IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05212339.html
   My bibliography  Save this paper

Artificial Intelligence And The Future Of Us Competitiveness: Sectoral Impacts, Workforce Transitions, And Policy Challenges

Author

Listed:
  • Satyadhar Joshi

    (Alumnus I-MBA Bar Ilan University, Israel.)

Abstract

This paper provides a comprehensive analysis of Artificial Intelligence's impact on U.S. economic competitiveness through six key dimensions. First, we examine AI's macroeco-nomic effects, synthesizing projections that estimate potential contributions of $4.8-$19.9 trillion to global GDP by 2030, with annual productivity growth ranging from 0.5-1.3%. Second, we analyze labor market transformations, where 20-40% of jobs may be affected, creating both displacement risks and opportunities for workforce augmentation. Third, we investi-gate the intensifying geopolitical competition in AI, particularly between the U.S. and China, where military AI markets are projected to reach $38.5 billion and $32 billion respectively by 2030. Fourth, we evaluate sector-specific impacts, highlighting manufacturing efficiency gains of 15-30% and small business productivity improvements up to 25%.

Suggested Citation

  • Satyadhar Joshi, 2025. "Artificial Intelligence And The Future Of Us Competitiveness: Sectoral Impacts, Workforce Transitions, And Policy Challenges," Post-Print hal-05212339, HAL.
  • Handle: RePEc:hal:journl:hal-05212339
    DOI: 10.38193/IJRCMS.2025.7405
    Note: View the original document on HAL open archive server: https://hal.science/hal-05212339v2
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05212339v2/document
    Download Restriction: no

    File URL: https://libkey.io/10.38193/IJRCMS.2025.7405?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mohamed Ali Trabelsi, 2024. "The impact of artificial intelligence on economic development," Journal of Electronic Business & Digital Economics, Emerald Group Publishing Limited, vol. 3(2), pages 142-155, May.
    2. Zhou, Fuyuan & Feng, Zehua, 2024. "Resources management, digitalization and government efficiency for economic output: Exploring the case for the United States," Resources Policy, Elsevier, vol. 95(C).
    3. Mariarosaria Comunale & Andrea Manera, 2024. "The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions," IMF Working Papers 2024/065, International Monetary Fund.
    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. Drago, Carlo & Costantiello, Alberto & Savorgnan, Marco & Leogrande, Angelo, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," MPRA Paper 124973, University Library of Munich, Germany.
    2. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Macroeconomic and Labor Market Drivers of AI Adoption in Europe: A Machine Learning and Panel Data Approach," Economies, MDPI, vol. 13(8), pages 1-62, August.
    3. Bouchra Al MAWLA & George M. El KAZZI & Hiba S. OTHMAN, 2025. "Artificial intelligence as a disruptive force in economics: transformations, challenges, and future prospects," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(643), S), pages 87-106, Summer.
    4. Constantinos Challoumis & Nikolaos Eriotis & Dimitrios Vasiliou, 2025. "Mobile applications and internet banking for Greek enterprises," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(9), pages 699-714.
    5. Tingmingke Lu, 2025. "Maximum Hallucination Standards for Domain-Specific Large Language Models," Papers 2503.05481, arXiv.org.
    6. Demombynes, Gabriel & Langbein, Jorg Gero & Weber, Michael, 2025. "The Exposure of Workers to Artificial Intelligence in Low- and Middle-Income Countries," Policy Research Working Paper Series 11057, The World Bank.
    7. Piotr Lewandowski & Karol Madoń & Albert Park, 2025. "Workers’ exposure to AI across development," IBS Working Papers 02/2025, Instytut Badan Strukturalnych.
    8. Jon Danielsson & Andreas Uthemann, 2024. "Artificial intelligence and financial crises," Papers 2407.17048, arXiv.org, revised Jul 2025.
    9. Brij Behari Dave, 2024. "Technology and AI—Impact on Country’s Growth and Unemployment," Journal of Banking and Financial Dynamics, Eastern Centre of Science and Education, vol. 8, pages 6-16.
    10. Frank M. Fossen & Trevor McLemore & Alina Sorgner, 2024. "Artificial Intelligence and Entrepreneurship," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 20(8), pages 781-904, December.
    11. Kateryna Kolos & Oleg Kubrak & Yuliya Olimpiyeva & Pavlo Ihnatenko & Olena Furtat, 2025. "Automation of Production Management Processes Using Artificial Intelligence: Impact on the Efficiency and Resilience of Manufacturing Systems," LatIA, AG Editor, vol. 3, pages 311-311.
    12. Jean-Charles Bricongne & Baptiste Meunier & Raquel Caldeira, 2024. "Should Central Banks Care About Text Mining? A Literature Review," Working papers 950, Banque de France.
    13. Xia Zhao & Jingjing Yang, 2025. "How Artificial Intelligence Empowers Rural Industrial Revitalization: A Case Study of Hebei Province," Sustainability, MDPI, vol. 17(16), pages 1-27, August.
    14. Jung, Juan & Katz, Raúl L., 2025. "Impacto económico de la inteligencia artificial en América Latina: transformación tecnológica y rezago en materia de inversión y capacidades laborales," Documentos de Proyectos 81909, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    15. Pajdzik Marcin, 2025. "From Mainframe to Cloud and Beyond: A Short History of IT Management Consulting," Management Consulting Journal, Sciendo, vol. 8(1), pages 29-42.
    16. Shahmar Mirishli, 2025. "Regulating Ai In Financial Services: Legal Frameworks And Compliance Challenges," Papers 2503.14541, arXiv.org.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:hal:journl:hal-05212339. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.