DIGITAL COMMUNISM IN THE AGE OF ARTIFICIAL INTELLIGENCE: Artificial abundance, the devaluation of human labour, and the reconfiguration of economic value

The history of economics is inseparable from the evolution of the means of production. Every major technological transformation has altered the relationship between capital, labour, and the creation of wealth. Industrial mechanisation gradually replaced part of human physical effort with mechanical power. Computerisation subsequently automated many administrative, accounting, and information-processing operations. Today, generative artificial intelligence is introducing a different kind of rupture: it is directly involved in activities that traditionally relied on individuals’ cognitive, intellectual, and creative capacities. This transformation raises a fundamental question: what happens to the economic value of human labour when technologies make it possible to reproduce, accelerate, and standardise an increasingly large share of an individual’s productive capacities? The issue is not simply the possible disappearance of certain occupations. It concerns a deeper transformation in the mechanisms through which labour is valued. Artificial intelligence can substantially increase an individual’s productivity without guaranteeing a proportionate increase in remuneration. It may even reduce the market value of certain skills by making their use more accessible, faster, and less costly. We are therefore confronted with a paradox: individuals have access to increasingly powerful means of intellectual production, yet this increase in their productive capacity no longer necessarily secures them a stronger economic position. This contradiction is the starting point of our inquiry. We put forward the hypothesis that artificial intelligence is gradually separating three dimensions that were historically closely connected: the capacity to produce, the individual contribution to production, and the ability to capture a share of the wealth created. To analyse this transformation, we propose three organising concepts: digital communism, artificial abundance, and the tendency towards the devaluation of human labour. Our aim is not to argue that human labour is losing all economic usefulness, but to show that the conditions under which it is valued are changing. Value does not necessarily disappear: it shifts, becomes concentrated, and is recomposed.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23897330
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIGITAL COMMUNISM IN THE AGE OF ARTIFICIAL INTELLIGENCE: Artificial abundance, the devaluation of human labour, and the reconfiguration of economic value

Younes Bennane
2 links
Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Work Transformation
article

DIGITAL COMMUNISM IN THE AGE OF ARTIFICIAL INTELLIGENCE: Artificial abundance, the devaluation of human labour, and the reconfiguration of economic value

Younes Bennane
article en

Abstract

The history of economics is inseparable from the evolution of the means of production. Every major technological transformation has altered the relationship between capital, labour, and the creation of wealth. Industrial mechanisation gradually replaced part of human physical effort with mechanical power. Computerisation subsequently automated many administrative, accounting, and information-processing operations. Today, generative artificial intelligence is introducing a different kind of rupture: it is directly involved in activities that traditionally relied on individuals’ cognitive, intellectual, and creative capacities. This transformation raises a fundamental question: what happens to the economic value of human labour when technologies make it possible to reproduce, accelerate, and standardise an increasingly large share of an individual’s productive capacities? The issue is not simply the possible disappearance of certain occupations. It concerns a deeper transformation in the mechanisms through which labour is valued. Artificial intelligence can substantially increase an individual’s productivity without guaranteeing a proportionate increase in remuneration. It may even reduce the market value of certain skills by making their use more accessible, faster, and less costly. We are therefore confronted with a paradox: individuals have access to increasingly powerful means of intellectual production, yet this increase in their productive capacity no longer necessarily secures them a stronger economic position. This contradiction is the starting point of our inquiry. We put forward the hypothesis that artificial intelligence is gradually separating three dimensions that were historically closely connected: the capacity to produce, the individual contribution to production, and the ability to capture a share of the wealth created. To analyse this transformation, we propose three organising concepts: digital communism, artificial abundance, and the tendency towards the devaluation of human labour. Our aim is not to argue that human labour is losing all economic usefulness, but to show that the conditions under which it is valued are changing. Value does not necessarily disappear: it shifts, becomes concentrated, and is recomposed.

Zenodo (CERN European Organization for Nuclear Research)
Social and Media Studies Institute (MA)
Decent work and economic growth
Openalex Percentile: Top 8%
Digital Economy and Work Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon