Forks in the Road: Modelling the Economic Prospects of Artificial Intelligence

The incredible velocity at which artificial intelligence (AI) is changing the economic landscape poses unprecedented challenges to decision-makers, policy advisers, and academic researchers.At this stage of development, more than offering definitive answers, economic science should be prepared to raise the right questions: will AI lead us to a utopian future of sustained economic growth, balanced income distribution, and business opportunities for all, or must we be prepared to face a dark dystopia of slow growth, sharp income inequality, and large corporations that operate virtually without the need for human labour?There are many forks in the road and the direction we will follow is, by no means, at the current stage of knowledge, completely clear.This paper puts into perspective the mentioned bifurcation paths, first through a selective literature survey and, second, by assembling a stylised model of potential substitution of human labour by AI.

Authors

Publication Details

Journal
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH
Published
2024-09-17
DOI
https://doi.org/10.24818/18423264/58.3.24.07
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forks in the Road: Modelling the Economic Prospects of Artificial Intelligence

LINS DE MORAES Michelle, GOMES Orlando
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH
Innovation Diffusion and Forecasting
article

Forks in the Road: Modelling the Economic Prospects of Artificial Intelligence

LINS DE MORAES Michelle, GOMES Orlando
article en

Abstract

The incredible velocity at which artificial intelligence (AI) is changing the economic landscape poses unprecedented challenges to decision-makers, policy advisers, and academic researchers.At this stage of development, more than offering definitive answers, economic science should be prepared to raise the right questions: will AI lead us to a utopian future of sustained economic growth, balanced income distribution, and business opportunities for all, or must we be prepared to face a dark dystopia of slow growth, sharp income inequality, and large corporations that operate virtually without the need for human labour?There are many forks in the road and the direction we will follow is, by no means, at the current stage of knowledge, completely clear.This paper puts into perspective the mentioned bifurcation paths, first through a selective literature survey and, second, by assembling a stylised model of potential substitution of human labour by AI.

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCHVol. 58(3/2024)
Openalex Percentile: Top 81%
Innovation Diffusion and Forecasting
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.

Forks in the Road: Modelling the Economic Prospects of Artificial Intelligence — LINS DE MORAES Michelle, GOMES Orlando · ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH (2024) | TGRS Research Map | TGRS