
在AI时代,行业领袖们认为,未来最紧缺、也最有可能带来高收入的职业,或许并不是那些直接开发AI模型的岗位,而是目前严重短缺、为AI庞大基础设施建设提供支持的体力技术工种。
这正是英伟达(Nvidia)首席执行官黄仁勋所秉持的观点。上周日,在卡内基梅隆大学(Carnegie Mellon University)2026届毕业典礼演讲中,黄仁勋描绘了一个远远超出软件与工程专业范围的AI时代就业市场。
黄仁勋表示:“AI让美国重新获得了大规模建设的机会。电工、水管工、钢铁工人、技术人员、建筑工人——属于你们的时代到了。AI不仅正在创造一个新的计算产业,更是在开启一个全新的工业时代。”
事实上,AI热潮背后的实体基础设施投资规模极其庞大。今年,美国大型科技公司的资本支出总额可能达到约7,000亿美元,主要用于建设训练、部署和维护AI模型所需的数据中心及其他基础设施。咨询公司麦肯锡(McKinsey)去年发布的一份报告还指出,如果企业能够持续满足市场需求,到本十年末,全球数据中心建设热潮可能带来近7万亿美元的投资规模。
白领岗位,尤其是那些最容易受到AI影响的职位,正变得愈发岌岌可危。但AI基础设施需求则让黄仁勋等人认为,传统蓝领职业或许才是新一代毕业生更明智的选择。
有数据显示,黄仁勋的判断并非没有依据。人力资源公司任仕达(Randstad)今年3月对数百万份招聘信息进行分析后发现,过去三年,技术工种岗位需求激增27%。其中,建筑工人需求增长30%,焊工增长25%,电工增长18%。与此同时,房地产服务公司仲量联行(JLL)近期的一份报告显示,企业难以招聘到足够多的年轻工人来满足不断增长的需求,并填补数百万即将退休的老一代技术工人留下的空缺。
劳动力瓶颈
在AI领域,业内人士经常谈论硬件和算力如何限制技术进一步扩张,但如今,缺乏建设这些基础设施所需的一线实操工人,正迅速成为另一个关键瓶颈。
而且,这不只是AI行业面临的问题。
福特(Ford)首席执行官吉姆·法利去年9月在接受Axios采访时,谈到美国缺乏愿意从事技术工种的人才,而这些工种原本能够支撑美国数据中心建设以及制造业回流目标。他表示:“我认为大家的意愿是存在的,但没有足够的人来支撑这些雄心。”不过,雇主所面临的难题,或许反而会让劳动者受益。黄仁勋此前曾表示,未来技术工种从业者即便在职业生涯早期,很快也能获得六位数年薪。
在上周末的演讲中,黄仁勋鼓励毕业生主动迎接这一时代机遇。
黄仁勋表示:“这是人类历史上规模最大的科技基础设施建设浪潮,也是美国实现再工业化的千载难逢的机遇。为了支撑AI发展,美国将在全国范围内建设芯片工厂、计算机工厂、数据中心以及先进制造设施。”
虽然数据中心和相关AI基础设施建设提振了对建筑业以及其他技术工种的需求,但行业并非全是利好信号。首先,外界对于“招聘热潮”和“薪资上涨”的期待,很大程度上仍取决于波动较大的AI行业未来发展。而参与数据中心建设的技术工人,也无法保证在项目结束后仍能拥有长期稳定的工作。此外,尽管需求旺盛,但由于开发商在分区法规、审批许可以及电力供应等问题上面临进度延误,数据中心建设去年却出现了自2020年以来的首次放缓。
抛开数据中心领域的投资不谈,建筑业及相关技术工种近来的整体情况并不理想。行业组织美国建筑商与承包商协会(Associated Builders and Contractors)的数据显示,自2024年以来,美国非住宅建筑支出整体基本持平。该协会还表示,目前这一数字甚至可能已经开始小幅下滑,部分原因包括关税上升、原材料成本增加,以及特朗普政府打击移民政策后建筑劳动力进一步萎缩。
美国建筑商与承包商协会首席经济学家阿尼尔班·巴苏上周表示:“除了数据中心建设持续繁荣之外,目前几乎看不到其他明显的增长动力。”
黄仁勋描绘的是一个技术工种岗位充足、薪资优厚的未来。越来越多的年轻劳动者,或是因为对四年制大学教育感到失望,或是出于希望自己的职业“不被AI取代”的渴望,都开始将这些技术岗位视为一种现实选择。但就像办公室白领的前景一样,技术工种劳动者的未来,或许也与他们所参与建设的这项技术深度绑定,而这种关联暗藏隐忧。(财富中文网)
作者:刘进龙
审校:汪皓
在AI时代,行业领袖们认为,未来最紧缺、也最有可能带来高收入的职业,或许并不是那些直接开发AI模型的岗位,而是目前严重短缺、为AI庞大基础设施建设提供支持的体力技术工种。
这正是英伟达(Nvidia)首席执行官黄仁勋所秉持的观点。上周日,在卡内基梅隆大学(Carnegie Mellon University)2026届毕业典礼演讲中,黄仁勋描绘了一个远远超出软件与工程专业范围的AI时代就业市场。
黄仁勋表示:“AI让美国重新获得了大规模建设的机会。电工、水管工、钢铁工人、技术人员、建筑工人——属于你们的时代到了。AI不仅正在创造一个新的计算产业,更是在开启一个全新的工业时代。”
事实上,AI热潮背后的实体基础设施投资规模极其庞大。今年,美国大型科技公司的资本支出总额可能达到约7,000亿美元,主要用于建设训练、部署和维护AI模型所需的数据中心及其他基础设施。咨询公司麦肯锡(McKinsey)去年发布的一份报告还指出,如果企业能够持续满足市场需求,到本十年末,全球数据中心建设热潮可能带来近7万亿美元的投资规模。
白领岗位,尤其是那些最容易受到AI影响的职位,正变得愈发岌岌可危。但AI基础设施需求则让黄仁勋等人认为,传统蓝领职业或许才是新一代毕业生更明智的选择。
有数据显示,黄仁勋的判断并非没有依据。人力资源公司任仕达(Randstad)今年3月对数百万份招聘信息进行分析后发现,过去三年,技术工种岗位需求激增27%。其中,建筑工人需求增长30%,焊工增长25%,电工增长18%。与此同时,房地产服务公司仲量联行(JLL)近期的一份报告显示,企业难以招聘到足够多的年轻工人来满足不断增长的需求,并填补数百万即将退休的老一代技术工人留下的空缺。
劳动力瓶颈
在AI领域,业内人士经常谈论硬件和算力如何限制技术进一步扩张,但如今,缺乏建设这些基础设施所需的一线实操工人,正迅速成为另一个关键瓶颈。
而且,这不只是AI行业面临的问题。
福特(Ford)首席执行官吉姆·法利去年9月在接受Axios采访时,谈到美国缺乏愿意从事技术工种的人才,而这些工种原本能够支撑美国数据中心建设以及制造业回流目标。他表示:“我认为大家的意愿是存在的,但没有足够的人来支撑这些雄心。”不过,雇主所面临的难题,或许反而会让劳动者受益。黄仁勋此前曾表示,未来技术工种从业者即便在职业生涯早期,很快也能获得六位数年薪。
在上周末的演讲中,黄仁勋鼓励毕业生主动迎接这一时代机遇。
黄仁勋表示:“这是人类历史上规模最大的科技基础设施建设浪潮,也是美国实现再工业化的千载难逢的机遇。为了支撑AI发展,美国将在全国范围内建设芯片工厂、计算机工厂、数据中心以及先进制造设施。”
虽然数据中心和相关AI基础设施建设提振了对建筑业以及其他技术工种的需求,但行业并非全是利好信号。首先,外界对于“招聘热潮”和“薪资上涨”的期待,很大程度上仍取决于波动较大的AI行业未来发展。而参与数据中心建设的技术工人,也无法保证在项目结束后仍能拥有长期稳定的工作。此外,尽管需求旺盛,但由于开发商在分区法规、审批许可以及电力供应等问题上面临进度延误,数据中心建设去年却出现了自2020年以来的首次放缓。
抛开数据中心领域的投资不谈,建筑业及相关技术工种近来的整体情况并不理想。行业组织美国建筑商与承包商协会(Associated Builders and Contractors)的数据显示,自2024年以来,美国非住宅建筑支出整体基本持平。该协会还表示,目前这一数字甚至可能已经开始小幅下滑,部分原因包括关税上升、原材料成本增加,以及特朗普政府打击移民政策后建筑劳动力进一步萎缩。
美国建筑商与承包商协会首席经济学家阿尼尔班·巴苏上周表示:“除了数据中心建设持续繁荣之外,目前几乎看不到其他明显的增长动力。”
黄仁勋描绘的是一个技术工种岗位充足、薪资优厚的未来。越来越多的年轻劳动者,或是因为对四年制大学教育感到失望,或是出于希望自己的职业“不被AI取代”的渴望,都开始将这些技术岗位视为一种现实选择。但就像办公室白领的前景一样,技术工种劳动者的未来,或许也与他们所参与建设的这项技术深度绑定,而这种关联暗藏隐忧。(财富中文网)
作者:刘进龙
审校:汪皓
In the artificial intelligence age, industry leaders say the most in-demand and potentially lucrative professions might not be the roles building AI models themselves, but rather the sorely lacking manual labor needed to supply the technology’s massive infrastructure needs.
That’s the endorsement of Nvidia CEO Jensen Huang. Addressing Carnegie Mellon University’s class of 2026 during a commencement speech on Sunday, Huang described an AI-era jobs market that extends far beyond the confines of software and engineering degrees.
“AI gives America the opportunity to build again. Electricians, plumbers, iron workers, technicians, builders—this is your time,” Huang said. “AI is not just creating a new computing industry, it is creating a new industrial era.”
The investment in the physical side of the AI boom is, indeed, enormous. Capital expenditure from the country’s largest tech firms could add up to some $700 billion this year, largely driven by commitments to build the data centers and other infrastructure required to train, deploy, and maintain AI models. Globally, the data center boom could generate almost $7 trillion in investment by the end of the decade if companies can keep up with the demand, according to a McKinsey report published last year.
While white collar jobs, particularly those highly exposed to AI, seem more precarious by the day, AI’s infrastructure needs to have Huang and others pointing to the roles traditionally considered blue collar as perhaps the wise choice for new grads.
Some data suggests Huang might be on to something. A March analysis of several million job postings by staffing firm Randstad found demand for skilled trades has soared 27% over the past three years. The need for construction workers is up 30%, welders 25%, and electricians 18%, according to the report. At the same time, companies aren’t able to hire enough young workers to keep up with their needs and to replace the millions of older trades people now entering retirement, a recent JLL report shows.
A labor bottleneck
Figures in the AI world often talk about hardware and computing limiting their loftiest ambitions to scale the technology further, but the lack of physical workers to build out that infrastructure is quickly becoming a bottleneck in its own right.
It’s not a problem exclusive to the AI industry either.
“I think the intent is there, but there’s nothing to backfill the ambition,” Ford CEO Jim Farley told Axios in September, speaking about the lack of interest in the skilled trades that could support the country’s data center and manufacturing reshorting goals. The headache for employers could be to the benefit of workers, as Huang has previously suggested trades people could soon command six-figure salaries, even early in their career.
During his speech over the weekend, Huang challenged students to rise to the occasion.
“This is the largest technology infrastructure buildout in human history and a once-in-a-generation opportunity to reindustrialize America,” he said. “To support AI, America will build chip factories, computer factories, data centers, and advanced manufacturing facilities across the country.”
While data centers and related AI infrastructure have raised demand for construction and other skilled trades, not every signal in the industry has been positive. For one, hopes of a hiring boom and surging salaries hinge on the fate of the volatile AI industry, and trades workers involved in data center construction have no guarantee of a permanent job once their share of the work wraps up. Despite high demand, data center construction actually slowed last year for the first time since 2020 as developers faced delays in dealing with zoning laws, permits, and securing power supply.
And beyond data center spending, construction and related trades have not had a great time as of late. Nonresidential construction spending has been mostly flat since 2024, according to the Associated Builders and Contractors, a trade group. It might now be dipping slightly, the association has signaled, in part due to tariffs, higher input costs, and a weakened construction labor force in the wake of the Trump administration’s immigration crackdown.
“With the exception of the ongoing boom in data center construction, there are few sources of momentum,” Anirban Basu, chief economist at the Associated Builders and Contractors, said last week.
Huang described a future of plentiful and high-paying jobs in the trades, and a growing share of young workers—whether due to disillusionment with four-year degrees or out of an urge to AI-proof their careers—are beginning to see these roles as a real possibility. But not unlike the prospects of office-bound employees, the outlook for workers in skilled trades might be uncomfortably entwined with that of the technology they are helping build.