The Paradox of High IQ: Cognitive Optimization and the Social Mechanism of Mental Stagnation

This paper examines the paradox of high intelligence in modern knowledge societies, arguing that the pursuit of cognitive optimization—both individual and algorithmic—has led to systemic forms of mental stagnation. Within environments that reward efficiency, memory, and pattern recognition over adaptive reasoning, individuals and institutions become trapped in informational feedback loops that suppress uncertainty, tension, and creative synthesis. Drawing on tension theory and recent literature on cognitive capitalism and AI standardization, the paper reinterprets intelligence not as a static measure of ability but as an emergent property of equilibrium between intuitive and deliberative cognition (System 1 and System 2). When this equilibrium collapses under optimization pressure, the result is a form of cognitive rigidity observable at both neural and institutional levels—a social analog to dementia in which societies remember everything yet understand little. The analysis situates this cognitive phenomenon within the political economy of knowledge production and proposes a framework for reintroducing “tension” as a vital source of intellectual resilience in algorithmic cultures. (AI-assisted writing disclosed in compliance with OSF policy.)

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-20
DOI
https://doi.org/10.5281/zenodo.17400572
Primary Topic
Socio-political and Technological Issues
Type
article
Field-Weighted Citation Impact
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article

The Paradox of High IQ: Cognitive Optimization and the Social Mechanism of Mental Stagnation

Zenodo (CERN European Organization for Nuclear Research)
Socio-political and Technological Issues
article

The Paradox of High IQ: Cognitive Optimization and the Social Mechanism of Mental Stagnation

article en

Abstract

This paper examines the paradox of high intelligence in modern knowledge societies, arguing that the pursuit of cognitive optimization—both individual and algorithmic—has led to systemic forms of mental stagnation. Within environments that reward efficiency, memory, and pattern recognition over adaptive reasoning, individuals and institutions become trapped in informational feedback loops that suppress uncertainty, tension, and creative synthesis. Drawing on tension theory and recent literature on cognitive capitalism and AI standardization, the paper reinterprets intelligence not as a static measure of ability but as an emergent property of equilibrium between intuitive and deliberative cognition (System 1 and System 2). When this equilibrium collapses under optimization pressure, the result is a form of cognitive rigidity observable at both neural and institutional levels—a social analog to dementia in which societies remember everything yet understand little. The analysis situates this cognitive phenomenon within the political economy of knowledge production and proposes a framework for reintroducing “tension” as a vital source of intellectual resilience in algorithmic cultures. (AI-assisted writing disclosed in compliance with OSF policy.)

Zenodo (CERN European Organization for Nuclear Research)
Jinwen University of Science and Technology (TW)
Openalex Percentile: Top 36%
Socio-political and Technological Issues
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The Paradox of High IQ: Cognitive Optimization and the Social Mechanism of Mental Stagnation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS