Between Insight and Algorithm: Can Artificial Intelligence Be a Subject of Creativity

Abstract

This theoretical essay explores, at the intersection of empirical analysis and philosophical-cognitive reflection, the nature and boundaries of human-generative AI interaction in creative professions, specifically journalism and science. The study aims to determine whether such interaction can transcend the instrumental-executive model and claim the status of “co-creation”, or whether fundamental differences between human and machine “thinking” pose an insurmountable barrier. The methodological framework comprises secondary data analysis (industry AI readiness indices, VTSIOM surveys), philosophical-cognitive analysis of the nature of creativity (insight, intentionality, the role of the “supraconscious”), and an illustrative case study of a dialogue with the DeepSeek AI model. The results show that in the media and journalism and science sectors, AI is actively used primarily for production and organizational processes, while remaining marginal to the core of creative activity - the generation of meanings and new knowledge. A comparison of the operational principles of machine intelligence (statistical pattern recombination, rule-following) with the non-algorithmizable nature of the creative act (insight, empathy, contextual understanding) confirms that contemporary “weak” AI functions as a tool of simulation rather than genuine creation. The author concludes that human - AI interaction follows an asymmetrically instrumental pattern: the human acts as the subject who sets goals, context, and criteria of meaning, while AI serves as a powerful support mechanism. This interaction cannot claim the status of “co-creation” in any existential or heuristic sense, which gives rise to a set of ethical and legal dilemmas including the diffusion of authorship, the need for rigorous verification, and the risk of professional deskilling.