I’d like to circle back to this because one labor market that IS predictable now is the one created by AI, so we’d better start thinking about those skills necessary to successfully navigate this future. In an AI-saturated world, the value of the humanities as described by @Wjs1107 will only become more relevant as they sit both upstream of the machine and downstream of its output. I believe AI will eventually even out the ROI playing field between STEM and humanities.
TLDR: In an AI world, STEM may build the tools, but the humanities decide how and whether they should be used. Colleges are right to re-emphasize the importance of the humanities, but the message needs to be bolder and accentuate how humanities graduates offer the communication, critical thinking, and problem-solving expertise to know how to think about AI and how to supervise it. Our son lives in the technical depth of this world; I view it philosophically from above. He and I often discuss how AI requires BOTH sets of expertise. It is not an either/or proposition.
Communication skills will become increasingly important. As AI floods workplaces with “good enough” language, exceptional communicators will stand out more, not less. The humanities teach people to frame arguments for specific audiences, detect ambiguity, manipulation, and hidden assumptions, and translate complex ideas effectively. Employers still need humans who can explain AI-driven decisions to regulators, clients, and the public as well as write policies, narratives, and messages that people actually understand and trust.
Critical thinking is how we will supervise AI. AI is excellent at pattern replication but poor at knowing when a pattern no longer applies, understanding causal vs. correlational reasoning, and recognizing ethical landmines it has never been trained to care about. The humanities teach students to question sources and incentives, analyze competing interpretations, and notice what is missing from a story which means that humanities graduates are well-positioned to evaluate AI outputs for bias, hallucination, or overconfidence. Critical thinkers compose better prompts and better follow-up questions and serve as the human editor and driver, not just the user. In an AI world, uncritical acceptance is a real liability.
Problem-solving/imagination skills will be critical to properly define the problems we want AI to assist with because many real-world problems are ill-defined, stakeholders disagree on goals, and values conflict. The humanities teach students to hold multiple perspectives at once, understand tradeoffs and unintended consequences, and work with ambiguity instead of rushing to false certainty. AI may be able to answer questions, but humanities graduates are good at asking the right ones.
Bottom Line: Technical skills date quickly (look what’s happening to coding). Interpretive skills age well. A humanities education prepares students to learn new tools rapidly, move across industries, and reframe themselves as roles evolve. In a labor market shaped by AI disruption, career resilience may be the most valuable outcome of all.
ETA: And let’s not get started on the ethical implications of this beast. Calling all philosophy majors…