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The rise of generative AI has sparked fears that humanities disciplines—long built on careful interpretation, deep questioning, and rich archives—will be rendered obsolete. But as New Yorker essayist D. Graham Burnett argues, AI’s takeover of routine scholarship actually clears the way for humanists to return to their true calling: exploring what it means to be human.
Students and professors alike feel overwhelmed. When AI can generate monographs and parse vast archives in seconds, traditional assignments lose their grip. Yet this “tsunami” of automation forces a reckoning: if machines handle facts and analysis, humanists must lean into uniquely human strengths—creativity, moral inquiry, and the art of asking unanswerable questions.
For decades, universities chased scientistic prestige, producing endless data-driven papers few read. Burnett sees a silver lining: with AI automating knowledge production, the humanities regain room for what always mattered—stories, lived experience, and the “non-coercive rearranging of desire” that defines true education.
AI can simulate our archive, but it cannot live our lived experience. The great questions—How to live? Why face death?—aren’t solved by datasets. They demand reflection, dialogue, and the resonance of human consciousness. In confronting AI’s limitations, we rediscover what our disciplines were built for.
Rather than lament AI’s advance, humanists should embrace this moment as a “conceptual win.” Freed from factory-style scholarship, universities can reimagine curricula around critical thinking, ethical responsibility, and world-making. The challenge now is to harness AI as a mirror, reflecting back our humanity and inspiring the next generation of thinkers.
Q1: Does AI really threaten humanities jobs?
AI excels at pattern recognition and content generation, making routine research and writing tasks faster. But it can’t replace roles centered on mentorship, critical pedagogy, and the crafting of new questions—core to humanities professions.
Q2: How can students thrive in an AI-driven classroom?
Focus on projects that AI can’t automate: original research questions, collaborative debates, creative portfolios, and experiential learning. Educators should design assignments that require personal insight and reflective judgment.
Q3: What’s the future of scholarly publishing?
Monographs and journal articles will evolve. Expect more multimedia essays, interactive archives, and AI-augmented publications that prioritize narrative, interpretation, and ethical context over sheer data.
Sources The New Yorker