IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v26y2024ispecial18p1031.html
   My bibliography  Save this article

Artificial Intelligence and the Future of Work A Sustainable Development Perspective

Author

Listed:
  • Liana Badea

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • George-Laurentiu Serban-Oprescu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Silvia-Elena Iacob

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Suman Mishra

    (Southern Illinois University Edwardsville, USA)

  • Mihaela-Roberta Stanef

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

In recent years, the future of the labour market in the context of evident advances in artificial intelligence (AI) has been much debated, ranging from a number of considerations about the implications for job losses in certain sectors to elements of possible deepening economic inequality. The main objective of the present paper is to investigate the interdependencies between AI adoption and the labour market from the perspective of achieving the Sustainable Development Goal (SDG) 8: Decent Work and Economic Growth. Despite a growing body of literature on AI and the future of work, the link to sustainable development on the labour market is still unclear. The present study explores this issue in EU countries, suggesting an index of AI adoption and analysing correlations with SDG8 indicators. This paper examines how emerging AI technologies might support SDG 8, fostering both sustainable growth and decent work for all EU citizens. Our research emphasises that the adoption of AI leads to a mix of effects, with the potential to contribute to economic growth, productivity, work-life balance, and poverty reduction, but at the same time, brings with it challenges related to inequality.

Suggested Citation

  • Liana Badea & George-Laurentiu Serban-Oprescu & Silvia-Elena Iacob & Suman Mishra & Mihaela-Roberta Stanef, 2024. "Artificial Intelligence and the Future of Work A Sustainable Development Perspective," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(Special 1), pages 1031-1031, November.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:special18:p:1031
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3357.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ma, Hongmei & Gao, Qian & Li, Xiuzhen & Zhang, Yun, 2022. "AI development and employment skill structure: A case study of China," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 242-254.
    2. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2023. "AI technologies and employment: micro evidence from the supply side," Applied Economics Letters, Taylor & Francis Journals, vol. 30(6), pages 816-821, March.
    3. Giorgio Gnecco & Sara Landi & Massimo Riccaboni, 2023. "Can Machines Learn Creativity Needs? An Approach Based on Matrix Completion," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(3), pages 1111-1151, November.
    4. Adela Socol & Andreea Marin-Pantelescu & Tamas-Szora Attila & Ionela Cornelia Cioca, 2024. "The Impact of Artificial Intelligence Applied in Businesses on Economic Growth, Welfare, and Social Disparities," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(66), pages 475-475, Aprilie.
    5. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    6. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    7. Opeyemi AROMOLARAN & Nicholas NGEPAH & Charles Shaaba SABA, 2024. "Macroeconomic determinants of poverty in South Africa: the role of investments in artificial intelligence," Access Journal, Access Press Publishing House, vol. 5(2), pages 288-305, February.
    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. Zhou, Huilin & Wang, Linhui & Cao, Yutong & Li, Jincheng, 2025. "The impact of artificial intelligence on labor market: A study based on bibliometric analysis," Journal of Asian Economics, Elsevier, vol. 98(C).
    2. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    3. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," Working Papers hal-05102974, HAL.
    5. Liu, Yingji & Shen, Fangbing & Guo, Ju & Hu, Guoheng & Song, Yuegang, 2025. "Can artificial intelligence technology improve companies' capacity for green innovation? Evidence from listed companies in China," Energy Economics, Elsevier, vol. 143(C).
    6. Dona Ghosh & Rajarshi Ghosh & Sahana Roy Chowdhury & Boudhayan Ganguly, 2025. "AI-exposure and labour market: a systematic literature review on estimations, validations, and perceptions," Management Review Quarterly, Springer, vol. 75(1), pages 677-704, February.
    7. Raluca-Florentina Cretu & Daniela Tutui & Viorel-Costin Banta & Elena Claudia Serban & Laura - Eugenia - Lavinia Barna & Romeo-Catalin Cretu, 2024. "Effects of Artificial Intelligence-Based Technologies Implementation s on the Skills Needed in the Automotive Industry A Bibliometric Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 801-801, August.
    8. Skare, Marinko & Gavurova, Beata & Blažević Burić, Sanja, 2024. "Artificial intelligence and wealth inequality: A comprehensive empirical exploration of socioeconomic implications," Technology in Society, Elsevier, vol. 79(C).
    9. Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
    10. Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
    13. Jiang, Kai & Xin, Baogui & Santibanez Gonzalez, Ernesto D.R., 2025. "Can industrial intelligence promote net-zero development? An analysis of resource dependence," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).
    14. Oschinski, Matthias, 2023. "Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis," MPRA Paper 118300, University Library of Munich, Germany.
    15. Maryna Henrysson & Ranjula Bali Swain & Ashok Swain & Francesco Fuso Nerini, 2024. "Sustainable Development Goals and wellbeing for resilient societies: shocks and recovery," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    16. Andrei Ternikov, 2023. "Skill preferences in job postings," Economics Bulletin, AccessEcon, vol. 43(4), pages 1928-1943.
    17. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    18. Gao, Jie & Li, Zhizhuo & Nguyen, Thithuha & Zhang, Wentao, 2025. "Digital transformation and enterprise employment," International Review of Economics & Finance, Elsevier, vol. 99(C).
    19. Bloom, Nicholas & Davis, Steven J. & Hansen, Stephen & Lambert, Peter John & Sadun, Raffaella & Taska, Bledi, 2023. "Remote work across jobs, companies and space," LSE Research Online Documents on Economics 121302, London School of Economics and Political Science, LSE Library.
    20. Xi Liu & Yugang He & Renhong Wu, 2024. "Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries," Energies, MDPI, vol. 17(2), pages 1-21, January.

    More about this item

    Keywords

    artificial intelligence; labour market; sustainability; SDG8;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:aes:amfeco:v:26:y:2024:i:special18:p:1031. 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: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.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.