
如果说2023年是AI令人震撼的一年,2024年是AI进入广泛试验的一年,那么2025年则标志着企业界终于达成共识:人工智能不再仅仅是新奇事物,它已成为新的工作基础设施。IBM企业社会责任副总裁兼首席影响力官贾斯汀娜・尼克松-桑蒂尔表示,关于AI的讨论已从根本上从好奇转向了紧迫的实际应用与融合。
近日,在纽约麦迪逊广场东南角IBM熠熠生辉的新旗舰办公室,尼克松-桑蒂尔接受了《财富》杂志的专访。她明确指出,2025年是全球各行各业终于对AI“恍然大悟”的一年。
“就在今年某个时候,我感觉讨论的风向变了,从‘哦,这些虚拟助手真酷’……转向了‘天哪,企业正在大规模投资AI,这真的在发生,并且正在重塑工作模式’。”尼克松-桑蒂尔说道。她指出,就在今年7月,行业小组仍在辩论是否应暂停AI开发。她对怀疑论者的回应直截了当:“不,AI带来的颠覆不会停止……正在发生的一切无法阻挡。我们必须迅速行动起来。”
“核心技能”的崛起
随着AI的普及成为必然,尼克松-桑蒂尔描述了关于工作被取代的焦虑是如何演变的。作为企业界与高校的高层联络人,她与众多大学广泛合作。她表示,“懂得如何使用AI”的定义正在改变。仅拥有技术熟练度已不足够;劳动力市场现在需要的是尼克松-桑蒂尔所谓的“核心技能”或“软技能”——具体来说,就是对算法输出进行人工监督与判断的能力。
“现在你不可能招聘一个大学生进来就只是为了做电子表格,”尼克松-桑蒂尔解释道,并强调重复性任务正迅速被自动化。她援引IBM的内部研究指出,现在的溢价在于“对工作有足够深的理解以做出正确判断、进行批判性思考等所有其他技能……而非技术技能。”虽然技术技能是基本要求,但对AI代理的工作进行判断的能力正成为就业市场上真正的区分因素。
这位IBM高管的言论与Upwork Research Institute董事总经理凯莉・莫纳汉(Kelly Monahan)的观点相呼应。莫纳汉在9月告诉《财富》,“人类正在重新回到工作循环中。”她补充道,这个全球自由职业者工作市场正看到“人类技能变得愈发重要”。这部分是对德意志银行所称“AI在夏天露出丑态”的回应,当时AI“幻觉”问题过于普遍,使得企业无法简单地将AI嵌入流程。因此,尼克松-桑蒂尔所指出的批判性思维的重要性在于:AI不会消失,但它也非万能灵药,因此找到善于使用AI的顶尖人才比以往任何时候都更重要。
全球咨询公司甫瀚咨询(Protiviti)将人才列为高管们迈向2026年面临的主要风险之一,一组专家对此表示担忧,认为这方面的技能缺口比他们记忆中任何时期都要大。据《财富》近日报道,连续14年参与甫瀚咨询年度风险调查的北卡罗来纳州立大学的马克・比斯利博士(Dr. Mark Beasley)告诉记者:“我们需要开始进行战略思考。我们如何才能培养出具有战略思维和批判性思维的人?”当被问及是否担心“思维缺口”时,他说:“是的。作为一名大学教授,是的,我担心。”
这个问题十分紧迫,因为美国经济仍陷于“低招聘、低解雇”的境地,应届大学毕业生失业率居高不下,入门级工作岗位骤减,而高管们对人才问题感到困惑。2025年第四季度商业圆桌会议(Business Roundtable)的CEO调查显示,更多CEO预计公司员工人数将减少而非增加,这已是连续第三个季度出现此情况。宏观政策视角公司(MacroPolicy Perspectives)的朱莉娅・科罗纳多(Julia Coronado)在甫瀚咨询的午餐会上告诉记者,如果这一问题得不到解决,入门级岗位的缺失将很快导致中层管理危机:“如果AI某种程度上取代了典型的入门级岗位,而我又需要中层人才,那么如果不让他们在基层获得那种能力,我如何为未来的中层做准备?”
需求爆发:沙特案例研究
从她的角度来看,尼克松-桑蒂尔持乐观态度,并强调了IBM已经开展的大规模员工技能提升工作。她告诉《财富》,获取技能的紧迫性导致培训需求激增,甚至超过了公司设定的激进目标。她特别提到IBM在2025年12月的宣布,即其在沙特阿拉伯的技能提升目标已大幅超额完成。
“作为IBM支持‘2030愿景’工作的一部分,我们在几年前承诺到2027年在沙特阿拉伯提升10万人的技能,”她透露,IBM刚刚突破了50万人的大关,比原计划提前了一年。这一与沙特通信和信息技术部合作实现的里程碑,凸显了各国正竞相使其劳动力适应“知识型、创新驱动型经济”。
关于通过IBM SkillsBuild项目合作的大学,尼克松-桑蒂尔表示,他们已基本放弃了禁止生成式AI的徒劳努力,意识到“学生无论如何都会使用它”。她说,她看到教学重心正在转向教授负责任使用AI的指南并整合AI基础课程,因为认识到学生入学时已对AI工具具备基本的熟悉度。重点已转向帮助这一代作为“AI原住民”进入高等教育的学生做好步入职场的准备。
这位副总裁透露她有两个大学年龄的孩子,并告诉《财富》,她给他们的建议与给她遇到的所有学生的建议相同:确保你不是在用AI代替学习某个主题;用它来辅导你或深化某个主题的理解,但确保你不是用它来生成你需要的所有成果。她说她看到大学生使用AI的方式与职场人类似:“它通过帮你快速入门或分析大量数据并提供一些想法来帮助你,对吧?在某些情况下,它会为你生成一些东西,但你也必须做出判断。你必须审核它。你必须确保其中有你自己的声音,我认为让人们理解这一点很重要。”(财富中文网)
译者:朴成奎
如果说2023年是AI令人震撼的一年,2024年是AI进入广泛试验的一年,那么2025年则标志着企业界终于达成共识:人工智能不再仅仅是新奇事物,它已成为新的工作基础设施。IBM企业社会责任副总裁兼首席影响力官贾斯汀娜・尼克松-桑蒂尔表示,关于AI的讨论已从根本上从好奇转向了紧迫的实际应用与融合。
近日,在纽约麦迪逊广场东南角IBM熠熠生辉的新旗舰办公室,尼克松-桑蒂尔接受了《财富》杂志的专访。她明确指出,2025年是全球各行各业终于对AI“恍然大悟”的一年。
“就在今年某个时候,我感觉讨论的风向变了,从‘哦,这些虚拟助手真酷’……转向了‘天哪,企业正在大规模投资AI,这真的在发生,并且正在重塑工作模式’。”尼克松-桑蒂尔说道。她指出,就在今年7月,行业小组仍在辩论是否应暂停AI开发。她对怀疑论者的回应直截了当:“不,AI带来的颠覆不会停止……正在发生的一切无法阻挡。我们必须迅速行动起来。”
“核心技能”的崛起
随着AI的普及成为必然,尼克松-桑蒂尔描述了关于工作被取代的焦虑是如何演变的。作为企业界与高校的高层联络人,她与众多大学广泛合作。她表示,“懂得如何使用AI”的定义正在改变。仅拥有技术熟练度已不足够;劳动力市场现在需要的是尼克松-桑蒂尔所谓的“核心技能”或“软技能”——具体来说,就是对算法输出进行人工监督与判断的能力。
“现在你不可能招聘一个大学生进来就只是为了做电子表格,”尼克松-桑蒂尔解释道,并强调重复性任务正迅速被自动化。她援引IBM的内部研究指出,现在的溢价在于“对工作有足够深的理解以做出正确判断、进行批判性思考等所有其他技能……而非技术技能。”虽然技术技能是基本要求,但对AI代理的工作进行判断的能力正成为就业市场上真正的区分因素。
这位IBM高管的言论与Upwork Research Institute董事总经理凯莉・莫纳汉(Kelly Monahan)的观点相呼应。莫纳汉在9月告诉《财富》,“人类正在重新回到工作循环中。”她补充道,这个全球自由职业者工作市场正看到“人类技能变得愈发重要”。这部分是对德意志银行所称“AI在夏天露出丑态”的回应,当时AI“幻觉”问题过于普遍,使得企业无法简单地将AI嵌入流程。因此,尼克松-桑蒂尔所指出的批判性思维的重要性在于:AI不会消失,但它也非万能灵药,因此找到善于使用AI的顶尖人才比以往任何时候都更重要。
全球咨询公司甫瀚咨询(Protiviti)将人才列为高管们迈向2026年面临的主要风险之一,一组专家对此表示担忧,认为这方面的技能缺口比他们记忆中任何时期都要大。据《财富》近日报道,连续14年参与甫瀚咨询年度风险调查的北卡罗来纳州立大学的马克・比斯利博士(Dr. Mark Beasley)告诉记者:“我们需要开始进行战略思考。我们如何才能培养出具有战略思维和批判性思维的人?”当被问及是否担心“思维缺口”时,他说:“是的。作为一名大学教授,是的,我担心。”
这个问题十分紧迫,因为美国经济仍陷于“低招聘、低解雇”的境地,应届大学毕业生失业率居高不下,入门级工作岗位骤减,而高管们对人才问题感到困惑。2025年第四季度商业圆桌会议(Business Roundtable)的CEO调查显示,更多CEO预计公司员工人数将减少而非增加,这已是连续第三个季度出现此情况。宏观政策视角公司(MacroPolicy Perspectives)的朱莉娅・科罗纳多(Julia Coronado)在甫瀚咨询的午餐会上告诉记者,如果这一问题得不到解决,入门级岗位的缺失将很快导致中层管理危机:“如果AI某种程度上取代了典型的入门级岗位,而我又需要中层人才,那么如果不让他们在基层获得那种能力,我如何为未来的中层做准备?”
需求爆发:沙特案例研究
从她的角度来看,尼克松-桑蒂尔持乐观态度,并强调了IBM已经开展的大规模员工技能提升工作。她告诉《财富》,获取技能的紧迫性导致培训需求激增,甚至超过了公司设定的激进目标。她特别提到IBM在2025年12月的宣布,即其在沙特阿拉伯的技能提升目标已大幅超额完成。
“作为IBM支持‘2030愿景’工作的一部分,我们在几年前承诺到2027年在沙特阿拉伯提升10万人的技能,”她透露,IBM刚刚突破了50万人的大关,比原计划提前了一年。这一与沙特通信和信息技术部合作实现的里程碑,凸显了各国正竞相使其劳动力适应“知识型、创新驱动型经济”。
关于通过IBM SkillsBuild项目合作的大学,尼克松-桑蒂尔表示,他们已基本放弃了禁止生成式AI的徒劳努力,意识到“学生无论如何都会使用它”。她说,她看到教学重心正在转向教授负责任使用AI的指南并整合AI基础课程,因为认识到学生入学时已对AI工具具备基本的熟悉度。重点已转向帮助这一代作为“AI原住民”进入高等教育的学生做好步入职场的准备。
这位副总裁透露她有两个大学年龄的孩子,并告诉《财富》,她给他们的建议与给她遇到的所有学生的建议相同:确保你不是在用AI代替学习某个主题;用它来辅导你或深化某个主题的理解,但确保你不是用它来生成你需要的所有成果。她说她看到大学生使用AI的方式与职场人类似:“它通过帮你快速入门或分析大量数据并提供一些想法来帮助你,对吧?在某些情况下,它会为你生成一些东西,但你也必须做出判断。你必须审核它。你必须确保其中有你自己的声音,我认为让人们理解这一点很重要。”(财富中文网)
译者:朴成奎
If 2023 was the year of shock and 2024 was the year of experimentation, 2025 marks the moment the corporate world finally accepted that artificial intelligence is not just a novelty—it is the new infrastructure of work. According to Justina Nixon-Saintil, IBM’s Vice President of Corporate Social Responsibility and Chief Impact Officer, the conversation has fundamentally shifted from fascination to urgent integration.
In a recent interview with Fortune at IBM’s gleaming new flagship office at the southeastern corner of Madison Square in New York City, Nixon-Saintil pinpointed 2025 as the specific timeframe when “the penny dropped” for global industries.
“It was sometime this year where I feel like the conversation changed from, ‘Oh, there are these really cool virtual assistants’ … to, ‘Oh, wow, companies are investing in this in a big way, and this is actually happening, and it’s transforming work,'” Nixon-Saintil said. She noted that as recently as July, industry panels were still debating whether to halt development. Her response to the skeptics was blunt: “No, AI disruption is not stopping … there’s no stopping what’s happening. We have to quickly move to action.”
The rise of ‘power skills’
As the inevitability of AI has set in, Nixon-Saintil described seeing how the anxiety regarding job displacement has evolved. The VP, who works extensively with colleges as a top-level liaison from the corporate sector, said the definition of “knowing how to use AI” is changing. It is no longer enough to possess technical proficiency; the workforce now demands what Nixon-Saintil calls “power skills” or “soft skills”—specifically, the ability to apply human oversight to algorithmic output.
“You can’t hire a college student now to just come in and create a spreadsheet,” Nixon-Saintil explained, emphasizing that rote tasks are rapidly being automated. Citing IBM’s internal research, she said the premium is now on “understanding the work enough to make the right judgment calls, critical thinking, all of those other skills … not the tech skills.” While technical skills are a baseline requirement, the ability to exercise judgment over an AI agent’s work is becoming the true differentiator in employability.
The IBM executive’s remarks echoed those from Kelly Monahan, managing director of the Upwork Research Institute, who told Fortune in September that “humans are coming back into the loop.” Upwork, a global work marketplace for freelancers, was seeing “human skills coming into premium,” she added. This was in part a response to what Deutsche Bank termed “the summer AI turned ugly” as hallucinations proved too pervasive for companies to simply plug AI into their processes. Hence the importance of critical thinking identified by Nixon-Saintil: AI isn’t going away, but it isn’t a cure-all, either, so finding the top talent to use it is more important than ever.
Global consulting firm Protiviti highlighted talent as one of the major risks for executives heading into 2026, with a panel of experts voicing concern about a skills gap in this regard bigger than any they can remember. As recently reported by Fortune, North Carolina State University’s Dr. Mark Beasley, who has been affiliated with the annual Protiviti risk survey for 14 years, told reporters that “We need to start thinking strategically. How can we create strategic thinkers, critical thinkers?” When asked if he was worried about a “thinking gap,” he said: “Yes. As a university professor, yes, I am.”
It’s an urgent question with the U.S. still mired in a “low-hire, low-fire” economy, with an elevated unemployment rate for recent college graduates and a plunge in entry-level jobs as executives are mystified about the talent question. The Business Roundtable CEO survey for the fourth quarter of 2025 marked the third consecutive period in which more CEOs anticipated their company’s employment would decrease rather than increase. Julia Coronado of MacroPolicy Perspectives told reporters at the Protiviti luncheon that the missing entry-level jobs will soon lead to a crisis in middle management if this goes unaddressed: “If AI is sort of replacing the entry level typical positions, and I need people sort of in the middle, how do I prepare the future middle if I don’t give them that ability at the base?”
Exploding demand: The Saudi case study
From her standpoint, Nixon-Saintil is optimistic, highlighting the work IBM has done to upskill workers at scale already. The urgency to acquire skills has led to an explosion in demand for training that has outpaced even aggressive corporate targets, she told Fortune. She highlighted IBM’s announcement in December 2025 that it had vastly exceeded its upskilling goals in Saudi Arabia.
“We had committed a couple of years ago to upscale 100,000 people in Saudi Arabia” by 2027 as part of IBM’s work for Vision 2030, she said, revealing that IBM just passed the 500,000 mark, a year ahead of schedule. This milestone, achieved in collaboration with the Saudi Ministry of Communication and Information Technology, underscores how nations are racing to align their workforces with a “knowledge-based, innovation-driven economy.”
Regarding the universities she works with as part of IBM SkillsBuild, Nixon-Saintil said they had largely abandoned the futile effort to ban generative AI, realizing that “students are going to use it no matter what.” She said she’s seeing a shift toward teaching responsible-use guidance and integrating AI fundamental courses, recognizing that students are already arriving with baseline familiarity of AI tools. The focus has shifted to preparing a generation of students who are entering higher education as “AI natives.”
The VP revealed that she has two college-age kids, and she told Fortune that she gives them the same advice she gives all the students she meets: make sure that you’re not using AI instead of learning a topic; use it to tutor you or go deeper on a topic, but make sure you’re not using it to create all of the output that you need. She said she sees college kids using AI similar to how workers are: “It helps you by giving you a jumpstart or it helps you by analyzing a lot of data and giving you some ideas, right? And in some cases it will create something for you, but you also have to have that judgment call. You have to review it. You have to make sure your voice is in it, and I think that’s important for people to understand.”