为什么人文教育能帮助美国年轻人做好应对人工智能时代的准备


2026年6月12日 11:47 美国东部时间 / 哥伦比亚广播公司新闻(CBS News)

作者:梅根·塞鲁洛(Megan Cerullo)
梅根·塞鲁洛是驻纽约的CBS MoneyWatch记者,报道小企业、职场、医疗保健、消费者支出和个人理财话题。她经常做客哥伦比亚广播公司新闻24小时频道解读其报道内容。

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更新时间:2026年6月12日 / 上午11:52 美国东部时间 / 哥伦比亚广播公司新闻

计算机科学专业在美国大学校园里不再吃香,而新兴的“新热门”学科——比如批判性思维与沟通学——听起来可能似曾相识。

人工智能的出现为人文学科教育带来了新的光彩,职业专家表示,随着人工智能日益改变职场,人文学科培养的技能正是雇主看重的。

“人工智能正在取代智商,而非情商,”企业家阿伦·古普塔(Arun Gupta)说道,他是NobleReach基金会的首席执行官,该组织负责为公共部门招募人才,这里他用了“情商”(emotional quotient)的简称——也就是帮助组织高效运转的社交洞察力和推理能力。

对于正在思考最佳教育和职业道路的美国年轻人而言,随着人工智能日益影响就业市场,选择的风险颇高。古普塔表示,随着人工智能在各行业和职业中普及,攻读传统人文学科教育将让毕业生更容易获得成功。

他补充道:“人工智能可以自动化财务或计算机科学技能,但情商——即对问题的理解能力——才是人的核心特质。”

克里斯托弗·里姆(Christopher Rim)是纽约市教育咨询公司Command Education的创始人兼首席执行官,该公司帮助高中生及其家庭规划大学申请流程。他表示,创造力以及创造性解决问题的能力,能让毕业生脱颖而出。

“雇主未来会越来越青睐那些能够横向思考、挑战固有假设,并带来大型语言模型无法生成的独特视角的人才,”他告诉哥伦比亚广播公司新闻,“随着人工智能在技术执行方面的能力不断增强,单纯的技术知识本身不再能成为竞争优势。”

学会如何学习

专家里姆指出,企业重视的技能“颇具讽刺意味的是,正是人文学科教育的基石”。

相比之下,许多大学生学习的以职业为导向的硬技能,随着人工智能的发展,在劳动力市场的价值可能会降低,尤其是对于过去本应由年轻员工完成的任务而言。

因此,大学生应该专注于“学会如何学习”,丽贝卡·塔伯·斯特埃林(Rebecca Taber Staehelin)说道,她是非营利组织Merit America的联合创始人兼联合首席执行官,该组织帮助低薪工人接受培训以获得更高薪的岗位。

“比起掌握某项工作的每一项技术细节,理解行业的核心原则、如何建立人际关系、良好沟通以及处理冲突更为重要,”她补充道,“拥有这些通用能力的人更能适应环境并蓬勃发展,而非那些只会‘我会用Java编程’的单行道人才——一旦Java编程的岗位消失,他们就会陷入困境。”

人工智能无法替代的能力

与前几代美国人不同,如今进入劳动力市场的劳动者应该做好从事多份职业、掌握一系列工作和技能的准备,而非局限于一条狭窄的职业道路。 versatility(多功能性)将是关键。

“进入职场的毕业生很可能不会找到与他们预期领域或理想职位完全匹配的工作,”里姆告诉哥伦比亚广播公司新闻,“因此,学生利用所学课程向未来雇主展示自己具备适应能力和多元才能,这一点至关重要。”

“我们的目标不是找到一个人工智能无法影响的专业,因为没有任何专业能完全免受技术变革的冲击,”迈克尔·伊茨科维茨(Michael Itzkowitz)补充道,他是专注于大学入学机会和经济流动性的组织HEA Group的创始人兼总裁。

对于即将进入大学的学生,伊茨科维茨建议专注于培养“沟通、批判性思维和解决问题的能力”,同时学会如何做出明智的判断——他表示,这是另一种人工智能无法替代的人类核心技能。

“关键是找到能帮助学生培养在技术变革时代仍具价值的技能的大学课程,”他说,“既然人工智能可以完成核心技术工作,其他技能的价值可能会越来越高。”

编辑:阿兰·谢尔特(Alain Sherter)

Why the liberal arts can help young Americans prepare for the era of AI

2026-06-12 11:47 EDT / CBS News

By Megan Cerullo
Megan Cerullo is a New York-based reporter for CBS MoneyWatch covering small business, workplace, health care, consumer spending and personal finance topics. She regularly appears on CBS News 24/7 to discuss her reporting.

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Updated on: June 12, 2026 / 11:52 AM EDT / CBS News

Computer science is out on U.S. college campuses, while the new “new” things — faculties like critical thinking and communication — may have a familiar ring.

The advent of artificial intelligence is giving a new shine to a liberal arts education, which career experts say nurtures the skills valued by employers as AI increasingly changes the workplace.

“Artificial intelligence is coming after IQ, not EQ,” said entrepreneur Arun Gupta, CEO of NobleReach Foundation, an organization that recruits people to the public sector, using the shorthand for “emotional quotient” — the kind of intelligence, social awareness and reasoning abilities that help organizations tick.

For young Americans pondering the best educational and professional path, the stakes are high as AI increasingly impacts the job market. Pursuing a traditional liberal arts education will position graduates for success as AI diffuses across industries and professions, Gupta said.

AI “can automate the financial or computer science skill, but EQ — the understanding of the problem — is the human dynamic,” he added.

Christopher Rim, founder and CEO of Command Education, a New York City company that helps advise high school students and their families on the college admissions process, said that creativity — along with creative problem-solving — helps set graduates apart from their peers.

“What employers will increasingly be looking for are people who can think laterally, challenge assumptions and bring a perspective that can’t be generated by a large language model,” he told CBS News. “As AI becomes more capable of handling technical execution, raw technical knowledge becomes less of a differentiating quality on its own.”

Learning how to learn

Skills that companies will value “are, somewhat ironically, the cornerstones of a liberal arts education,” Rim noted.

By contrast, some of the career-focused hard skills that many college students learn could have less value in the labor market as AI advances, especially for tasks that would’ve once been performed by younger employees, according to experts.

As a result, what undergraduates should focus on is “learning how to learn,” said Rebecca Taber Staehelin, co-founder and co-CEO of Merit America, a nonprofit that helps train low-wage workers for higher-paying roles.

“It’s less important that you know how to do every technical aspect of a job than it is to understand the principles of the industry, how to build relationships, communicate well and manage conflict,” she added. “Individuals with those general muscles are better able to adapt and thrive versus a one-trick pony who says, ‘I know how to code in Java, and if that Java coding job goes away, I am up a creek.’”

What AI can’t replace

Unlike previous generations of Americans, workers entering the labor market today should also expect to have several careers, involving a range of jobs and skills, rather than pursuing a narrower professional track. Versatility will be key.

“It is highly likely that graduates entering the workforce will not land a job that is squarely in their intended field or desired position,” Rim told CBS News. “As such, it is important that students leverage their coursework to show future employers that they are adaptable and multi-talented.”

“The goal isn’t to find a major that AI isn’t going to affect, because no major will be completely protected from technological change,” added Michael Itzkowitz, founder and president of the HEA Group, an organization focused on college access and economic mobility.

For students entering college, Itzkowitz recommends focusing on developing “communication, critical-thinking and problem-solving skills,” while also learning how to exercise sound judgment — another deeply human skill that he said AI can’t replace.

“It’s about finding a college program that helps students build skills that will remain valuable as tech changes,” he said. “With AI doing the hardcore technical work, other skill sets may be increasingly more valuable.”

Edited by Alain Sherter

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