IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2412.07042.html
   My bibliography  Save this paper

Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements

Author

Listed:
  • Mahdi Ahmadi
  • Neda Khosh Kheslat
  • Adebola Akintomide

Abstract

The rapid advancement of Generative AI (Gen AI) technologies, particularly tools like ChatGPT, is significantly impacting the labor market by reshaping job roles and skill requirements. This study examines the demand for ChatGPT-related skills in the U.S. labor market by analyzing job advertisements collected from major job platforms between May and December 2023. Using text mining and topic modeling techniques, we extracted and analyzed the Gen AI-related skills that employers are hiring for. Our analysis identified five distinct ChatGPT-related skill sets: general familiarity, creative content generation, marketing, advanced functionalities (such as prompt engineering), and product development. In addition, the study provides insights into job attributes such as occupation titles, degree requirements, salary ranges, and other relevant job characteristics. These findings highlight the increasing integration of Gen AI across various industries, emphasizing the growing need for both foundational knowledge and advanced technical skills. The study offers valuable insights into the evolving demands of the labor market, as employers seek candidates equipped to leverage generative AI tools to improve productivity, streamline processes, and drive innovation.

Suggested Citation

  • Mahdi Ahmadi & Neda Khosh Kheslat & Adebola Akintomide, 2024. "Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements," Papers 2412.07042, arXiv.org.
    • Handle: RePEc:arx:papers:2412.07042
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2412.07042
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    2. Prithwiraj Choudhury & Evan Starr & Rajshree Agarwal, 2020. "Machine learning and human capital complementarities: Experimental evidence on bias mitigation," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1381-1411, August.
    3. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2018. "Educational upgrading, structural change and the task composition of jobs in Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 201-231, April.
    4. Xiang Hui & Oren Reshef & Luofeng Zhou, 2023. "The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market," CESifo Working Paper Series 10601, CESifo.
    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. Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
    2. 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.
    3. Piyush Gulati & Arianna Marchetti & Phanish Puranam & Victoria Sevcenko, 2025. "Generative AI Adoption and Higher Order Skills," Papers 2503.09212, arXiv.org, revised Jun 2025.
    4. Grimon, Marie-Pascale & Mills, Christopher, 2025. "Better Together? A Field Experiment on Human-Algorithm Interaction in Child Protection," SOFI Working Papers in Labour Economics 2/2025, Stockholm University, Swedish Institute for Social Research.
    5. Ozge Demirci & Jonas Hannane & Xinrong Zhu, 2024. "Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms," CESifo Working Paper Series 11276, CESifo.
    6. Goller, Daniel & Gschwendt, Christian & Wolter, Stefan C., 2025. "This time it’s different – Generative artificial intelligence and occupational choice," Labour Economics, Elsevier, vol. 95(C).
    7. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.
    8. Abendroth Dias Kulani & Arias Patricia & Bacco F. Manlio & Bassani Elias & Bertoletti Alice & Bertolini Lorenzo & Bertrand Astrid & Bili Danai & Boucher Philip & Cachia Romina & Ceresa Mario & Chaslot, 2025. "Generative AI Outlook Report," JRC Research Reports JRC142598, Joint Research Centre.
    9. Zara Contractor & Germ'an Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," Papers 2508.00717, arXiv.org.
    10. A‐Sung Hong, 2024. "Beyond the finish line: How losing in patent race drives post‐race innovation," Strategic Management Journal, Wiley Blackwell, vol. 45(5), pages 968-993, May.
    11. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    12. Carvajal, Daniel & Franco, Catalina & Isaksson, Siri, 2024. "Will Artificial Intelligence Get in the Way of Achieving Gender Equality?," Discussion Paper Series in Economics 3/2024, Norwegian School of Economics, Department of Economics, revised 28 Apr 2025.
    13. Brum, Matias & De Rosa, Mauricio, 2021. "Too little but not too late: nowcasting poverty and cash transfers’ incidence during COVID-19’s crisis," World Development, Elsevier, vol. 140(C).
    14. Riccardo Zanardelli, 2025. "The human-machine paradox: how collaboration creates or destroys value, and why augmentation is key to resolving it," Papers 2509.14057, arXiv.org, revised Nov 2025.
    15. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    16. Matías Brum & Mauricio de Rosa, 2020. "Too little but not too late. Nowcasting poverty and cash transfers' incidence in Uruguay during COVID-19's crisis," Documentos de Trabajo (working papers) 20-09, Instituto de Economía - IECON.
    17. Gaétan de Rassenfosse & Adam B. Jaffe & Joel Waldfogel, 2025. "Intellectual Property and Creative Machines," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 4(1), pages 47-79.
    18. Tatsuru Kikuchi, 2025. "Weather-Aware AI Systems versus Route-Optimization AI: A Comprehensive Analysis of AI Applications in Transportation Productivity," Papers 2507.17099, arXiv.org.
    19. Yusuke Aoki & Joon Suk Park & Yuya Takada & Koji Takahashi, 2025. "Expecting Job Replacement by GenAI: Effects on Workers' Economic Outlook and Behavior," IMES Discussion Paper Series 25-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    20. Francesco Venturini, 2025. "Generative AI and Income Growth: Early Evidence on Global Data," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 31-46.

    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:2412.07042. 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.