尽管外界长期担忧人工智能将引发大规模技术性失业，但美国劳动力市场展现出强劲的吸纳韧性。最新数据显示，美国8月新增非农就业16.2万人远超预期，失业率维持在4.1%的半世纪低位区间，20至24岁青年失业率与总体失业率的差距亦逼近数十年低点。虽然微软、Meta等科技巨头以及Block、Intuit等企业因AI重组平均每月裁员约1.6万人，但在全美每月离职近170万人的庞大就业蓄水池中，自2023年中期以来因AI直接导致的约20万个裁员岗位，已被其催生的逾100万个全新增量岗位全面对冲。
算力基础设施建设与重资产投资构成了此轮就业繁荣的基石。高盛测算显示，全美在芯片、服务器、数据中心及电力领域的年化支出较2022年ChatGPT面世前激增约5,000亿美元；人口普查局数据显示数据中心年化建设投资已突破750亿美元，同比激增近60%。这一基建狂潮引发了对电工、暖通空调专家及电网工程师等蓝领技术工人的抢聘潮。2023年以来，围绕数据中心的核心工业部门超额新增约32万个岗位，数据中心招聘薪酬较同类工作高出约40%，上半年电气制造与承包从业人员时薪分别猛增13%和8%，行业普遍面临严重的技工短缺。
在白领领域，AI催生出涵盖模型训练、数据标注、“前向部署”以及企业AI主管等全新职能，领英数据显示相关AI专属职位招聘翻倍，总数已增至约64万个；工程、数据科学等核心专业岗位超趋势新增约73万个。更为关键的是“杰文斯悖论”式的生产率提振效应：AI大幅降低了法律文书起草与财务分析成本，服务门槛的降低反而刺激了总需求，促使2023至2025年间律师助理与市场分析师就业分别逆势增长11%和6%。尽管客服与基础行政岗位受自动化冲击分别流失10%与15%，但正如个人电脑创造了600万个全新职业一样，AI技术当前在净值层面展现出极其强劲的就业创造力。
Contrary to dire warnings of an imminent technological employment collapse, the American labour market is experiencing an artificial-intelligence jobs boom. Non-farm payrolls expanded by 162,000 in August, holding the national unemployment rate at a historically low 4.1%, while youth unemployment margins hover near multi-decade lows. Although technology giants like Microsoft and Meta alongside software firms such as Intuit and Block trim headcount—averaging 16,000 AI-related layoffs monthly—these losses are absorbed within a dynamic labour market shedding 1.7m workers each month. The Economist estimates AI has generated roughly 1m American jobs since mid-2023, far eclipsing the 200,000 layoffs directly attributed to it.
Massive capital allocation toward physical compute infrastructure forms the primary growth engine. Goldman Sachs calculates that annual spending on hardware, data centres, cooling, and power generation has surged $500bn above 2022 levels. Data-centre construction outlays exceed $75bn annually, up nearly 60% year-on-year. This building spree has triggered intense competition for skilled blue-collar labour, adding 320,000 jobs above baseline trends across electrical contracting and equipment manufacturing. Indeed data reveals data-centre maintenance wages command a 40% premium over equivalent roles, while hourly earnings for electrical equipment manufacturing workers jumped 13% during the first half of 2026 amid acute shortages.
Simultaneously, the boom is creating high-skill white-collar professions while driving productivity-led demand expansion. LinkedIn records roughly 640,000 new AI-specific positions created between 2023 and 2025—including prompt engineers, data labellers, and forward-deployed engineers—with core data science and software roles adding 730,000 positions above baseline trends. Furthermore, lower legal and financial analysis costs have stimulated aggregate demand: paralegal employment grew 11% and market research analyst roles expanded 6%. While routine administrative assistants and customer support suffered 10–15% contractions, historical precedent suggests systemic technology shifts generate entire ecosystems of previously unimaginable occupations, rendering AI an emphatic net job creator.
Source: The jobs apocalypse is postponed. An AI jobs boom is here
Subtitle: Initial effects of the technology on employment look positive
Dateline: Sep 10th 2026