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未来工作并非由人工智能驱动,而是由人工智能赋能的工作人员驱动

Bijal Shah
2024-03-20

我们都认为人工智能会实现业务变革,因此,我们理所当然地希望员工能够熟练掌握人工智能的相关知识,并相应地进行投资。

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当新技术出现时,我们经常会听到它将如何彻底实现工作变革,但它并不总是像宣传的那样。原因是什么?

还记得通用汽车(General Motors)建造了一座“未来工厂”,让机器人完成几乎所有的工作吗?只是存在一个问题:机器人经常出错。别克(Buick)轿车最终安装了凯迪拉克(Cadillac)汽车的保险杠,喷漆也出现了各种问题,因此,生产成本实际上超过了以前由人主导生产的成本。该系统缺乏能够快速解决问题、创造性思考和实时解决问题的人类。

如今,当商业领袖们想象人工智能新时代可能会带来什么时,一定要警惕:尽管我们可以看到,人工智能以各种方式推动业务向前发展,提升效率、推动创建秩序、为创造力创造空间——但如果不实施同样重要的人才战略来充分利用人工智能的力量,那么这些就都是空谈。

这就是为什么如今我询问其他高管的最重要的问题并不是他们如何投资人工智能,而是“在这个人工智能新时代,你会投资于员工来实现哪些技能升级?”

对我来说,答案是久经考验的:投资于批判性思维、创造力和情商等持久技能。这些基本素质对所有员工都大有裨益,从一线员工到中等技能和后勤员工。这些技能将推动企业做出更好的决策、提出新想法,并取得更优异的成绩。

在这种情况下,接受技能提升和培训至关重要,而了解能够解锁的新技能也至关重要。我们都认为人工智能会实现业务变革,因此,我们理所当然地希望员工可以熟练掌握人工智能的相关知识,并相应地进行投资。

与此同时,我们往往低估了持久技能,即以人为本的技能。这并不是指我们对这些技能的重视程度不足,而是指我们低估了培训的价值。持久技能是能够培养的,而且可以推动企业向前发展,就像新技术堆栈能够创造巨大价值一样。

如果我们不能取得平衡,未来的工作设想就无法实现。

持久技能处于紧缺状态

另一种看待持久技能的方式是将其视为基础专业技能。

持久技能反映了企业希望员工具备的一系列基本能力:果断决策、批判性思维、创造性解决问题、时间管理和协作。这些都是更加灵活的员工队伍的特征,也是领导者们认为应该在当前环境下最优先考虑的事项之一。

持久技能,顾名思义,也就是更持久的技能。

持久技能的半衰期更长——在许多情况下超过7.5年,而某些技术技能的半衰期只有30个月。这项投资可以为雇主和雇员带来长期回报。培养持久技能有助于确保我们在经历下一次技术变革的快速迭代时——请记住,ChatGPT甚至还不到两年的历史——我们的员工队伍能够以批判性的思维使用、管理和优化新技术。

最近我们联系的一家汽车制造公司阐述了这一平衡:高管们看到了人工智能和自动化技术在快速提升技能以提高生产力和效率等方面的巨大潜力。例如,利用新技术可以更好地跟踪供应链管理。同时,该公司的技能提升计划在培养技术技能的同时,还培养领导力、沟通能力和解决问题能力等持久技能。该公司认为,将培养技术技能与培养持久技能相结合,对于一线和中等技能员工最大限度地发挥新技术的潜力至关重要。

如今,许多雇主面临的一大问题是,与存在技术技能差距一样,也存在持久技能差距。

世界经济论坛(World Economic Forum)的报告《未来就业》(Future of Jobs)指出,领导力、社会影响力和创造性思维等持久技能是高管和领导者最渴望拥有的特质。但世界经济论坛的同一份报告强调了投资的不一致性:人工智能等领域的技能提升投资明显更多。

保持平衡

当前的形势要求领导者做一件非常直接但也很有挑战性的事情:听从自己的建议。

如果我们重视人工智能和新兴技术带来的持久、专业技能和能力,那么我们就必须同时培养这两种技能和能力。甜蜜点来自于寻找平衡,而风险在于认为平衡会奇迹般地到来,而无需刻意追求。

人们通常认为,持久技能来源于中学教育或以前的工作经验。这可能合乎情理。不过,我们所说的技能也可能通过技能提升来获得。

持久技能是通往领导岗位的关键纽带,而这种纽带往往是缺失的。进行正确的投资能够创造相关途径。想想一线员工如何打下坚实的基础,或是有人更进一步扩大了范围,比如决定如何为公司战略性地实施新技术,而不是简单地使用。

同样,你可以培训某人成为一名更有直觉力的提示工程师,你也能够培养一名实力强悍的故事讲述者、项目经理或设计思考者。即使在人工智能驱动的效率时代,仍然有数以百万计的工作岗位,以人为本的持久技能将至关重要,甚至由于人工智能将实现自动化而变得更为重要。

为了推动企业向前发展,我们必须在展望未来和已知的持久性之间取得平衡,并同时培养这两种能力。(财富中文网)

比贾尔·沙阿(Bijal Shah)是Guild的临时首席执行官。Guild是《财富》最具影响力的商界女性峰会的合作伙伴。

译者:中慧言-王芳

当新技术出现时,我们经常会听到它将如何彻底实现工作变革,但它并不总是像宣传的那样。原因是什么?

还记得通用汽车(General Motors)建造了一座“未来工厂”,让机器人完成几乎所有的工作吗?只是存在一个问题:机器人经常出错。别克(Buick)轿车最终安装了凯迪拉克(Cadillac)汽车的保险杠,喷漆也出现了各种问题,因此,生产成本实际上超过了以前由人主导生产的成本。该系统缺乏能够快速解决问题、创造性思考和实时解决问题的人类。

如今,当商业领袖们想象人工智能新时代可能会带来什么时,一定要警惕:尽管我们可以看到,人工智能以各种方式推动业务向前发展,提升效率、推动创建秩序、为创造力创造空间——但如果不实施同样重要的人才战略来充分利用人工智能的力量,那么这些就都是空谈。

这就是为什么如今我询问其他高管的最重要的问题并不是他们如何投资人工智能,而是“在这个人工智能新时代,你会投资于员工来实现哪些技能升级?”

对我来说,答案是久经考验的:投资于批判性思维、创造力和情商等持久技能。这些基本素质对所有员工都大有裨益,从一线员工到中等技能和后勤员工。这些技能将推动企业做出更好的决策、提出新想法,并取得更优异的成绩。

在这种情况下,接受技能提升和培训至关重要,而了解能够解锁的新技能也至关重要。我们都认为人工智能会实现业务变革,因此,我们理所当然地希望员工可以熟练掌握人工智能的相关知识,并相应地进行投资。

与此同时,我们往往低估了持久技能,即以人为本的技能。这并不是指我们对这些技能的重视程度不足,而是指我们低估了培训的价值。持久技能是能够培养的,而且可以推动企业向前发展,就像新技术堆栈能够创造巨大价值一样。

如果我们不能取得平衡,未来的工作设想就无法实现。

持久技能处于紧缺状态

另一种看待持久技能的方式是将其视为基础专业技能。

持久技能反映了企业希望员工具备的一系列基本能力:果断决策、批判性思维、创造性解决问题、时间管理和协作。这些都是更加灵活的员工队伍的特征,也是领导者们认为应该在当前环境下最优先考虑的事项之一。

持久技能,顾名思义,也就是更持久的技能。

持久技能的半衰期更长——在许多情况下超过7.5年,而某些技术技能的半衰期只有30个月。这项投资可以为雇主和雇员带来长期回报。培养持久技能有助于确保我们在经历下一次技术变革的快速迭代时——请记住,ChatGPT甚至还不到两年的历史——我们的员工队伍能够以批判性的思维使用、管理和优化新技术。

最近我们联系的一家汽车制造公司阐述了这一平衡:高管们看到了人工智能和自动化技术在快速提升技能以提高生产力和效率等方面的巨大潜力。例如,利用新技术可以更好地跟踪供应链管理。同时,该公司的技能提升计划在培养技术技能的同时,还培养领导力、沟通能力和解决问题能力等持久技能。该公司认为,将培养技术技能与培养持久技能相结合,对于一线和中等技能员工最大限度地发挥新技术的潜力至关重要。

如今,许多雇主面临的一大问题是,与存在技术技能差距一样,也存在持久技能差距。

世界经济论坛(World Economic Forum)的报告《未来就业》(Future of Jobs)指出,领导力、社会影响力和创造性思维等持久技能是高管和领导者最渴望拥有的特质。但世界经济论坛的同一份报告强调了投资的不一致性:人工智能等领域的技能提升投资明显更多。

保持平衡

当前的形势要求领导者做一件非常直接但也很有挑战性的事情:听从自己的建议。

如果我们重视人工智能和新兴技术带来的持久、专业技能和能力,那么我们就必须同时培养这两种技能和能力。甜蜜点来自于寻找平衡,而风险在于认为平衡会奇迹般地到来,而无需刻意追求。

人们通常认为,持久技能来源于中学教育或以前的工作经验。这可能合乎情理。不过,我们所说的技能也可能通过技能提升来获得。

持久技能是通往领导岗位的关键纽带,而这种纽带往往是缺失的。进行正确的投资能够创造相关途径。想想一线员工如何打下坚实的基础,或是有人更进一步扩大了范围,比如决定如何为公司战略性地实施新技术,而不是简单地使用。

同样,你可以培训某人成为一名更有直觉力的提示工程师,你也能够培养一名实力强悍的故事讲述者、项目经理或设计思考者。即使在人工智能驱动的效率时代,仍然有数以百万计的工作岗位,以人为本的持久技能将至关重要,甚至由于人工智能将实现自动化而变得更为重要。

为了推动企业向前发展,我们必须在展望未来和已知的持久性之间取得平衡,并同时培养这两种能力。(财富中文网)

比贾尔·沙阿(Bijal Shah)是Guild的临时首席执行官。Guild是《财富》最具影响力的商界女性峰会的合作伙伴。

译者: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.

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