Three Hornets' Nests and a Light: Industry 4.0, "Artificial Intelligence" and the Employment Apocalypse: From Technological Fetishism to Well-Governed Knowledge

Debates on technological transformation frequently conflate three distinct propositions: the arrival of a new industrial era, the attribution of intelligence to computational systems, and the wholesale disappearance of human work. This article subjects these claims to standards of demarcation, evidence and causality, distinguishing genuine advances from their commercial interpretation. It examines the semantic limitations of language models, the mechanisms through which tasks are displaced or created, the thermodynamic costs of computation, and the scarcity of attention that makes opportunistic decisions easier. Drawing upon agro-industrial processes, it proposes a constructive alternative: purposeful, human-centric organisations driven by testable knowledge and capable of correcting their decisions under different possible futures. Keywords: Industry 4.0; artificial intelligence; employment; knowledge; thermodynamics; attention; agro-industrial processes; governance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23874231
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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preprint

Three Hornets' Nests and a Light: Industry 4.0, "Artificial Intelligence" and the Employment Apocalypse: From Technological Fetishism to Well-Governed Knowledge

Carlos Léger Sherman-Palmer
1 links
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Three Hornets' Nests and a Light: Industry 4.0, "Artificial Intelligence" and the Employment Apocalypse: From Technological Fetishism to Well-Governed Knowledge

Carlos Léger Sherman-Palmer
preprint en

Abstract

Debates on technological transformation frequently conflate three distinct propositions: the arrival of a new industrial era, the attribution of intelligence to computational systems, and the wholesale disappearance of human work. This article subjects these claims to standards of demarcation, evidence and causality, distinguishing genuine advances from their commercial interpretation. It examines the semantic limitations of language models, the mechanisms through which tasks are displaced or created, the thermodynamic costs of computation, and the scarcity of attention that makes opportunistic decisions easier. Drawing upon agro-industrial processes, it proposes a constructive alternative: purposeful, human-centric organisations driven by testable knowledge and capable of correcting their decisions under different possible futures. Keywords: Industry 4.0; artificial intelligence; employment; knowledge; thermodynamics; attention; agro-industrial processes; governance.

Zenodo (CERN European Organization for Nuclear Research)
Université de Bordeaux (FR)
Decent work and economic growth
Ethics and Social Impacts of AI
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