Cognitive Species Divergence under AI: Judgment Authority, Irreversibility, and Occupational Survival

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Authors: Lucas Xiaochun Xu
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Abstract

Abstract The current wave of AI-induced occupational anxiety is commonly framed as a problem of insufficient technical proficiency or inadequate AI collaboration skills. This paper argues that such interpretations fundamentally misdiagnose the nature of displacement. Drawing on the Co-Evolutionary Science of Intelligence (CESI), this study demonstrates that occupational displacement under AI is structurally analogous to earlier automation shocks: it does not occur due to a lack of tool usage capability, but due to the erosion of human judgment authority within specific Judgment-Centric Epistemic Niches (J-CEN). We introduce Cognitive Species Divergence (CSD) as an irreversible bifurcation process emerging in the Cognitive Split Era (CSE), where individuals and groups diverge based on their capacity to reconstruct Irreversibility-Weighted Judgment Loops (IWJL) in AI-augmented environments. Under CESI, the decisive divide is not AI adoption or efficiency gains, but whether human actors retain structural ownership of irreversibility-bearing judgments as AI-Augmented Judgment Architects (AI-AJA), rather than being reduced to execution interfaces beneath AI-based Judgment Amplification Modules (AI-JAM). This paper reframes “career security” as a non-normative outcome governed by social physics and irreversibility dynamics, rather than rights, skills, or fairness. The findings contribute a civilization-scale interpretation of AI-driven labor transformation, with implications for AI governance, organizational design, and intelligence evolution.

Fields of Study & Subjects

Ethics and Social Impacts of AI Labor market dynamics and wage inequality Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Document type
Preprint