IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/119675.html
   My bibliography  Save this paper

Noile Tehnologii Și Piața Muncii În România
[The New Technologies And Labor Market In Romania]

Author

Listed:
  • MARINESCU, Gabriela

Abstract

The work aims to highlight the changes that modern technologies can bring to the labor market in the future. Studies and research demonstrate the benefits and threats that Artificial Intelligence will cause on the labor market, in general, on the Romanian one, in particular. Questions such as: What is the strategy that will reduce job losses? How and where will new jobs be created? What do we do when the number of lost jobs exceeds the number of new ones, and the market presents high unemployment and few qualified human resources? Where education goes headed for the training of specialists in new fields? ; bring into view big issues that cannot be ignored. The research succinctly answers these, showing that the labor market will have a very different picture from today, with nuances from one country to another. The first conclusion that emerges from the study is that the new structure of services and activities of the future requires high-level skills and competencies, which are difficult to acquire quickly and without important individual and collective efforts. A second emphasizes that we need adequate education for the changes that Artificial Intelligence will cause. In Romania, the process of innovation and creativity is continuously decreasing. Society is increasingly unprofessional, and people with skills are hard to find. This development should raise public concern, as the challenges posed by technologies already seem insurmountable due to poor governance, aging populations, and job structures.

Suggested Citation

  • MARINESCU, Gabriela, 2023. "Noile Tehnologii Și Piața Muncii În România [The New Technologies And Labor Market In Romania]," MPRA Paper 119675, University Library of Munich, Germany, revised 18 Feb 2023.
  • Handle: RePEc:pra:mprapa:119675
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/119675/1/MPRA_paper_119675.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. David Autor, 2022. "The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty," NBER Working Papers 30074, National Bureau of Economic Research, Inc.
    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. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    2. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Caleb Peppiatt, 2024. "The Future of Work: Inequality, Artificial Intelligence, and What Can Be Done About It. A Literature Review," Papers 2408.13300, arXiv.org.
    4. Paul A. Schulte & Ivo Iavicoli & Luca Fontana & Stavroula Leka & Maureen F. Dollard & Acran Salmen-Navarro & Fernanda J. Salles & Kelly P. K. Olympio & Roberto Lucchini & Marilyn Fingerhut & Francesco, 2022. "Occupational Safety and Health Staging Framework for Decent Work," IJERPH, MDPI, vol. 19(17), pages 1-28, August.
    5. Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of Occupations, Workers’ Labor-Market Expectations, and Willingness to Train," CESifo Working Paper Series 10862, CESifo.
    6. Chu, Yihe & Li, Yujia & Che, Ming, 2024. "Population aging and the dynamics of the skill income gap: An analysis of a multiple mediation effect," Finance Research Letters, Elsevier, vol. 62(PB).
    7. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    8. Gregory Weitzner, 2024. "Reputational Algorithm Aversion," Papers 2402.15418, arXiv.org, revised Jul 2024.
    9. Marcel Steffen Eckardt, 2022. "Minimum wages in an automating economy," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(1), pages 58-91, February.
    10. Shuguang Liu & Xiaowen Tang & Yubin Zhao, 2024. "Global Value Chain Participation, Employment Structure, and Urban–Rural Income Gap in the Context of Sustainable Development," Sustainability, MDPI, vol. 16(5), pages 1-19, February.
    11. Evangelos Katsamakas, 2024. "Business models for the simulation hypothesis," Papers 2404.08991, arXiv.org.
    12. Sarah Maggioli & Liliana Cunha, 2023. "A Systematic Review Discussing the Sustainability of Men and Women’s Work in Industry 4.0: Are Technologies Gender-Neutral?," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    13. Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
    14. A. O. Aver’yanov & I. S. Stepus’ & V. A. Gurtov, 2023. "Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia," Studies on Russian Economic Development, Springer, vol. 34(1), pages 86-95, February.
    15. Barth, Erling & Bryson, Alex & Dale-Olsen, Harald, 2022. "Creative Disruption: Technology Innovation, Labour Demand and the Pandemic," IZA Discussion Papers 15762, Institute of Labor Economics (IZA).
    16. Iñaki Aldasoro & Leonardo Gambacorta & Anton Korinek & Vatsala Shreeti & Merlin Stein, 2024. "Intelligent financial system: how AI is transforming finance," BIS Working Papers 1194, Bank for International Settlements.
    17. Mao Wu & Ying Ma & Yu Gao & Zhanhui Ji, 2024. "The impact of digital economy on income inequality from the perspective of technological progress-biased transformation: evidence from China," Empirical Economics, Springer, vol. 67(2), pages 567-607, August.
    18. Wenchao Jin, 2022. "Occupational polarisation and endogenous task-biased technical change," Working Paper Series 0622, Department of Economics, University of Sussex Business School.
    19. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    20. Antón, José-Ignacio & Fernández-Macías, Enrique & Winter-Ebmer, Rudolf, 2020. "Does Robotization Affect Job Quality? Evidence from European Regional Labour Markets," IZA Discussion Papers 13975, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    labor market; new technologies; artificial intelligence.;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

    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:pra:mprapa:119675. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.