Araştırma Makalesi

The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries

Sayı: 44 3 Temmuz 2026
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The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries

Öz

The question of this study is: “How will the Gini coefficient be affected by the use of artificial intelligence (AI) in a technological society?” Therefore, the discussion of the article focuses on the relationship between AI, labor force, employment, and the Gini coefficient. The article contributed to the literature on the labor force transformation and income distribution effects of AI, where there are study gaps. Within the scope of this article, the transformation of the workforce, employment, and income effects of AI are being researched, discussed, and evaluated. Additionally, the empirical part of the study analyses the relationship between artificial intelligence, Gini coefficient, and labor market variables in EU/OECD countries between 2010 and 2023. Multiple analytical methods were used to ensure the reliability of our empirical approach. The empirical analysis provides strong evidence that the adoption of artificial intelligence in EU/OECD countries has positive effects on the labor market.

Anahtar Kelimeler

Kaynakça

  1. Acemoglu, D. & Restrepo, P. (2018), The race between man and machine: Implications of technology for growth, factor shares, and employment, American Economic Review, 108(6), 1488-1542, https://doi.org/10.1257/aer.20160696
  2. Acemoglu, D. & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor, Journal of Economic Perspectives, 33(2), 3-30.
  3. Acemoglu, D., Autor, D., Hazell, J. & Restrepo, P. (2022), Artificial intelligence and jobs: Evidence from online vacancies, Journal of Labor Economics, 40(S1), 293-340, doi: https://doi.org/10.1086/718327
  4. Agrawal, A., Gans, J. & Goldfarb, A. (2018). The economics of artificial intelligence: An agenda,. University of Chicago Press. 197–236.
  5. Alexeeva, L., Azar, J., Gine, M., Samila, S. & Taska, B. (2021), The demand for AI skills in the labor market, Labour Economics- Elsevier Publ., 71(1),102002. https://doi.org /10.1016/j.labeco. 2021.102002
  6. Amankwah-Amoah, J. , Khan, Z. & Wood, G. (2021). Covid-19 and business failures: The paradoxes of experience, scale, and scope for theory and practice, European Management Journal-Elsevier Publising.39(2021), 179-184. https://doi.org/10.1016/j.emj.2020.09.002.
  7. Autor, D. (2015). Why are there still so many jobs? The history and future of workplace automation, Journal of Economic Perspectives, 29(3), 3-30.
  8. Autor, D. (2022). The labor market ımpacts of technological chang: From unbridled enthusiasm to qualified optimism to vast uncertainty, National Bureau of Economic Research 1050- Working Paper 30074, Cambridge MA 02138, 1-37. https://https://doi.org/10.3386/ w30074.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Ekonometri (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

3 Temmuz 2026

Gönderilme Tarihi

6 Mayıs 2025

Kabul Tarihi

1 Aralık 2025

Yayımlandığı Sayı

Yıl 2026 Sayı: 44

Kaynak Göster

APA
İrhan, H. B. (2026). The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries. EKOIST Journal of Econometrics and Statistics, 44, 56-69. https://doi.org/10.26650/ekoist.2026.44.1693301
AMA
1.İrhan HB. The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries. EKOIST Journal of Econometrics and Statistics. 2026;(44):56-69. doi:10.26650/ekoist.2026.44.1693301
Chicago
İrhan, Hacı Bayram. 2026. “The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries”. EKOIST Journal of Econometrics and Statistics, sy 44: 56-69. https://doi.org/10.26650/ekoist.2026.44.1693301.
EndNote
İrhan HB (01 Temmuz 2026) The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries. EKOIST Journal of Econometrics and Statistics 44 56–69.
IEEE
[1]H. B. İrhan, “The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries”, EKOIST Journal of Econometrics and Statistics, sy 44, ss. 56–69, Tem. 2026, doi: 10.26650/ekoist.2026.44.1693301.
ISNAD
İrhan, Hacı Bayram. “The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries”. EKOIST Journal of Econometrics and Statistics. 44 (01 Temmuz 2026): 56-69. https://doi.org/10.26650/ekoist.2026.44.1693301.
JAMA
1.İrhan HB. The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries. EKOIST Journal of Econometrics and Statistics. 2026;:56–69.
MLA
İrhan, Hacı Bayram. “The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries”. EKOIST Journal of Econometrics and Statistics, sy 44, Temmuz 2026, ss. 56-69, doi:10.26650/ekoist.2026.44.1693301.
Vancouver
1.Hacı Bayram İrhan. The Impact of Artificial Intelligence on Labor Force and Gini Coefficient: An Assessment of some EU/OECD Countries. EKOIST Journal of Econometrics and Statistics. 01 Temmuz 2026;(44):56-69. doi:10.26650/ekoist.2026.44.1693301