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Artificial Intelligence Sector: The Next Technology Bubble? A Comparative Analysis with Dotcom Based on Stock Market Data

Author

Listed:
  • Robert Dobre
  • Daniel Bulin
  • Maria-Cristina Iorgulescu
  • Iulia Monica Oehler-Sincai
  • Olimpia State

Abstract

The main purpose of this research is to present a detailed comparison between the 1996-2001 Dotcom and 2014-2018 AI landscapes, by comparing the evolution of Dotcom and AI through a regression model aimed at testing the relationship between these two phenomena, which have similar characteristics, but also distinct features. In a period when the academic and the business environment discourse is focused on the potential effects of diminishing funding and interest in AI and even a bubble burst, our investigation demonstrates the contrary. Having in mind the strengths of the AI market and its interrelations with significant sectors of the world economy, our paper denies the hypothesis of a potential AI crisis, in spite of some hints that AI companies are in the early stages of high risk. Our paper brings also another novelty element related to a different type of Schumpeterian creative destruction identified in the case of AI. The big players present on the market are able to purchase the firms that Schumpeter suggested would replace the existing firms, therefore the creative destruction occurs in the case of start-ups, which are undertaken by stronger companies present on the market, even survivors of the Dotcom crisis, not vice versa.

Suggested Citation

  • Robert Dobre & Daniel Bulin & Maria-Cristina Iorgulescu & Iulia Monica Oehler-Sincai & Olimpia State, 2020. "Artificial Intelligence Sector: The Next Technology Bubble? A Comparative Analysis with Dotcom Based on Stock Market Data," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(76), pages 24-37, June.
  • Handle: RePEc:rej:journl:v:22:y:2020:i:76:p:24-37
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    References listed on IDEAS

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    1. Leone, Vitor & de Medeiros, Otavio Ribeiro, 2015. "Signalling the Dotcom bubble: A multiple changes in persistence approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 77-86.
    2. Jaume Ventura, 2002. "Bubbles and capital flows," Economics Working Papers 846, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2010.
    3. Martin Kenney & John Zysman, 2019. "Unicorns, Cheshire cats, and the new dilemmas of entrepreneurial finance," Venture Capital, Taylor & Francis Journals, vol. 21(1), pages 35-50, January.
    4. Alberto Martin & Jaume Ventura, 2012. "Economic Growth with Bubbles," American Economic Review, American Economic Association, vol. 102(6), pages 3033-3058, October.
    5. Vasile Gherheș & Ciprian Obrad, 2018. "Technical and Humanities Students’ Perspectives on the Development and Sustainability of Artificial Intelligence (AI)," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
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    Cited by:

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    2. Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.
    3. Demmler, Michael & Fernández, Amilcar Orlian, 2024. "Explosive behavior in historic NASDAQ market prices," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    4. Akhilesh Chandra & Charles F. Malone, 2024. "State of The Dotcom-Era Accounting Information Systems (AIS) Faculty and Implications for The Artificial Intelligence (AI)-Era," Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 23(4), pages 740-792, December.

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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