斯坦福研究：AI 对入门级岗位冲击最大
AI is hitting entry-level jobs hardest, Stanford study finds
For years, AI industry watchers of all stripes have been warning of a coming jobs apocalypse driven by ultra-intelligent AI systems that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far.
多年来，各色人工智能行业观察者一直警告说，即将到来的工作末日将由超智能AI系统引发，这些系统将能以更低成本复制大多数人类任务。如今，斯坦福大学经济学家最新更新的研究显示，AI似乎正在某些领域导致年轻员工入门级岗位的显著流失，而年长员工迄今似乎基本未受影响。
The August 2026 edition of "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence" updates and revises a paper of the same name published last year with fresh data and refined statistics. In that update, the Stanford researchers find the employment trends they identified for entry-level workers last year are persisting and expanding. Specifically, employment levels for workers aged 22 to 25 in the most "AI-exposed" occupations are now 19 percent below those of their peers in fields less exposed to AI disruption.
2026年8月版的《煤矿中的金丝雀？关于人工智能近期就业影响的六个事实》更新并修订了去年发表的同名论文，加入了新数据和精炼的统计。在该更新中，斯坦福研究人员发现，他们去年为入门级员工确定的就业趋势正在持续并扩大。具体而言，在“AI暴露度”最高的职业中，22至25岁员工的就业水平现在比那些受AI干扰较少的领域中的同龄人低19%。
Last year, that gap measured just 13 percent.
去年，这一差距仅为13%。
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