Chubby♨️@kimmonismus

2026-05-16 05:41·46天前

AI 摘要

英伟达CEO Jensen Huang在卡内基梅隆大学告诉2026届计算机科学毕业生，电工、水管工等技工比他们更有前景。数据支持这一观点：Randstad分析显示技工需求增长是白领职位的三倍，机器人技术员职位增长107%，而斯坦福研究发现AI相关职位早期就业下降16%。顶级电工年薪超10.6万美元，无需学位负债。科技公司今年投资7000亿美元建设数据中心，全球到2030年预计达7万亿美元，这些基础设施依赖人力完成，但制造业面临劳动力短缺，每100名新工人进入就有102人离开。AI时代最大赢家是能建设数据中心的技工，而非提示工程师。

The CEO of the world's most valuable semiconductor company just told a room full of computer science grads that electricians and plumbers have a better shot than they do.

Jensen Huang at Carnegie Mellon， class of 2026： "Electricians， plumbers， iron workers， technicians， builders. This is your time."

The numbers back him up. Randstad analyzed 150M+ US job postings. Skilled trades demand is growing 3x faster than professional desk roles. Robotics technician postings up 107%. HVAC engineers up 67%. Electricians， welders， construction workers up 18-30% since late 2022.

Meanwhile， a Stanford study found a 16% decline in early-career employment across AI-exposed jobs. Developer employment ages 22-25 dropped almost 20% from its late 2022 peak.

Top electricians earn $ 106K+. Plumbers $ 105K+. No degree， no student debt. You get paid from day one through apprenticeships.

US tech companies are spending $700B this year on data center buildout. McKinsey projects $7T globally by 2030. Every dollar of that requires humans pulling wire， laying pipe， pouring concrete. AI can't build its own infrastructure.

And the workforce isn't there. For every 100 young workers entering manufacturing， 102 are leaving. The irony is sharp. The biggest winner of the AI era isn't the prompt engineer. It's the person who can wire a 100MW data center in the Nevada desert.

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Chubby♨️@kimmonismus · X

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2026-05-16 05:41·46天前

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AI 摘要

The CEO of the world's most valuable semiconductor company just told a room full of computer science grads that electricians and plumbers have a better shot than they do.

Jensen Huang at Carnegie Mellon， class of 2026： "Electricians， plumbers， iron workers， technicians， builders. This is your time."

Meanwhile， a Stanford study found a 16% decline in early-career employment across AI-exposed jobs. Developer employment ages 22-25 dropped almost 20% from its late 2022 peak.