Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach

Abstract The impact of accelerated advancements in artificial intelligence (AI) on economic development remains a topic of debate in the current era. It is thought by some that AI has the potential to stimulate economic development; however, the precise function of AI remains uncertain. In order to investigate the influence of AI on economic growth in 30 European countries between 2000 and 2021, this study employed both the symmetric (PMG-ARDL) and asymmetric (PMG-NARDL) models. The ARDL model's results suggest that AI has a stimulating effect on economic development. A 0.217% increase in long-term economic growth is associated with an increase in AI. In the NARDL model, the growth of the economy was observed to be increased by 0.026% as a result of positive shocks to the positive AI variable. Conversely, negative shocks were found to have a negative impact, with a decrease of 0.029% in economic growth. It is posited that AI may stimulate economic development by increasing efficiency, promoting economies of scale, enhancing the quality of products and services, and improving working conditions. Furthermore, the study identifies the displacement of employment, the rising costs of training and adaptation, and the expansion of economic and social inequality. To address these challenges, policymakers must facilitate the creation of alternative employment opportunities, promote the development of new AI-driven industries, and implement rehabilitation programs for workers at risk of automation. Balancing technological advancement with job preservation and high-quality employment necessitates a collaborative approach between public and private sectors.

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Publication Details

Journal
Journal of Economic Structures
Published
2024-12-31
DOI
https://doi.org/10.1186/s40008-024-00345-y
Citations
21
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
23.71

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article

Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach

Hamdi Becha, Kamel Helali, Maha Kalai
21 citations
Journal of Economic Structures
Energy, Environment, Economic Growth
23.71
article

Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach

Hamdi Becha, Kamel Helali, Maha Kalai
article en
21 citations

Abstract

Abstract The impact of accelerated advancements in artificial intelligence (AI) on economic development remains a topic of debate in the current era. It is thought by some that AI has the potential to stimulate economic development; however, the precise function of AI remains uncertain. In order to investigate the influence of AI on economic growth in 30 European countries between 2000 and 2021, this study employed both the symmetric (PMG-ARDL) and asymmetric (PMG-NARDL) models. The ARDL model's results suggest that AI has a stimulating effect on economic development. A 0.217% increase in long-term economic growth is associated with an increase in AI. In the NARDL model, the growth of the economy was observed to be increased by 0.026% as a result of positive shocks to the positive AI variable. Conversely, negative shocks were found to have a negative impact, with a decrease of 0.029% in economic growth. It is posited that AI may stimulate economic development by increasing efficiency, promoting economies of scale, enhancing the quality of products and services, and improving working conditions. Furthermore, the study identifies the displacement of employment, the rising costs of training and adaptation, and the expansion of economic and social inequality. To address these challenges, policymakers must facilitate the creation of alternative employment opportunities, promote the development of new AI-driven industries, and implement rehabilitation programs for workers at risk of automation. Balancing technological advancement with job preservation and high-quality employment necessitates a collaborative approach between public and private sectors.

Journal of Economic StructuresVol. 13(1)
University of Sfax (TN)
Université de Sfax
Decent work and economic growth
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
23.71
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