IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2509.10152.html
   My bibliography  Save this paper

Evaluating the Economic Feasibility of Labor Replacement Through Robotics and Automation in Qatar

Author

Listed:
  • Tariq Eldakruri
  • Edip Senyurek

Abstract

This paper investigates the economic feasibility of replacing human labor with robotics and automation in Qatar's manufacturing and service sectors. By analyzing labor costs, productivity gains, and implementation expenses, the study assesses the potential financial impact and return on investment of robotic integration. Results indicate the sectors where automation is economically viable and identify challenges related to workforce adaptation, policy, and infrastructure. These insights provide guidance for policymakers and industry stakeholders considering automation strategies in Qatar.

Suggested Citation

  • Tariq Eldakruri & Edip Senyurek, 2025. "Evaluating the Economic Feasibility of Labor Replacement Through Robotics and Automation in Qatar," Papers 2509.10152, arXiv.org.
  • Handle: RePEc:arx:papers:2509.10152
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2509.10152
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    2. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cette, Gilbert & Devillard, Aurélien & Spiezia, Vincenzo, 2021. "The contribution of robots to productivity growth in 30 OECD countries over 1975–2019," Economics Letters, Elsevier, vol. 200(C).
    2. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
    3. Qihang Li & Yituan Liu & Wenjie Li & Linman Zheng, 2025. "Will Industrial Robots Terminate Enterprise Innovation?—An Empirical Evidence from China’s Enterprise Robot Penetration," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 10074-10103, June.
    4. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    5. Gao, Jie & Li, Zhizhuo & Nguyen, Thithuha & Zhang, Wentao, 2025. "Digital transformation and enterprise employment," International Review of Economics & Finance, Elsevier, vol. 99(C).
    6. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    7. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    8. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    9. Pawel Gmyrek & Janine Berg & David Bescond, 2025. "Generative AI and Jobs: An Analysis of Potential Effects on Global Employment," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 6-30.
    10. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    11. Ryan Gunderson, 2019. "Work time reduction and economic democracy as climate change mitigation strategies: or why the climate needs a renewed labor movement," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 9(1), pages 35-44, March.
    12. Lo Bello,Salvatore & Sanchez Puerta,Maria Laura & Winkler,Hernan Jorge, 2019. "From Ghana to America : The Skill Content of Jobs and Economic Development," Policy Research Working Paper Series 8758, The World Bank.
    13. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    14. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    16. Andrea Salvatori & Seetha Menon & Wouter Zwysen, 2018. "The effect of computer use on job quality: Evidence from Europe," OECD Social, Employment and Migration Working Papers 200, OECD Publishing.
    17. Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    18. Sun, Wenyuan & Zhang, Zhonghui & Chen, Yang & Luan, Fushu, 2023. "Heterogeneous effects of robots on employment in agriculture, industry, and services sectors," Technology in Society, Elsevier, vol. 75(C).
    19. WU, Yunxia & LI, Lei & Zheng, Yanyan, 2024. "The impact of digitization in manufacturing on female employment and gender wage gap," Journal of Asian Economics, Elsevier, vol. 95(C).
    20. Ana Abeliansky & Klaus Prettner & Ernesto Rodríguez Crespo, 2024. "Climate change and automation: the emission effects of robot adoption," Department of Economics Working Papers wuwp370, Vienna University of Economics and Business, Department of Economics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2509.10152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.