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The Relationship Between Ai And Labor Productivity €“ Myth Or Reality

Author

Listed:
  • Ana-Maria ÈšUCA

    (Ștefan cel Mare University of Suceava, Suceava, Romania)

  • Gabriela PRELIPCEAN

    (Ștefan cel Mare University of Suceava, Suceava, Romania)

Abstract

Artificial intelligence (AI) is one of the latest technologies to raise the interest of mainstream media, world leaders and investors. In certain scenarios, AI is expected to augment human capabilities and, therefore, profoundly change macroeconomic labor productivity. Such a change would be greatly welcomed, considering that labor productivity in advanced economies has registered sluggish growth for many years. Despite these expectations, the reality remains disappointing. Even with continuous AI breakthroughs, labor productivity growth in the US, where world’s leading AI companies operate, has remained lower in the period 2019-2024 than in the period 1990-2007. In essence, the relationship between AI and labor productivity is not yet visible in macroeconomic statistics. Consequently, we tried to find evidence in scientific literature. We performed a bibliometric analysis, employing two scientific databases: Scopus and Web of Science. Our main goal was to determine the number of scientific publications which established a clear relationship between AI and labor productivity, be it on a macroeconomic level or on a firm level. Our results showed that not many researchers investigated the link between AI and labor productivity. In this study, we provided statistics per authors, journals and countries. We also provided an overview per content and epistemological orientation, to describe the research status in this field.

Suggested Citation

  • Ana-Maria ÈšUCA & Gabriela PRELIPCEAN, 2024. "The Relationship Between Ai And Labor Productivity €“ Myth Or Reality," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(4), pages 43-58, December.
    • Handle: RePEc:rom:bemann:v:14:y:2024:i:4:p:43-58
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    References listed on IDEAS

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    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.
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    Cited by:

    1. Sandiso NGCOBO & Alfred Mvunyelwa MSOMI, 2025. "Students’ Preparedness For Digital Pedagogy In A Disadvantaged Higher Education Institution In South Africa: Kirkpatrick'S Evaluation Model," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(5), pages 58-68, May.

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