AI has made knowledge—the ability to produce information—cheap and accessible. The new currency is wisdom: knowing what matters, where to focus, and how to find purpose. This shifts the focus of work and education from learning facts to developing critical thinking, empathy, and judgment.

Linda Haviv studied philosophy because it challenged her to think without clear answers. This mindset is surprisingly relevant in the AI era, where ethical and systemic problems are complex and lack simple, deterministic solutions.

As AI automates technical fields like coding and even scientific discovery, cultural and economic value will shift to areas where human connection is irreplaceable, such as literature, art, and curation. This creates a 'revenge of the humanities' scenario where uniquely human skills become paramount.

Hank Green argues the past 20 years of prioritizing STEM education was a mistake. As AI automates technical tasks like coding, uniquely human, liberal-arts skills—understanding people, communication, cultural resonance, and storytelling—will become the key differentiators for value creation.

As AI automates technical and procedural tasks, professions requiring 'soft skills' like critical thinking, aesthetic judgment, and contextual understanding become more valuable. Fields like engineering may face more direct competition from AI, making a background in humanities a surprisingly strategic long-term career asset.

As AI transforms intelligence into a cheap utility, the competitive advantage is no longer knowing the most. Instead, value lies in discernment: applying creativity, judgment, taste, and ethics. The critical skill becomes identifying what truly matters, making wisdom more valuable than raw information.

As AI handles linear problem-solving, McKinsey is increasingly seeking candidates with liberal arts backgrounds. The firm believes these majors foster creativity and "discontinuous leaps" in thinking that AI models cannot replicate, reversing a long-standing trend toward STEM and business degrees.

Sam Harris argues that as AI automates technical and cognitive tasks like coding, the most valuable human jobs will be those where human creation and curation are intrinsically prized. This will cause a "revenge of the humanities," making degrees in arts and culture more relevant.

In an AI-driven world, education and career development must shift focus from deep, narrow knowledge (which AI can replicate) to 'horizontal skills.' These include critical thinking, reasoning, and judgment—essentially, knowing the right questions to ask the AI model to get the best results.