Fortune | FORTUNE 8小时前
AI is driving mass layoffs in tech, but it’s boosting salaries by $18,000 a year everywhere else, study says
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人工智能的快速发展正深刻改变着就业市场。尽管科技行业内部的某些岗位因AI自动化而面临裁员压力,但研究显示,非技术性岗位对AI技能的需求却在急剧增长,并伴随着显著的薪资溢价。从营销、人力资源到制造和客服,AI正在渗透到各行各业,催生新的工作机会。掌握AI技能,尤其是结合沟通、领导力等软技能,正成为提升个人职业价值的关键。企业若能将AI能力融入整体运营,将更有利于构建面向未来的高效团队。

💡 AI技术加速科技行业内部岗位调整:文章指出,科技行业作为AI的早期采纳者,正经历自身员工因AI创新而被替代的现象。软件工程、IT支持和行政职能等领域的人力需求因AI自动化而收缩,部分公司如微软正进行大规模裁员,同时加大AI投资,这反映了AI对传统技术岗位的冲击。

📈 非技术性岗位AI技能需求飙升,薪资大幅提升:Lightcast的研究揭示,要求AI技能的非技术性岗位数量激增,其薪资平均高出近18,000美元/年。这表明AI不再局限于技术领域,而是正在跨界赋能市场营销、人力资源、金融、教育、制造和客户服务等多个行业,为更广泛的劳动力提供了新的价值增长点。

🚀 生成式AI技能在非科技领域增长迅猛:自2022年以来,非IT和计算机科学领域提及生成式AI技能的职位发布量增长了惊人的800%,这得益于ChatGPT、Microsoft Copilot等工具的普及。营销、设计、教育和人力资源等领域是AI采用最快的行业,它们正积极适应新的工具和工作流程。

🤝 融合AI与人类软技能成为核心竞争力:文章强调,AI驱动的岗位不仅需要技术专长,更看重沟通、领导力、解决问题、研究和客户服务等人类独有的软技能。AI擅长自动化任务,但人类的创造力、判断力和综合能力在AI时代变得更加宝贵,这种混合技能组合将是未来职场的核心竞争力。

🌐 AI赋能广泛经济领域,重新定义职业前景:AI技术正将机会扩散到整个经济体,而非仅仅局限于科技行业。文章认为,对于能够适应并结合AI能力与人类智慧、创造力及商业敏锐度的个人和组织而言,AI技能并非失业的预兆,而是通往更高薪酬和新职业机遇的通行证。企业应将AI融入企业级战略,而非视为单一技术专长,以保持竞争力。

The technology industry, the original epicenter of AI adoption, is now seeing many of its own workers displaced by the very innovations they helped create. Employers, racing to integrate AI into everything from cloud infrastructure to customer support, are trimming human headcount in software engineering, IT support, and administrative functions. The rise of AI-powered automation is accelerating layoffs in the tech sector, with impacted employees as high as 80,000 in one count. Microsoft alone is trimming 15,000 jobs while committing $80 billion to new AI investments.

But labor market intelligence firm Lightcast is offering a ray of hope going forward. Job postings for non-tech roles that require AI skills are soaring in value. Lightcast’s new “Beyond the Buzz” report, based on analysis of over 1.3 billion job postings, shows that these postings offer 28% higher salaries—an average of nearly $18,000 more per year. The Lightcast research underscores the split in tech and non-tech hiring: job postings for AI skills in tech roles remain robust, but the proportion of AI jobs within IT and computer science has fallen, dropping from 61% in 2019 to just 49% in 2024. This signals an ongoing contraction of traditional tech roles as AI claims an ever-larger share of the work.

AI demand explodes beyond tech

Rather than stifling workforce prospects, Lightcast’s research suggests that AI is dispersing opportunity across the broader economy. More than half of all jobs requesting AI skills in 2024 appeared outside the tech sector—a radical reversal from previous years, when AI was confined to Silicon Valley and computer science labs. Fields like marketing, HR, finance, education, manufacturing, and customer service are rapidly integrating AI tools, from generative AI platforms that craft marketing content to predictive analytics engines that optimize supply chains and recruitment.

In fact, job postings mentioning generative AI skills outside IT and computer science have surged an astonishing 800% since 2022, catalyzed by the proliferation of tools like ChatGPT, Microsoft Copilot, and DALL-E. Marketing, design, education, and HR are some of the fastest growers in AI adoption—each adapting to new toolkits, workflows, and ways of creating value.

Cole Napper, VP of research, innovation, and talent insights at Lightcast, told Fortune in an interview that he was struck by the lack of a discernible pattern for which industries were most affected by the explosion of AI skills present in job postings, noting that the arts come top of the list.

AI skills are in demand

For the workforce at large, AI proficiency is emerging as one of today’s most lucrative skill investments. Possessing two or more AI skills sends paychecks even higher, with a 43% premium on advertised salaries.

In 2024, more than 66,000 job postings specifically mentioned generative AI as a skill, a nearly fourfold increase from the prior year, according to the Lightcast’s 2025 Artificial Intelligence Index Report. Large language modeling was the second most common AI skill, which showed up in 19,500 open job posts. Postings listing ChatGPT and prompt engineering as skills ranked third and fourth in frequency, respectively.

Sectors such as customer/client support, sales, and manufacturing reported the largest pay bumps for AI-skilled workers, as companies race to automate routine functions and leverage AI for competitive advantage.

Christina Inge, founder of Thoughtlight, an AI marketing service, told Fortune in a message AI isn’t just automating busywork, it’s also becoming a tool AI-fluent workers can leverage to increase their own value to a company—and to outperform their peers. Take, for example, someone in sales using AI to create more targeted conversations to close deals faster, Inge wrote. The same can be said for customer service workers.

“[Customer service workers fluent in AI] know how to interpret AI outputs, write clear prompts, and troubleshoot when things go off script,” Inge said. “That combination of human judgment and AI fluency is hard to find and well worth the extra pay.”

In fields like marketing and science, even single AI skills can yield large returns, while more technical positions gravitate to specialists with advanced machine learning or generative AI expertise.

Crucially, the most valued AI-enabled roles demand more than just technical wizardry. Employers prize a hybrid skillset: communication, leadership, problem-solving, research, and customer service are among the 10 most-requested skills in AI-focused postings, alongside technical foundations like machine learning and artificial intelligence.

“While generative AI excels at tasks like writing and coding, uniquely human abilities—such as communication, management, innovation, and complex problem-solving—are becoming even more valuable in the AI era,” the study says.

Winners and losers

The emerging repercussions are striking. Tech workers whose roles are readily automated face rising displacement—unless they can pivot quickly into emerging areas that meld business, technical, and people skills. Meanwhile, millions of workers outside of tech are poised to translate even basic AI literacy into new roles or wage gains. The competitive edge now lies with organizations and professionals agile enough to combine AI capabilities with human judgement, creativity, and business acumen.

For companies, the risk is clear: treating AI as an isolated technical specialty is now a liability. Winning firms are investing to embed AI fluency enterprise-wide, upskilling their marketing teams, HR departments, and finance analysts to build a future-ready workforce.

AI may be the source of turmoil in Silicon Valley boardrooms, but its economic dividends are flowing rapidly to workers—and companies—in every corner of the economy. For those able to adapt, AI skills are not a harbinger of job loss, but a passport to higher salaries and new career possibilities. Still, the research doesn’t indicate exactly where in the income levels the higher postings are coming, so Napper said it’s possible that we are seeing some compression, with higher-paid tech jobs being phased out and lower-paying positions being slightly better-paying.

Napper said the trend of AI skills cropping up in job postings has exploded over the past few years, and he doesn’t expect a slowdown anytime soon. Napper said there’s a “cost to complacency”—one that includes a significant salary cut. He added that the 28% premium, Lightcast plans to release follow-up research on what level of the income latter the trend is hitting the most.

For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing. 

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人工智能 就业市场 技能需求 职业发展 AI转型
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