Jack Clark, a cofounder of Anthropic and a former literature student, recently advised that liberal arts majors remain highly valuable in the artificial intelligence era. Speaking at Semafor's World Economy Summit, Clark highlighted that studying philosophy, history, and storytelling provides essential context for shaping the future of AI. He noted that while many might assume technical skills are the only path to success, understanding human narratives and historical patterns has become critically relevant to the industry in ways previously unanticipated. Clark emphasized that the most promising areas of study are those that foster synthesis across diverse subjects. He argued that majors requiring analytical thinking and the ability to integrate different fields will grow in importance. According to Clark, the primary skill students should cultivate is the ability to ask the right questions. He explained that success in AI relies heavily on possessing intuitions that draw from various disciplines to identify interesting problems and unique insights, rather than just executing pre-defined tasks. Regarding technical proficiency, Clark suggested that rote programming should be avoided as a primary focus. This view aligns with sentiments expressed by his Anthropic colleagues, including Boris Cherny, creator of Claude Code, who has indicated that the traditional title of software engineer may be phased out as technology moves up the stack. While Clark acknowledged that some fundamental technical knowledge is necessary, he stressed that the industry is shifting away from basic coding tasks toward higher-level conceptual work. Ultimately, Clark argued that degrees seemingly mismatched with the AI age are actually quite worthwhile. He pointed out that Anthropic currently employs philosophers, questioning the notion that a philosophy degree does not lead to strong job prospects. By combining domain expertise from the humanities with an understanding of technology, professionals can develop the depth and breadth needed to navigate the complexities of AI development. The core message of his advice is that the intersection of diverse intellectual traditions and modern technology creates a fertile ground for innovation, making a broad educational foundation more valuable than narrow specialization alone.