當(dāng)新技術(shù)出現(xiàn)時(shí),我們經(jīng)常會(huì)聽到它將如何徹底實(shí)現(xiàn)工作變革,但它并不總是像宣傳的那樣。原因是什么?
還記得通用汽車(General Motors)建造了一座“未來(lái)工廠”,讓機(jī)器人完成幾乎所有的工作嗎?只是存在一個(gè)問(wèn)題:機(jī)器人經(jīng)常出錯(cuò)。別克(Buick)轎車最終安裝了凱迪拉克(Cadillac)汽車的保險(xiǎn)杠,噴漆也出現(xiàn)了各種問(wèn)題,因此,生產(chǎn)成本實(shí)際上超過(guò)了以前由人主導(dǎo)生產(chǎn)的成本。該系統(tǒng)缺乏能夠快速解決問(wèn)題、創(chuàng)造性思考和實(shí)時(shí)解決問(wèn)題的人類。
如今,當(dāng)商業(yè)領(lǐng)袖們想象人工智能新時(shí)代可能會(huì)帶來(lái)什么時(shí),一定要警惕:盡管我們可以看到,人工智能以各種方式推動(dòng)業(yè)務(wù)向前發(fā)展,提升效率、推動(dòng)創(chuàng)建秩序、為創(chuàng)造力創(chuàng)造空間——但如果不實(shí)施同樣重要的人才戰(zhàn)略來(lái)充分利用人工智能的力量,那么這些就都是空談。
這就是為什么如今我詢問(wèn)其他高管的最重要的問(wèn)題并不是他們?nèi)绾瓮顿Y人工智能,而是“在這個(gè)人工智能新時(shí)代,你會(huì)投資于員工來(lái)實(shí)現(xiàn)哪些技能升級(jí)?”
對(duì)我來(lái)說(shuō),答案是久經(jīng)考驗(yàn)的:投資于批判性思維、創(chuàng)造力和情商等持久技能。這些基本素質(zhì)對(duì)所有員工都大有裨益,從一線員工到中等技能和后勤員工。這些技能將推動(dòng)企業(yè)做出更好的決策、提出新想法,并取得更優(yōu)異的成績(jī)。
在這種情況下,接受技能提升和培訓(xùn)至關(guān)重要,而了解能夠解鎖的新技能也至關(guān)重要。我們都認(rèn)為人工智能會(huì)實(shí)現(xiàn)業(yè)務(wù)變革,因此,我們理所當(dāng)然地希望員工可以熟練掌握人工智能的相關(guān)知識(shí),并相應(yīng)地進(jìn)行投資。
與此同時(shí),我們往往低估了持久技能,即以人為本的技能。這并不是指我們對(duì)這些技能的重視程度不足,而是指我們低估了培訓(xùn)的價(jià)值。持久技能是能夠培養(yǎng)的,而且可以推動(dòng)企業(yè)向前發(fā)展,就像新技術(shù)堆棧能夠創(chuàng)造巨大價(jià)值一樣。
如果我們不能取得平衡,未來(lái)的工作設(shè)想就無(wú)法實(shí)現(xiàn)。
持久技能處于緊缺狀態(tài)
另一種看待持久技能的方式是將其視為基礎(chǔ)專業(yè)技能。
持久技能反映了企業(yè)希望員工具備的一系列基本能力:果斷決策、批判性思維、創(chuàng)造性解決問(wèn)題、時(shí)間管理和協(xié)作。這些都是更加靈活的員工隊(duì)伍的特征,也是領(lǐng)導(dǎo)者們認(rèn)為應(yīng)該在當(dāng)前環(huán)境下最優(yōu)先考慮的事項(xiàng)之一。
持久技能,顧名思義,也就是更持久的技能。
持久技能的半衰期更長(zhǎng)——在許多情況下超過(guò)7.5年,而某些技術(shù)技能的半衰期只有30個(gè)月。這項(xiàng)投資可以為雇主和雇員帶來(lái)長(zhǎng)期回報(bào)。培養(yǎng)持久技能有助于確保我們?cè)诮?jīng)歷下一次技術(shù)變革的快速迭代時(shí)——請(qǐng)記住,ChatGPT甚至還不到兩年的歷史——我們的員工隊(duì)伍能夠以批判性的思維使用、管理和優(yōu)化新技術(shù)。
最近我們聯(lián)系的一家汽車制造公司闡述了這一平衡:高管們看到了人工智能和自動(dòng)化技術(shù)在快速提升技能以提高生產(chǎn)力和效率等方面的巨大潛力。例如,利用新技術(shù)可以更好地跟蹤供應(yīng)鏈管理。同時(shí),該公司的技能提升計(jì)劃在培養(yǎng)技術(shù)技能的同時(shí),還培養(yǎng)領(lǐng)導(dǎo)力、溝通能力和解決問(wèn)題能力等持久技能。該公司認(rèn)為,將培養(yǎng)技術(shù)技能與培養(yǎng)持久技能相結(jié)合,對(duì)于一線和中等技能員工最大限度地發(fā)揮新技術(shù)的潛力至關(guān)重要。
如今,許多雇主面臨的一大問(wèn)題是,與存在技術(shù)技能差距一樣,也存在持久技能差距。
世界經(jīng)濟(jì)論壇(World Economic Forum)的報(bào)告《未來(lái)就業(yè)》(Future of Jobs)指出,領(lǐng)導(dǎo)力、社會(huì)影響力和創(chuàng)造性思維等持久技能是高管和領(lǐng)導(dǎo)者最渴望擁有的特質(zhì)。但世界經(jīng)濟(jì)論壇的同一份報(bào)告強(qiáng)調(diào)了投資的不一致性:人工智能等領(lǐng)域的技能提升投資明顯更多。
保持平衡
當(dāng)前的形勢(shì)要求領(lǐng)導(dǎo)者做一件非常直接但也很有挑戰(zhàn)性的事情:聽從自己的建議。
如果我們重視人工智能和新興技術(shù)帶來(lái)的持久、專業(yè)技能和能力,那么我們就必須同時(shí)培養(yǎng)這兩種技能和能力。甜蜜點(diǎn)來(lái)自于尋找平衡,而風(fēng)險(xiǎn)在于認(rèn)為平衡會(huì)奇跡般地到來(lái),而無(wú)需刻意追求。
人們通常認(rèn)為,持久技能來(lái)源于中學(xué)教育或以前的工作經(jīng)驗(yàn)。這可能合乎情理。不過(guò),我們所說(shuō)的技能也可能通過(guò)技能提升來(lái)獲得。
持久技能是通往領(lǐng)導(dǎo)崗位的關(guān)鍵紐帶,而這種紐帶往往是缺失的。進(jìn)行正確的投資能夠創(chuàng)造相關(guān)途徑。想想一線員工如何打下堅(jiān)實(shí)的基礎(chǔ),或是有人更進(jìn)一步擴(kuò)大了范圍,比如決定如何為公司戰(zhàn)略性地實(shí)施新技術(shù),而不是簡(jiǎn)單地使用。
同樣,你可以培訓(xùn)某人成為一名更有直覺(jué)力的提示工程師,你也能夠培養(yǎng)一名實(shí)力強(qiáng)悍的故事講述者、項(xiàng)目經(jīng)理或設(shè)計(jì)思考者。即使在人工智能驅(qū)動(dòng)的效率時(shí)代,仍然有數(shù)以百萬(wàn)計(jì)的工作崗位,以人為本的持久技能將至關(guān)重要,甚至由于人工智能將實(shí)現(xiàn)自動(dòng)化而變得更為重要。
為了推動(dòng)企業(yè)向前發(fā)展,我們必須在展望未來(lái)和已知的持久性之間取得平衡,并同時(shí)培養(yǎng)這兩種能力。(財(cái)富中文網(wǎng))
比賈爾·沙阿(Bijal Shah)是Guild的臨時(shí)首席執(zhí)行官。Guild是《財(cái)富》最具影響力的商界女性峰會(huì)的合作伙伴。
譯者:中慧言-王芳
當(dāng)新技術(shù)出現(xiàn)時(shí),我們經(jīng)常會(huì)聽到它將如何徹底實(shí)現(xiàn)工作變革,但它并不總是像宣傳的那樣。原因是什么?
還記得通用汽車(General Motors)建造了一座“未來(lái)工廠”,讓機(jī)器人完成幾乎所有的工作嗎?只是存在一個(gè)問(wèn)題:機(jī)器人經(jīng)常出錯(cuò)。別克(Buick)轎車最終安裝了凱迪拉克(Cadillac)汽車的保險(xiǎn)杠,噴漆也出現(xiàn)了各種問(wèn)題,因此,生產(chǎn)成本實(shí)際上超過(guò)了以前由人主導(dǎo)生產(chǎn)的成本。該系統(tǒng)缺乏能夠快速解決問(wèn)題、創(chuàng)造性思考和實(shí)時(shí)解決問(wèn)題的人類。
如今,當(dāng)商業(yè)領(lǐng)袖們想象人工智能新時(shí)代可能會(huì)帶來(lái)什么時(shí),一定要警惕:盡管我們可以看到,人工智能以各種方式推動(dòng)業(yè)務(wù)向前發(fā)展,提升效率、推動(dòng)創(chuàng)建秩序、為創(chuàng)造力創(chuàng)造空間——但如果不實(shí)施同樣重要的人才戰(zhàn)略來(lái)充分利用人工智能的力量,那么這些就都是空談。
這就是為什么如今我詢問(wèn)其他高管的最重要的問(wèn)題并不是他們?nèi)绾瓮顿Y人工智能,而是“在這個(gè)人工智能新時(shí)代,你會(huì)投資于員工來(lái)實(shí)現(xiàn)哪些技能升級(jí)?”
對(duì)我來(lái)說(shuō),答案是久經(jīng)考驗(yàn)的:投資于批判性思維、創(chuàng)造力和情商等持久技能。這些基本素質(zhì)對(duì)所有員工都大有裨益,從一線員工到中等技能和后勤員工。這些技能將推動(dòng)企業(yè)做出更好的決策、提出新想法,并取得更優(yōu)異的成績(jī)。
在這種情況下,接受技能提升和培訓(xùn)至關(guān)重要,而了解能夠解鎖的新技能也至關(guān)重要。我們都認(rèn)為人工智能會(huì)實(shí)現(xiàn)業(yè)務(wù)變革,因此,我們理所當(dāng)然地希望員工可以熟練掌握人工智能的相關(guān)知識(shí),并相應(yīng)地進(jìn)行投資。
與此同時(shí),我們往往低估了持久技能,即以人為本的技能。這并不是指我們對(duì)這些技能的重視程度不足,而是指我們低估了培訓(xùn)的價(jià)值。持久技能是能夠培養(yǎng)的,而且可以推動(dòng)企業(yè)向前發(fā)展,就像新技術(shù)堆棧能夠創(chuàng)造巨大價(jià)值一樣。
如果我們不能取得平衡,未來(lái)的工作設(shè)想就無(wú)法實(shí)現(xiàn)。
持久技能處于緊缺狀態(tài)
另一種看待持久技能的方式是將其視為基礎(chǔ)專業(yè)技能。
持久技能反映了企業(yè)希望員工具備的一系列基本能力:果斷決策、批判性思維、創(chuàng)造性解決問(wèn)題、時(shí)間管理和協(xié)作。這些都是更加靈活的員工隊(duì)伍的特征,也是領(lǐng)導(dǎo)者們認(rèn)為應(yīng)該在當(dāng)前環(huán)境下最優(yōu)先考慮的事項(xiàng)之一。
持久技能,顧名思義,也就是更持久的技能。
持久技能的半衰期更長(zhǎng)——在許多情況下超過(guò)7.5年,而某些技術(shù)技能的半衰期只有30個(gè)月。這項(xiàng)投資可以為雇主和雇員帶來(lái)長(zhǎng)期回報(bào)。培養(yǎng)持久技能有助于確保我們?cè)诮?jīng)歷下一次技術(shù)變革的快速迭代時(shí)——請(qǐng)記住,ChatGPT甚至還不到兩年的歷史——我們的員工隊(duì)伍能夠以批判性的思維使用、管理和優(yōu)化新技術(shù)。
最近我們聯(lián)系的一家汽車制造公司闡述了這一平衡:高管們看到了人工智能和自動(dòng)化技術(shù)在快速提升技能以提高生產(chǎn)力和效率等方面的巨大潛力。例如,利用新技術(shù)可以更好地跟蹤供應(yīng)鏈管理。同時(shí),該公司的技能提升計(jì)劃在培養(yǎng)技術(shù)技能的同時(shí),還培養(yǎng)領(lǐng)導(dǎo)力、溝通能力和解決問(wèn)題能力等持久技能。該公司認(rèn)為,將培養(yǎng)技術(shù)技能與培養(yǎng)持久技能相結(jié)合,對(duì)于一線和中等技能員工最大限度地發(fā)揮新技術(shù)的潛力至關(guān)重要。
如今,許多雇主面臨的一大問(wèn)題是,與存在技術(shù)技能差距一樣,也存在持久技能差距。
世界經(jīng)濟(jì)論壇(World Economic Forum)的報(bào)告《未來(lái)就業(yè)》(Future of Jobs)指出,領(lǐng)導(dǎo)力、社會(huì)影響力和創(chuàng)造性思維等持久技能是高管和領(lǐng)導(dǎo)者最渴望擁有的特質(zhì)。但世界經(jīng)濟(jì)論壇的同一份報(bào)告強(qiáng)調(diào)了投資的不一致性:人工智能等領(lǐng)域的技能提升投資明顯更多。
保持平衡
當(dāng)前的形勢(shì)要求領(lǐng)導(dǎo)者做一件非常直接但也很有挑戰(zhàn)性的事情:聽從自己的建議。
如果我們重視人工智能和新興技術(shù)帶來(lái)的持久、專業(yè)技能和能力,那么我們就必須同時(shí)培養(yǎng)這兩種技能和能力。甜蜜點(diǎn)來(lái)自于尋找平衡,而風(fēng)險(xiǎn)在于認(rèn)為平衡會(huì)奇跡般地到來(lái),而無(wú)需刻意追求。
人們通常認(rèn)為,持久技能來(lái)源于中學(xué)教育或以前的工作經(jīng)驗(yàn)。這可能合乎情理。不過(guò),我們所說(shuō)的技能也可能通過(guò)技能提升來(lái)獲得。
持久技能是通往領(lǐng)導(dǎo)崗位的關(guān)鍵紐帶,而這種紐帶往往是缺失的。進(jìn)行正確的投資能夠創(chuàng)造相關(guān)途徑。想想一線員工如何打下堅(jiān)實(shí)的基礎(chǔ),或是有人更進(jìn)一步擴(kuò)大了范圍,比如決定如何為公司戰(zhàn)略性地實(shí)施新技術(shù),而不是簡(jiǎn)單地使用。
同樣,你可以培訓(xùn)某人成為一名更有直覺(jué)力的提示工程師,你也能夠培養(yǎng)一名實(shí)力強(qiáng)悍的故事講述者、項(xiàng)目經(jīng)理或設(shè)計(jì)思考者。即使在人工智能驅(qū)動(dòng)的效率時(shí)代,仍然有數(shù)以百萬(wàn)計(jì)的工作崗位,以人為本的持久技能將至關(guān)重要,甚至由于人工智能將實(shí)現(xiàn)自動(dòng)化而變得更為重要。
為了推動(dòng)企業(yè)向前發(fā)展,我們必須在展望未來(lái)和已知的持久性之間取得平衡,并同時(shí)培養(yǎng)這兩種能力。(財(cái)富中文網(wǎng))
比賈爾·沙阿(Bijal Shah)是Guild的臨時(shí)首席執(zhí)行官。Guild是《財(cái)富》最具影響力的商界女性峰會(huì)的合作伙伴。
譯者:中慧言-王芳
When new technology arrives, we often hear how it will revolutionize work—but it doesn’t always live up to the hype. Why?
Remember when General Motors built a “factory of the future” designed to have robots doing just about everything? There was just one problem: The robots made mistakes, a lot. Buicks ended up with Cadillac bumpers. There were many painting errors. And production costs actually exceeded previous, people-led efforts. The system lacked humans, who could resolve issues quickly, think creatively, and problem-solve in real time.
Today, when business leaders imagine what this new era of AI might hold, be warned: For all the ways we can see AI driving our business forward—unlocking efficiency, driving order, creating space for creativity—it’s nothing without an equally valued talent strategy that fully leverages the power of AI.
That’s why the most important question I’m asking other executives today isn’t just how they’re investing in AI, but rather: “What skills are you investing in for your people in this new AI era?”
The answer, for me, is tried and true: Invest in durable skills like critical thinking, creativity, and emotional intelligence. These are essential qualities that help all workers, from those on the front line to middle-skill and back-office workers. And these skills drive businesses forward with better decisions, new ideas, and stronger results.
In this context, embracing upskilling and training is essential, as is understanding the skills we can unlock. We all think about AI changing our business, and, rightly, we want to get our workforce up to speed and invest accordingly.
At the same time, we tend to underestimate durable skills, also known as human-centric skills. Not in the way they’re valued, per se, but in the way we think about training. These skills can be nurtured, and they can propel businesses forward, in the same way a new technology stack can create outsize value.
The future of work won’t work if we don’t strike a balance.
Durable and in short supply
Another way of thinking about durable skills is as foundational professional skills.
They reflect a range of essential capabilities businesses want in their workforce: crisp decision-making, critical thinking, creative problem-solving, time management, and collaboration. These are attributes of a more agile workforce, which leaders identify as among their top priorities in this current environment.
Durable skills are also, as the name implies, more durable.
They have a longer half-life—more than 7.5 years in many cases, compared with 30 months for some technical skills. This investment yields longer-term returns for both employers and employees. Developing durable skills can help ensure that when we go through the next rapid iteration of technological change—remember, ChatGPT is not even two years old—we have workforces equipped to think critically about using, managing, and optimizing new technology.
An auto-manufacturing company we connected with recently articulated the balance; its executives see huge potential in rapid upskilling in AI and automation technology to increase productivity, efficiency, and more. Supply-chain management, for example, is better tracked with new technology. At the same time, its upskilling program nurtures durable skills—like leadership, communication, and problem-solving—alongside technical ones. This company sees the combination of these two things as critical for its frontline and middle-skills workforce to maximize the potential of new technology.
Today, a problem that many employers face is that there is a durable skills gap, as much as there is a technical skills gap.
The World Economic Forum’s Future of Jobs report identified durable skills like leadership, social influence, and creative thinking as among the attributes most coveted by executives and leaders. But the same WEF report highlighted an inconsistency in investment: There is significantly more upskilling investment in areas like AI.
Striking a balance
The current moment requires leaders to do something pretty straightforward but also challenging: Heed your own advice.
If we prize durable, professional skills and capabilities with AI and emerging technology, then we must develop both. The sweet spot comes in finding balance, and the risk is in thinking balance will arrive magically, without an intentional approach.
People often assume that durable skills are derived from experience in places like secondary education or a previous job. This can be true. The skills we are talking about, though, might also arrive through upskilling.
Durable skills serve as a critical, often missing, connection to leadership roles. And the right investments can create those pathways. Think of frontline workers building a solid foundation or someone further along expanding their scope, like deciding how to strategically implement new technology for their company versus simply using it.
In the same way, you can train someone to become a more intuitive prompt engineer; you can nurture a stronger storyteller, program manager, or design thinker. And even in an era of AI-driven efficiency, there are millions of jobs where human-centric, durable skills will be critical or even more important given the work that AI will automate.
To drive a business forward, we must balance looking ahead with what we know will endure—and cultivate both.
Bijal Shah is the interim CEO of Guild. Guild is a partner of the Fortune Most Powerful Women Summit.