The Friction Economy: Why Algorithmic Optimization Demands a Paradigm Shift Toward Governed Human Suffering

Modern technological advancements are driven by the imperative to minimize friction, cognitive effort, and systemic pain. However, as generative artificial intelligence compresses the marginal cost of execution and synthesis to zero, hyper-efficiency threatens to induce widespread intellectual and cultural homogenization. This paper proposes the framework of the "Friction Economy," asserting that authentic human agency, originality, and qualitative economic value do not originate from frictionless execution, but from the deliberate navigation of real-world adversity. By distinguishing between artificial loss-function constraints in machine models and the irreversible context generated by human existential risk, we argue that "governed human friction" constitutes the ultimate uncopyable capital in an automated society.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22957567
Primary Topic
Humanities and Social Sciences
Type
preprint
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The Friction Economy: Why Algorithmic Optimization Demands a Paradigm Shift Toward Governed Human Suffering

Min Jinseong
Zenodo (CERN European Organization for Nuclear Research)
Humanities and Social Sciences
preprint

The Friction Economy: Why Algorithmic Optimization Demands a Paradigm Shift Toward Governed Human Suffering

Min Jinseong
preprint en

Abstract

Modern technological advancements are driven by the imperative to minimize friction, cognitive effort, and systemic pain. However, as generative artificial intelligence compresses the marginal cost of execution and synthesis to zero, hyper-efficiency threatens to induce widespread intellectual and cultural homogenization. This paper proposes the framework of the "Friction Economy," asserting that authentic human agency, originality, and qualitative economic value do not originate from frictionless execution, but from the deliberate navigation of real-world adversity. By distinguishing between artificial loss-function constraints in machine models and the irreversible context generated by human existential risk, we argue that "governed human friction" constitutes the ultimate uncopyable capital in an automated society.

Zenodo (CERN European Organization for Nuclear Research)
Museum of London Archaeology (GB)
Reduced inequalities
Humanities and Social Sciences
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