轻人对人工智能可能破坏传统职业道路和整体经济稳定的明显恐惧。

Recent commencement speeches have highlighted a growing tension between speakers and students regarding the topic of artificial intelligence. Notably, figures like Gloria Caulfield and Eric Schmidt faced backlash, including booing, from students who are increasingly anxious about the implications of AI on their future job prospects. This reaction underscores a palpable fear among young people about how AI might disrupt traditional career paths and their overall economic stability.

要点

  1. 学生们对人工智能的讨论越来越抵触，因担心就业市场。

    Students are increasingly resistant to discussions about AI due to job market fears.

  2. 毕业演讲正成为表达对未来焦虑的平台。

    Commencement speeches are becoming a platform for expressing anxiety about the future.

  3. 反对声表明了既定人物与年轻一代关切之间的脱节。

    The backlash indicates a disconnect between established figures and the concerns of younger generations.

为何重要

这一趋势反映了文化的重大转变，年轻人开始表达对人工智能驱动的工作未来的担忧。理解这种情绪对于解决下一代的焦虑至关重要。

This trend reflects a significant cultural shift where young people are voicing their concerns about the future of work in an AI-driven world. Understanding this sentiment is crucial for addressing the anxieties of the next generation.

按谁的角度看

产品经理

产品经理应意识到年轻人对人工智能日益增长的怀疑，这可能会影响未来的产品采用和用户参与。

Product managers should be aware of the growing skepticism around AI among younger demographics, as this could influence product adoption and user engagement in the future.

开发者

开发者需要考虑人工智能技术的伦理影响及其对就业安全的影响，因为这些担忧可能会影响未来创新的方向。

Developers need to consider the ethical implications of AI technologies and how they may impact job security, as these concerns could shape the direction of future innovations.

学生与求职者

对于学生和求职者来说，这种反对声表明了发展抗自动化技能的重要性，以及理解人工智能主导市场中不断变化的就业机会。

For students and job-seekers, this backlash signals the importance of developing skills that are resilient to automation and understanding the evolving landscape of job opportunities in an AI-dominated market.

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