美國(guó)就業(yè)市場(chǎng)目前的發(fā)布的崗位缺口達(dá)到了810萬個(gè)。這些用人企業(yè)究竟需要什么樣的人才呢,?對(duì)此,,很多求職者可能也摸不著頭緒。在過去的一年里,,大家都說AI技能是勞動(dòng)者最應(yīng)該掌握的技能,。不過據(jù)一項(xiàng)最新調(diào)查顯示,對(duì)于普通求職者來說,,那些以人為本的技能或許也是同樣重要的,。
根據(jù)就業(yè)平臺(tái)Upwork發(fā)布的一份最新研究報(bào)告,目前市場(chǎng)對(duì)專業(yè)的AI技能的需求仍然十分旺盛,。該研究選取了2024年1月1日至10月31日Upwork 數(shù)據(jù)庫(kù)中美國(guó)自由職業(yè)者的收入情況作為調(diào)查樣本,。
其中,生成式AI建模和AI數(shù)據(jù)標(biāo)注相關(guān)崗位的收入同比增長(zhǎng)220%,。但是職業(yè)發(fā)展類崗位(比如個(gè)人職業(yè)顧問等)的收入也同比增長(zhǎng)了74%,這說明隨著科技的進(jìn)步,,在一些企業(yè)培養(yǎng)員工隊(duì)伍新技能的過程中,,領(lǐng)導(dǎo)力和靈活性等“人本技能”依然是十分重要的。(以上同比增幅是根據(jù)這些自由職業(yè)者2024年與2023年同期的收入比例估算得出的,。
Upwork根據(jù)這些自由職業(yè)者的數(shù)據(jù),,找到了每個(gè)行業(yè)中收入增長(zhǎng)最快的前3項(xiàng)技能。雖然不同行業(yè)結(jié)果各異,,但從總體上看,,當(dāng)前就業(yè)市場(chǎng)上最需要的仍然是技術(shù)型人才和人力發(fā)展型人才,,或者兩者兼修型的人才,比如,,在會(huì)計(jì)和咨詢領(lǐng)域,,收入增長(zhǎng)最快的3項(xiàng)技能依次為:個(gè)人輔導(dǎo)、職業(yè)輔導(dǎo),、培訓(xùn)與發(fā)展,。在編程和網(wǎng)頁開發(fā)領(lǐng)域,收入增長(zhǎng)最快的3項(xiàng)技能分別為:編程與自動(dòng)化,、網(wǎng)頁設(shè)計(jì),、用戶體驗(yàn)/用戶界面。在數(shù)據(jù)科學(xué)與分析領(lǐng)域,,最重要的3項(xiàng)技能分別為:AI數(shù)據(jù)標(biāo)注,、知識(shí)表示、生成式AI建模,。
Upwork 研究所的執(zhí)行董事凱利·莫納漢對(duì)《財(cái)富》表示:“有一點(diǎn)很特殊,,而且我們探討的還不夠,那就是學(xué)習(xí)型技能的興起——也就是學(xué)會(huì)‘如何學(xué)習(xí)’,。我認(rèn)為,,當(dāng)下職場(chǎng)人最需要的就是學(xué)會(huì)在變局中如何因勢(shì)利導(dǎo)、豐富自我和靈活應(yīng)對(duì),?!?/p>
莫納漢還認(rèn)為,不能把AI技能純粹看作技術(shù)層面的東西,?!耙惶岬紸I,相關(guān)報(bào)道總是離不開它對(duì)生產(chǎn)力和效率的影響,,但是當(dāng)我們思考生成式AI的問題,,我們的思維不能局限于此。AI應(yīng)該成為一種工具,,我們要讓它幫助我們重新思考工作的本質(zhì),,也就是我們?yōu)槭裁匆鲞@些工作,我們應(yīng)該怎樣做這些工作,,以及我們能在這些工作中創(chuàng)造哪些價(jià)值,。”
莫納漢表示,,如果你想在求職中獲得競(jìng)爭(zhēng)優(yōu)勢(shì),,如果你想提升你的技術(shù)能力,那么現(xiàn)在各種資源隨時(shí)唾手可得?!皩W(xué)習(xí)這件事從來沒有像現(xiàn)在這樣平民化,。我指的不僅僅是獲取信息的渠道。比如你可以隨時(shí)隨地使用Coursera,、LinkedIn,、微軟或者亞馬遜的平臺(tái),獲取資源的途徑簡(jiǎn)直不要太多,。如果你想使用一家科技公司的工具,,他們還會(huì)為你提供必要的技能培訓(xùn),甚至幫你獲得應(yīng)的資質(zhì)認(rèn)證,?!保ㄘ?cái)富中文網(wǎng))
譯者:樸成奎
美國(guó)就業(yè)市場(chǎng)目前的發(fā)布的崗位缺口達(dá)到了810萬個(gè)。這些用人企業(yè)究竟需要什么樣的人才呢,?對(duì)此,,很多求職者可能也摸不著頭緒。在過去的一年里,,大家都說AI技能是勞動(dòng)者最應(yīng)該掌握的技能,。不過據(jù)一項(xiàng)最新調(diào)查顯示,對(duì)于普通求職者來說,,那些以人為本的技能或許也是同樣重要的,。
根據(jù)就業(yè)平臺(tái)Upwork發(fā)布的一份最新研究報(bào)告,目前市場(chǎng)對(duì)專業(yè)的AI技能的需求仍然十分旺盛,。該研究選取了2024年1月1日至10月31日Upwork 數(shù)據(jù)庫(kù)中美國(guó)自由職業(yè)者的收入情況作為調(diào)查樣本,。
其中,生成式AI建模和AI數(shù)據(jù)標(biāo)注相關(guān)崗位的收入同比增長(zhǎng)220%,。但是職業(yè)發(fā)展類崗位(比如個(gè)人職業(yè)顧問等)的收入也同比增長(zhǎng)了74%,,這說明隨著科技的進(jìn)步,在一些企業(yè)培養(yǎng)員工隊(duì)伍新技能的過程中,,領(lǐng)導(dǎo)力和靈活性等“人本技能”依然是十分重要的,。(以上同比增幅是根據(jù)這些自由職業(yè)者2024年與2023年同期的收入比例估算得出的。
Upwork根據(jù)這些自由職業(yè)者的數(shù)據(jù),,找到了每個(gè)行業(yè)中收入增長(zhǎng)最快的前3項(xiàng)技能,。雖然不同行業(yè)結(jié)果各異,但從總體上看,,當(dāng)前就業(yè)市場(chǎng)上最需要的仍然是技術(shù)型人才和人力發(fā)展型人才,,或者兩者兼修型的人才,比如,,在會(huì)計(jì)和咨詢領(lǐng)域,,收入增長(zhǎng)最快的3項(xiàng)技能依次為:個(gè)人輔導(dǎo),、職業(yè)輔導(dǎo),、培訓(xùn)與發(fā)展,。在編程和網(wǎng)頁開發(fā)領(lǐng)域,收入增長(zhǎng)最快的3項(xiàng)技能分別為:編程與自動(dòng)化,、網(wǎng)頁設(shè)計(jì),、用戶體驗(yàn)/用戶界面。在數(shù)據(jù)科學(xué)與分析領(lǐng)域,,最重要的3項(xiàng)技能分別為:AI數(shù)據(jù)標(biāo)注,、知識(shí)表示、生成式AI建模,。
Upwork 研究所的執(zhí)行董事凱利·莫納漢對(duì)《財(cái)富》表示:“有一點(diǎn)很特殊,,而且我們探討的還不夠,那就是學(xué)習(xí)型技能的興起——也就是學(xué)會(huì)‘如何學(xué)習(xí)’,。我認(rèn)為,,當(dāng)下職場(chǎng)人最需要的就是學(xué)會(huì)在變局中如何因勢(shì)利導(dǎo)、豐富自我和靈活應(yīng)對(duì),?!?/p>
莫納漢還認(rèn)為,不能把AI技能純粹看作技術(shù)層面的東西,?!耙惶岬紸I,相關(guān)報(bào)道總是離不開它對(duì)生產(chǎn)力和效率的影響,,但是當(dāng)我們思考生成式AI的問題,,我們的思維不能局限于此。AI應(yīng)該成為一種工具,,我們要讓它幫助我們重新思考工作的本質(zhì),,也就是我們?yōu)槭裁匆鲞@些工作,我們應(yīng)該怎樣做這些工作,,以及我們能在這些工作中創(chuàng)造哪些價(jià)值,。”
莫納漢表示,,如果你想在求職中獲得競(jìng)爭(zhēng)優(yōu)勢(shì),,如果你想提升你的技術(shù)能力,那么現(xiàn)在各種資源隨時(shí)唾手可得,?!皩W(xué)習(xí)這件事從來沒有像現(xiàn)在這樣平民化。我指的不僅僅是獲取信息的渠道,。比如你可以隨時(shí)隨地使用Coursera,、LinkedIn、微軟或者亞馬遜的平臺(tái),獲取資源的途徑簡(jiǎn)直不要太多,。如果你想使用一家科技公司的工具,,他們還會(huì)為你提供必要的技能培訓(xùn),甚至幫你獲得應(yīng)的資質(zhì)認(rèn)證,?!保ㄘ?cái)富中文網(wǎng))
譯者:樸成奎
What do employers really want? For job seekers trying to get hired and fill one of 8.1 million job openings in the U.S. right now, it can often be difficult to gauge. The demand to learn new AI skills has dominated the labor market discourse over the past year, but human-centric skills may be just as important when it comes to landing a new role, according to a new survey.
Certainly specialized AI skills remain in high demand, according to a new report from Upwork, an employment marketplace. The data is based on freelancer earnings in the United States from January 1 to October 31, 2024, within Upwork’s database.
Generative AI modeling and AI data annotation grew 220% year-over-year. But there has also been a 74% year-over-year rise in career and development roles, such as personal and career coaching, which points to the importance of flexibility and leadership as businesses reskill their workforce to adjust for technological advances. (Year-over-year growth was estimated by comparing freelancer earnings in 2024 to freelancer earnings over the same period in 2023.)
Upwork’s freelancer data was used to find the top 3 fastest-growing skills per industry. While results varied by category, there was an overarching emphasis on technical skills, human development skills, or some combination of the two. For example, the top 3 fastest growing skills for accounting and consulting companies were, in order: personal coaching, career coaching, and training and development. Within coding and web development professions the fastest growers were scripting and automation, web design, and UX/UI. For data science and analytics, the winners were AI data annotation and labeling, knowledge representation, and generative AI modeling.
“What is unique–and that we’re not talking enough about—is the rise of learning skills. Learning how to learn,” Kelly Monahan, managing director of the Upwork Research Institute, tells Fortune. “What I actually think the workforce needs right now is learning how to navigate and build resilience and agility to navigate the change.”
And Monahan believes AI skills aren’t purely technical. “As we think about the generative AI narrative, it’s much more than just efficiency and making the workforce productive, which I often see tied to the headlines,” Monahan says. “It’s actually supposed to be a tool that’s helping us rethink the very nature of how we do our jobs, why we do our jobs, and what value we can provide in light of that.”
For those looking to gain a competitive edge in the job hunt, Monahan says that there are resources everywhere you look to brush up on your technical skills. “Learning has never been more democratized. It’s not simply access to information. I mean, you can go on Coursera, LinkedIn, Microsoft, Amazon. There’s so much access. Any tech company that wants you to begin to utilize their tools is offering the necessary skills and training that’s required to credentialize what you need.”