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Theoretical and Applied Economics
No. 2 / 2025 (643), Summer

Artificial intelligence as a disruptive force in economics: transformations, challenges, and future prospects

Bouchra Al MAWLA
Bucharest University of Economic Studies, Romania
George M. El KAZZI
American University of Science & Technology, Lebanon
Hiba S. OTHMAN
American University of Science and Technology, Lebanon

Abstract. This article examines the economic impact of artificial intelligence (AI) based on a mixedmethods strategy of quantitative regression analysis (2013-2023) and qualitative sectoral case studies. Results show a significant positive relationship between AI investment and GDP per capita (β=5.01E-09, p<0.01), but a negative correlation with unemployment (−1,039.102, p<0.05), highlighting its dual role as a growth driver and labor market disruptor. Policy implications emphasize reskilling programs (e.g., Germany’s Industry 4.0) and antitrust measures to mitigate inequality. Findings align with endogenous growth theory but reveal unique challenges due to AI’s cognitive automation capabilities.

Keywords: artificial intelligence, economic growth, unemployment, productivity, labor markets, inflation.

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The Economicity. The Epistemic Landscape, Marin Dinu, 2016

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