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Generative AI as A Catalyst For Self-Realization

Authors

Jorge Amilcar Vizcaino , Argentina

Abstract

The crisis of meaning in the modern era is characterized by constant change, existential anxiety, identity confusion, social isolation, and the fragmentation of traditional cultural myths and life narratives. These issues complicate the already challenging process of self-realisation, or individuation, as defined by Carl Jung. This study proposes Generative AI as a catalyst to support individuals throughout their life trajectories by integrating and modelling two distinct theoretical approaches: the Elliott Wave Principle (collective market analysis) and Jungian Archetypal Theory (depth psychology). This transdisciplinary framework is termed Individuation Wave Analysis (IWA). A Proof of Concept is presented involving biographical case studies of Carl Jung, Warren Buffett, and other historical and contemporary figures, analysed using DeepSeek AI. The study addresses the benefits of the IWA framework in enabling individuals to make more conscious and meaningful forward-looking decisions in their lifelong individuation journey, critically examines its limitations and potential for subjective bias, outlines necessary next steps for research and scientific validation, and identifies potential fields of application..

Keywords

Self-realization, Individuation, Elliott Wave Principle, Jungian Archetypal Theory, Psychological Education, Generative AI, DeepSeek AI.

Full Text  Volume 16, Number 1