在人工智能时代，最宝贵的技能并非“旧的不去，新的不来”，恰恰相反，反而是那些“旧的”技能依然重要。
When it comes to the most valuable skills in the AI era it's not out with the old and in with the new. It's actually in with the old.
10月6日，在纽约市举行的福布斯“未来工作”峰会上，多位人才高管和商业领袖向CNBC Make It表达了这一观点。
That's what talent executives and business leaders told CNBC Make It at Forbes' Future of Work Summit in New York City on Oct. 6.
招聘平台Greenhouse的首席执行官丹尼尔·切特（Daniel Chait）表示：“由于技术变化极快，关键已不再在于具体的技术，而是比以往任何时候都更加依赖于那些持久稳定的特质或能力。过去常被贬低为‘软技能’、认为‘没那么重要’的能力，如今却变得至关重要。”以下是当下职场人士应重点培养的一些技能：好奇心：沃尔玛首席人才官洛林·“洛”·斯托姆斯基（Lorraine “Lo” Stomski）表示，保持终身学习的心态能为你带来更多机会。
"Because the technologies are changing so fast, it's less to do with specific technologies, and more than ever to do with durable characteristics or capabilities," said Daniel Chait, CEO of hiring platform Greenhouse. "The things that used to be demeaned as like, 'Oh, they're soft skills; they're not as important,' are now much more primary." Here are some of the skills workers should focus on developing today: Curiosity Being a lifelong learner opens you up to more opportunities, said Lorraine "Lo" Stomski, Walmart's chief talent officer.
同样，安永（EY）美洲区首席人才与文化官吉妮·卡利尔（Ginnie Carlier）认为，“学习本身正在成为一种元技能。”她指出：“学习正是支撑你掌握所有其他技能的核心能力。”
Likewise, Ginnie Carlier, the Americas chief talent and culture officer at EY, believes "learning is becoming a meta skill." "It's really the skill that underlies your ability to build all the other skills," Carlier said.
适应力与韧性：切特表示，适应力和韧性如今也至关重要，因为新工具几乎每天都在涌现，员工需要迅速熟悉并掌握它们。
Adaptability and resilience Being adaptable and resilient are also key today, Chait said, since new tools are cropping up seemingly every day, and employees are expected to quickly familiarize themselves with them.
切特说：“在我们所处的当今世界，硬技能往往转瞬即逝。你学会一个工具，它很快流行起来，随后又被淘汰，而明天又会有新的工具需要学习。”
"In the world that we're in now, hard skills are much more ephemeral," Chait said. "You learn a tool, it gets popular, and then it goes away, and there's new tools to learn tomorrow."
他补充道：“如果你能展现出学习的能力，就能证明你具备适应、成长以及以各种不同方式创造价值的潜力——这正是企业渴望看到的。”
"If you can demonstrate your ability to learn, you can demonstrate your ability to adapt and grow, and deliver value in all kinds of different ways," Chait added, "that's something companies are eager to see."
批判性思维与判断力：斯托姆斯基表示，在招聘初级职位时，雇主正在“提高要求与期望”。许多传统的初级岗位职责“已不再”像以前那样重要，因为雇主期待人工智能能够协助完成甚至替代这些任务。
Critical thinking and judgment When it comes to entry-level hiring employers are "elevating the requirements and the expectations," said Stomski. Many traditional entry-level responsibilities simply "are no longer" as employers expect AI can assist with or complete those tasks.
相反，雇主期望“你能够以更高的水平加入，并运用批判性思维和判断力”，Stomski补充道。
Instead, employers expect that "you're coming in at a higher level and you're practicing critical thinking and judgment," Stomski added.
Carlier表示，你应该对输入和输出AI工具的内容进行有意义的评估，她称这是一种“AI责任”。她说，员工应对质量保持审慎，从而能够自信地“为结果负责”。“这不仅仅是你操作键盘的能力问题，”Carlier说道。
You should be meaningfully evaluating what you're feeding into, and getting out of, AI tools, said Carlier, who calls this a kind of "AI responsibility." She said workers should be discerning about quality so that they feel confident "standing behind the outcomes." "It's not just about your ability to put hands on keyboards," Carlier said.
AI特定技能：尽管其中许多技能早已存在，但如今对员工有益的一些能力却是全新的。
AI-specific skills While many of these are age-old skills, some of the competencies that'll benefit workers today are new.
例如，许多雇主表示，AI流利度在其组织中至关重要。但Indeed公司AI副总裁兼AI创新负责人Hannah Calhoon指出，仅凭这一点其实意义不大。
For example, many employers say AI fluency is important in their organization. But that alone doesn't mean much, said Hannah Calhoon, Indeed's VP of AI and Head of AI Innovation.
“它已经成了新的‘数字素养’，”她说，“这确实是一个很好的口号。”然而，许多组织并未明确界定它们期望员工在工作中培养和使用哪些具体的AI技能。这意味着员工“正在努力瞄准一个并不清晰的目标”，Calhoon说道。
"It's become the new 'digital literacy,'" she said, in that "it's a really great catchphrase." But many organizations aren't clear about exactly what AI skills they expect workers to develop and use at work. That means employees are left "shooting for a target that is not clear," Calhoon said.
她将“基本的AI流利度”描述为对AI工具运作方式、其擅长与不擅长的领域、潜在风险，以及如何审查和“质疑”所获答案的基本理解。
She would describe a "general AI fluency" as a basic understanding of how AI tools work, what they can and can't do well, where there are risks, and how to review and "interrogate" the answers you receive.
但这一标准因部门而异。“不同人对AI流利度的定义差异很大，”她说，并指出雇主应明确说明对员工在AI方面的期望。
归根结底：如今并不存在某种神奇的技能组合能够保证员工取得成功。
But that varies widely by department. "The AI fluency definition is pretty different for different folks," she said, noting that employers should be explicit about what they expect of their workforces when it comes to AI.
低招聘、低解雇的环境意味着一些员工可能会感到职位停滞，但在组织内部或外部都缺乏成长机会。与此同时，雇主则正应对地缘政治和经济不确定性等问题，同时还要承受人工智能带来的工作方式转型压力。综合来看，这些因素可能会给员工带来更多挑战。不过，保持现有技能敏锐，并积极主动地学习新技能，将大有裨益。
The bottom line There's no magic skillset that will guarantee workers' success today. low-hire, low-fire environment means some workers might feel stagnant in their roles but have few options to grow within or outside of their organizations. Employers, meanwhile, are grappling with issues like geopolitical and economic uncertainty as well as pressure to transform how they work due to AI.
“展示你独特的人类技能，并持续投入提升这些技能，正是让你脱颖而出的关键，”卡利尔说道。“有些事情是人工智能无法做到的，而人类却可以。”掌控你的资金，尽在CNBC Select。CNBC Select在编辑上保持独立，可能会通过联盟合作伙伴的链接赚取佣金。
Altogether, these factors could mean more challenges for employees. But keeping your existing skills sharp and readily pursuing new ones can help. "To demonstrate your unique human skills and your continuous investment in them is to differentiate yourself," Carlier said.
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