Will Generative AI Bring Change: Technological Disruption and Redistribution in the United States?

The purpose of this article is to discuss, from the perspective of Original Institutional Economics (OIE), the potential implications of generative artificial intelligence (Gen-AI) for income redistribution in the United States. Specifically, we examine whether the proliferation of Gen-AI might shift the preferences of high-income groups towards nonmarket insurance and greater income redistribution due to their increased risk of future income loss. Considering the opinion that Gen-AI could be our final invention due to its potential for self-learning and incredible productivity, and recognizing Gen-AI’s disruptive potential for workers performing non-cognitive tasks, we argue that AI-based automation will require new institutional arrangements. These institutional arrangement changes would promote the redistribution of income generated through economic processes with minimal human participation. Such institutional arrangements are largely reflective of the OIE ideas of an economy of abundance and the institutionalization of good work, with the job as a socially constructed institution at its core.

Authors

Publication Details

Journal
Journal of Economic Issues
Published
2025-04-03
DOI
https://doi.org/10.1080/00213624.2025.2493528
Citations
1
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Will Generative AI Bring Change: Technological Disruption and Redistribution in the United States?

Novica Supić, Kosta Josifidis
1 citations
Journal of Economic Issues
Labor market dynamics and wage inequality
3.13
article

Will Generative AI Bring Change: Technological Disruption and Redistribution in the United States?

Novica Supić, Kosta Josifidis
article en
1 citations

Abstract

The purpose of this article is to discuss, from the perspective of Original Institutional Economics (OIE), the potential implications of generative artificial intelligence (Gen-AI) for income redistribution in the United States. Specifically, we examine whether the proliferation of Gen-AI might shift the preferences of high-income groups towards nonmarket insurance and greater income redistribution due to their increased risk of future income loss. Considering the opinion that Gen-AI could be our final invention due to its potential for self-learning and incredible productivity, and recognizing Gen-AI’s disruptive potential for workers performing non-cognitive tasks, we argue that AI-based automation will require new institutional arrangements. These institutional arrangement changes would promote the redistribution of income generated through economic processes with minimal human participation. Such institutional arrangements are largely reflective of the OIE ideas of an economy of abundance and the institutionalization of good work, with the job as a socially constructed institution at its core.

Journal of Economic IssuesVol. 59(2)
Openalex Percentile: Top 8%
Labor market dynamics and wage inequality
3.13
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.