
人工智能技能需求旺盛,人力資源部門需要提高薪資水平才能招募到這類人才。研究公司Lightcast最新報(bào)告發(fā)現(xiàn),若雇主在職位描述中添加人工智能技能要求,其每年在薪資方面的支出或?qū)⑸蠞q28%。與人工智能相關(guān)的技能包括對(duì)大型語言模型(如ChatGPT和微軟Copilot)的熟練運(yùn)用,以及提示詞工程、文本摘要等能力。
Lightcast對(duì)2024年超13億份招聘啟事進(jìn)行的一項(xiàng)分析發(fā)現(xiàn),招聘啟事中至少列出一項(xiàng)人工智能或生成式人工智能技能的職位,其平均年薪相較于未列出此類技能的職位高出18000美元。其中約51%的人工智能職位并非來自科技行業(yè),這一比例較2022年的44%有所上升。
Lightcast研究副總裁科爾·納珀(Cole Napper)在接受HR Brew采訪時(shí)表示:“在我們看到的幾乎所有職業(yè)領(lǐng)域的職位描述中,人工智能正變得越來越普遍。”
納珀指出,人工智能技能不再局限于科技或信息技術(shù)類崗位,對(duì)人工智能技能需求增速最快的崗位是招聘專員和人力資源專員。
他表示,若企業(yè)無法緊跟這一趨勢(shì),可能錯(cuò)失人才。
納珀說:“雇主之間存在分歧,有些雇主表示:‘我們不會(huì)涉足該領(lǐng)域,目前也看不到這樣做的必要性。’另一些雇主表示:招聘宜早不宜遲,因?yàn)槿绻蘸笤僭噲D追趕,成本會(huì)更高。”
納珀補(bǔ)充道,這是供需問題。越來越多的雇主要求應(yīng)聘者具備人工智能技能,然而掌握此類技能的員工數(shù)量卻未見增長。他認(rèn)為,勞動(dòng)力市場(chǎng)會(huì)通過技能提升與再培訓(xùn)來適應(yīng)這種需求變化,但這需要時(shí)間。
他表示:“總是存在滯后效應(yīng),因?yàn)槿藗冃枰獣r(shí)間培養(yǎng)技能。”(財(cái)富中文網(wǎng))
本報(bào)告最初由HR Brew發(fā)布。
譯者:中慧言-王芳
人工智能技能需求旺盛,人力資源部門需要提高薪資水平才能招募到這類人才。研究公司Lightcast最新報(bào)告發(fā)現(xiàn),若雇主在職位描述中添加人工智能技能要求,其每年在薪資方面的支出或?qū)⑸蠞q28%。與人工智能相關(guān)的技能包括對(duì)大型語言模型(如ChatGPT和微軟Copilot)的熟練運(yùn)用,以及提示詞工程、文本摘要等能力。
Lightcast對(duì)2024年超13億份招聘啟事進(jìn)行的一項(xiàng)分析發(fā)現(xiàn),招聘啟事中至少列出一項(xiàng)人工智能或生成式人工智能技能的職位,其平均年薪相較于未列出此類技能的職位高出18000美元。其中約51%的人工智能職位并非來自科技行業(yè),這一比例較2022年的44%有所上升。
Lightcast研究副總裁科爾·納珀(Cole Napper)在接受HR Brew采訪時(shí)表示:“在我們看到的幾乎所有職業(yè)領(lǐng)域的職位描述中,人工智能正變得越來越普遍。”
納珀指出,人工智能技能不再局限于科技或信息技術(shù)類崗位,對(duì)人工智能技能需求增速最快的崗位是招聘專員和人力資源專員。
他表示,若企業(yè)無法緊跟這一趨勢(shì),可能錯(cuò)失人才。
納珀說:“雇主之間存在分歧,有些雇主表示:‘我們不會(huì)涉足該領(lǐng)域,目前也看不到這樣做的必要性。’另一些雇主表示:招聘宜早不宜遲,因?yàn)槿绻蘸笤僭噲D追趕,成本會(huì)更高。”
納珀補(bǔ)充道,這是供需問題。越來越多的雇主要求應(yīng)聘者具備人工智能技能,然而掌握此類技能的員工數(shù)量卻未見增長。他認(rèn)為,勞動(dòng)力市場(chǎng)會(huì)通過技能提升與再培訓(xùn)來適應(yīng)這種需求變化,但這需要時(shí)間。
他表示:“總是存在滯后效應(yīng),因?yàn)槿藗冃枰獣r(shí)間培養(yǎng)技能。”(財(cái)富中文網(wǎng))
本報(bào)告最初由HR Brew發(fā)布。
譯者:中慧言-王芳
AI skills are in demand, and HR will need to fork over higher salaries to recruit this talent. Adding AI skills to job descriptions could cost employers 28% more in annual compensation, a recent report from research firm Lightcast found. AI-related skills can include expertise with large language models (LLMs), like ChatGPT and Microsoft CoPilot, as well as prompt engineering, text summarization, and more.
A Lightcast analysis of over 1.3 billion job postings in 2024 found roles advertising at least one AI or generative AI skill offered $18,000 more in annual compensation on average than those that did not. Some 51% of these AI roles were not in tech-related industries, up from 44% in 2022.
“AI is becoming more and more pervasive throughout all of the job descriptions that we’re seeing for virtually any different career area,” Cole Napper, VP of research at Lightcast, told HR Brew.
No longer are AI skills only associated with tech or IT roles, Napper said, and the roles that are seeing the biggest rise in AI skill demand are recruiters and HR pros.
Companies that don’t keep up with this trend, he said, could miss out on talent.
“There is a divergence that’s going on between employers who are saying, ‘We’re not leaning into this space. We’re not really seeing the need to do that,” Napper said. “It’s better to recruit sooner than later, because if you try to play catch up later, this is going to cost you even more.”
It’s a supply and demand issue, Napper added. More employers are demanding AI skills, but the supply of employees with these skills has stayed consistent, he said. He suspects the workforce will adjust through upskilling and reskilling, but this will take time.
“There is always a lagging effect, because it takes time for people to build skills,” he said.
This report was originally published by HR Brew.