大型科技公司正将部分招聘需求转向GPU，而非人力。企业将许多办公任务视为软件问题，认为模型加芯片能以更少人员处理文案、编码、支持、搜索和内部分析等工作。这导致对广泛入门级和通用IT岗位的需求下降，转而集中于与模型构建、部署、数据系统及创收关键工作相关的更专业化职位。初创公司趋势更为明显，投资者如今更青睐仅用10名员工就能实现5000万美元营收的小团队，而非过去需要大量人力的软件模式。
Big Tech is replacing part of its hiring engine with GPUs.
Firms now see many office tasks as software problems, where a model plus chips can handle drafting, coding, support, search, and internal analysis with fewer people in the loop.
That pushes demand away from broad entry-level and general IT roles and toward narrower jobs tied to model building, deployment, data systems, and revenue-critical work.
The startup version is even sharper, because investors now reward small teams that reach $ 50M in revenue with 10 employees instead of the older software model that needed far larger staffs.
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cnbc. com/2026/04/24/20k-job-cuts-at-meta-microsoft-raise-concern-of-ai-labor-crisis-.html?taid=69eba270a9d16e00016b52e2
来源：Rohan Paul · x.com