IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v19y2024i1p94.html
   My bibliography  Save this article

Gauging Growth: AGI’s Mathematical Metrics for Economic Progress

Author

Listed:
  • Davit Gondauri
  • Maia Noniashvili
  • Mikheil Batiashvili
  • Nino Enukidze

Abstract

Today, the economy is greatly influenced by Artificial General Intelligence (AGI). The purpose of this paper is to determine the impact of the quantitative relations of AGI on the country's economic parameters. The authors use the analysis of historical data in the research, develop a new mathematical algorithm that refers to the level of AGI development, and conduct the regression analysis. The economic effect of AGI is deduced if it affects the growth of real GDP. As a result of the analysis, it is revealed that there is a positive Pearson correlation between the growth of AGI and real GDP, that is, to increase GDP by 1%, an average increase of 12.5% of AGI is required.

Suggested Citation

  • Davit Gondauri & Maia Noniashvili & Mikheil Batiashvili & Nino Enukidze, 2024. "Gauging Growth: AGI’s Mathematical Metrics for Economic Progress," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(1), pages 1-94, February.
    • Handle: RePEc:ibn:ijbmjn:v:19:y:2024:i:1:p:94
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijbm/article/download/0/0/49631/53623
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ijbm/article/view/0/49631
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anton Korinek & Joseph E. Stiglitz, 2021. "Artificial Intelligence, Globalization, and Strategies for Economic Development," Working Papers Series inetwp146, Institute for New Economic Thinking.
    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. Saima Javed & Yu Rong & Babar Nawaz Abbasi, 2024. "Convergence analysis of artificial intelligence research capacity: Are the less developed catching up with the developed ones?," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(4), pages 2172-2192, May.
    2. 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.
    3. Ana L. Abeliansky & Klaus Prettner & Roman Stoellinger, 2023. "Infection Risk at Work, Automatability, and Employment," Department of Economics Working Papers wuwp352, Vienna University of Economics and Business, Department of Economics.
    4. Fabrizio Leone, 2023. "Multinationals, robots and the labor share," CEP Discussion Papers dp1900, Centre for Economic Performance, LSE.
    5. Ramirez Valdebenito Carlos & Gherghina Elena Madalina, 2022. "The Pandemic Impact On The Dynamic Of Employment In Developing Countries In The Context Of Vulnerability And Inequality. The Case Of Bulgaria And Romania," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 5-14, February.
    6. Leone, Fabrizio, 2021. "Foreign Ownership and Robot Adoption," CEPREMAP Working Papers (Docweb) 2111, CEPREMAP.
    7. Shreya Roy & Sugata Marjit & Bibek Ray Chaudhuri, 2022. "Role of Artificial Intelligence in Intra-Sectoral Wage Inequality in an Open Economy: A Finite Change Approach," CESifo Working Paper Series 9862, CESifo.
    8. Ding, Tao & Li, Hao & Liu, Li & Feng, Kui, 2024. "An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence," Energy Economics, Elsevier, vol. 136(C).
    9. Manuchehr Irandoust, 2024. "Employment and technology: Creative creation or creative destruction? An asymmetric analysis," Australian Economic Papers, Wiley Blackwell, vol. 63(2), pages 201-219, June.
    10. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
    11. Saurabh Mishra & Robert Koopman & Giuditta De-Prato & Anand Rao & Israel Osorio-Rodarte & Julie Kim & Nikola Spatafora & Keith Strier & Andrea Zaccaria, 2021. "AI Specialization for Pathways of Economic Diversification," Papers 2103.11042, arXiv.org.
    12. Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
    13. Zixi Wu & Wen Zhou & Aisi Yu, 2023. "Analysis of a Legal Regulation Approach and Strategy of a Sharing Economy Based on Technological Change and Sustainable Development," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    14. Anton Korinek, 2024. "Economic Policy Challenges for the Age of AI," Papers 2409.13168, arXiv.org.
    15. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
    16. Alonso, Cristian & Berg, Andrew & Kothari, Siddharth & Papageorgiou, Chris & Rehman, Sidra, 2022. "Will the AI revolution cause a great divergence?," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 18-37.
    17. Lee, Chi-Chuan & Fang, Yuzhu & Quan, Shiyun & Li, Xinghao, 2024. "Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy," Energy Economics, Elsevier, vol. 135(C).
    18. Weller, Jürgen, 2022. "Tendencias mundiales, pandemia de COVID-19 y desafíos de la inclusión laboral en América Latina y el Caribe," Documentos de Proyectos 48610, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    19. Qingyang Wu, 2023. "Sustainable growth through industrial robot diffusion: Quasi‐experimental evidence from a Bartik shift‐share design," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1107-1133, October.
    20. Hina Shahzadi & Muhammad Nadim & Zain Ul Abidin, 2023. "The Impact Of Globalization On Income Distribution In Emerging Economies," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(2), pages 67-73.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbmjn:v:19:y:2024:i:1:p:94. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.