Parents are understandably anxious.
Artificial intelligence is moving quickly. Tools that did not exist three years ago can now draft memos, analyze financial statements, generate computer code, design marketing campaigns, and summarize legal briefs. Headlines routinely suggest that entire categories of entry-level jobs may disappear or be radically redefined.
In this environment, it’s natural for families to ask a pointed question: What should my child study to remain employable?
For many, the instinctive answer is to pursue something narrowly technical, such as computer science, data analytics, engineering, or another field closely connected to the AI economy. A liberal arts education can seem, by comparison, abstract or even indulgent.
But a growing body of commentary and research suggests that this conclusion may misunderstand what artificial intelligence does, and what it does not. Far from diminishing the value of a liberal arts education, the rise of AI may be clarifying its importance.
AI Amplifies Information. It cannot Replace Judgment.
A recent Washington Post opinion essay by Greg Weiner, president of Assumption University in Worcester, Massachusetts, argued that the most valuable use of artificial intelligence is not to replace human judgment but to enhance it. AI systems are extraordinarily good at pattern recognition, summarization, and optimization. They can process enormous volumes of data at speeds no human can match.
But AI systems do not possess judgment in the human sense. They do not weigh competing moral claims, interpret cultural nuance, navigate ambiguity, or assume responsibility for decisions that affect other people. An AI cannot, in short, be accountable.
This distinction is everything.
When technology makes information abundant and accessible, the scarce resource becomes discernment. Discernment is the ability to interpret, contextualize, and make wise decisions. That capacity has long been at the center of a liberal arts education.
The skills most closely associated with the arts, humanities, social sciences, and natural sciences, namely critical thinking, analytical reasoning, persuasive writing, ethical reflection, and collaborative problem-solving, are precisely the capacities that allow individuals to work effectively alongside AI rather than be displaced by it.
In other words, artificial intelligence increases the premium on human judgment.
What Employers Say They Want
According to a 2023 survey of more than 1,000 executives and hiring managers conducted by the American Association of Colleges and Universities in partnership with Morning Consult, 93 percent of employers identified written and oral communication, critical thinking, and ethical judgment as important skills for recent graduates.
Those are not coding languages. They are not software platforms. They are distinctly human capabilities.
Similarly, research published by Ithaka S+R examining the economic value of a “liberal” education found that exposure to core liberal arts features; namely broad curricula, experiential learning, and engagement with diverse perspectives; is positively associated with higher GPAs, stronger six-year graduation rates, and greater likelihood of pursuing graduate education. Graduates exposed to these features also reported higher levels of career adaptability.
Adaptability may be the most important finding. In a workforce shaped by accelerating technological change, the capacity to pivot and learn new systems, interpret new contexts, and redefine one’s role is likely more valuable than mastery of any single tool that may become obsolete.
The False Choice Between Liberal Arts and Technology
One of the more encouraging themes across recent commentary is the rejection of a false binary: liberal arts versus AI.
Institutions such as Dartmouth’s Tuck School have emphasized that teaching AI literacy to liberal arts students is essential. Understanding how generative models work, where they are useful, and where they are unreliable is itself a form of critical thinking.
Community colleges and liberal arts institutions alike are embedding data science, entrepreneurship, and technological fluency into broader educational frameworks. The goal is not to produce technologists alone, but graduates who understand technology’s capabilities and limitations.
This integrated approach reflects an important shift. The question is no longer whether students should learn about AI. They should. The question is whether that learning is embedded within a broader intellectual formation that cultivates judgment, communication, and ethical reasoning.
The evidence suggests that the most durable preparation for the AI economy combines technical familiarity with distinctly human skills.
Business Leaders Are Not Asking for Narrow Specialists
Commentaries by Andy Molinsky in Forbes and Rob Porter in career-focused Vault reinforce this point from a corporate perspective. Business leaders consistently cite the importance of interpersonal competence, cross-cultural communication, adaptability, and the ability to navigate ambiguity.
Artificial intelligence can draft a market analysis. It cannot build trust across a divided team. It can summarize research. It cannot persuade skeptical stakeholders or negotiate complex human conflicts.
In fact, as AI automates more technical tasks, the human aspects of leadership become more visible and more valuable. Managers will increasingly supervise not only people but also AI systems, the latter requiring both technological literacy and ethical discernment.
This is why some business commentators argue that liberal arts education cultivates precisely the skills organizations struggle to find: synthesis across disciplines, empathy in communication, and the capacity to frame problems in broader social contexts.
The Global Workforce Perspective
The World Economic Forum’s ongoing analysis of workforce trends consistently highlights the growing importance of analytical thinking, resilience, creativity, and social influence. These are durable capabilities that transcend specific industries. Technological acceleration intensifies the need for these skills.
If entry-level technical tasks are increasingly automated, then the competitive advantage shifts upward toward interpretation, integration, and leadership. Those capacities are less about memorizing content and more about cultivating habits of mind. A liberal education, at its best, is precisely about forming those habits.
For Parents: What Should You Look For?
None of this suggests that any college labeled “liberal arts” automatically delivers these outcomes. Nor does it mean that technical fields lack value. Parents who worry whether their child should study engineering or English, data science or history, are missing the bigger picture.
The pertinent question is: Will this institution teach my child how to think, communicate, and adapt in a world where technology evolves rapidly?
When evaluating colleges, parents might look for several signals:
- AI literacy across disciplines. Are students taught how AI tools function, how to question their outputs, and how to use them responsibly?
- Experiential learning. Internships, research projects, and applied coursework help students connect theory to practice.
- Interdisciplinary integration. Does the institution encourage students to connect technical knowledge with ethical, social, and historical understanding?
- Strong writing and communication requirements. In an age of automated content generation, clear human communication remains indispensable.
The goal is to integrate these technologies into the curricula, so students develop capabilities that complement them throughout their careers.
For Higher Education Leaders: A Communication Challenge
There is also a message here for college presidents and trustees.
For too long, the defense of liberal arts education has sometimes sounded nostalgic or reactive. In the AI era, that posture is insufficient. Institutions must articulate clearly how their programs prepare students to thrive alongside technology.
That means embracing AI as a tool while emphasizing the human capacities that technology cannot replicate. It means moving beyond simplistic earnings comparisons five years after graduation and instead presenting evidence of long-term adaptability and leadership outcomes.
It also requires curricular clarity. Embedding AI literacy into general education, strengthening interdisciplinary programs, and assessing communication and critical thinking outcomes are strategic necessities.
The encouraging news is that many institutions are already thinking in this direction, if not moving toward it. The challenge is ensuring that families understand the shift.
Taking the Long View
Fears of technological displacement are not new. The industrial revolution, the rise of computing, and the advent of the internet each prompted concerns about the future of work. What endured across those transitions was the value of individuals who could interpret change, adapt their skills, and lead others through uncertainty.
Artificial intelligence is a powerful tool. It has already reshaped workflows, redefined job descriptions, and altered entry-level roles. It will continue to do so with accelerating efficacy. But that can never eliminate the need for judgment, empathy, creativity, or ethical reasoning. In fact, it heightens the need for them.
For parents deciding how best to prepare their children for an uncertain future, the most reassuring conclusion may be this: Education that cultivates distinctly human capacities is priceless in the age of AI.
A liberal arts education, especially one that integrates technological fluency, will retain value and remain durable amid troubling AI-driven workforce trends. Students who prioritize uniquely human capabilities as a part of their education will be prepared for decades of change.
Reflecting on my education journey, I chose to pursue an MBA after majoring in history with minors in English and German. My writing and critical thinking skills served me well throughout my career. Even now, my thirst and quest for lifelong learning have motivated me to work with various LLMs since the public availability of ChatGPT in November 2022.
Of the different articles I read to support the creation of this blog piece, I found a statement by Patrick Wheeler, Executive Director of the Tuck Center for Digital Strategies, to be most relevant.
“The choice isn’t whether AI will change early-career work; it’s whether students learn to collaborate with it or compete against it.”
Mr. Wheeler argues that liberal arts grads need a framework for understanding how AI will shape their future careers as well as hands-on experience using AI tools. While Mr. Wheeler is making a pitch for students to attend one of Tuck’s (Dartmouth’s school of business) business bridge courses, his advice is spot on.
AI will get better; that’s the nature of these language models. One of its advantages is its speed, as well as the billions and billions of articles and other data in its dataset. Workers who learned to collaborate with AI and how to think critically, thus enabling their ability to work and shape the output of an AI-generated memo, will be more valuable than those who choose not to use it or to fight it.
As more faculty consider how to reshape their courses and program curricula to adapt to the changes enabled by AI, I expect that successful liberal arts faculty will focus on the many ways their students can leverage their critical thinking skills to collaborate with AI. If so, we may see a shift in student demand for the broader education that liberal arts programs offer, as well as in employer demand for their graduates.
