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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
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    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.
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