The Future of Knowledge in the AI Era

Abstract

This conceptual reflection examines the future of knowledge in the era of artificial intelligence, with particular attention to tacit, experiential, social, and collective forms of knowing. It argues that knowledge cannot be reduced to codified information or AI-generated outputs, but develops through practice, experience, intuition, creativity, culture, emotion, and social interaction. Building on the notion of a “knowledge cliff,” the article considers the risk that increasing reliance on generative AI and automation may progressively reduce opportunities for individuals to develop tacit knowledge and human expertise. It further explores the changing relationships between AI, knowledge, power, and human agency, and questions whether AI can meaningfully participate in forms of knowing that are situated and socially constituted. The article concludes that the future of knowledge remains intrinsically human and collective, and calls for careful consideration of tacit knowing, culture, sociality, emotion, creativity, and collective intelligence when designing and using AI-based systems.