IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v6y2018i2p1028-1040.html

Sustainable economic development and post-economy of artificial intelligence

Author

Listed:
  • Oktay Mamedov

    (Southern Federal University, Russian Federation)

  • Yuri Tumanyan

    (Southern Federal University, Russian Federation)

  • Oksana Ishchenko-Padukova

    (Southern Federal University, Russian Federation)

  • Irina Movchan

    (Southern Federal University, Russian Federation)

Abstract

The world economy is currently becoming involved into a most dangerous crisis of systemic nature: into the transition from postindustrial type economy to post-economy of artificial intelligence (AI). The portent to such a "transition crisis" manifests itself in the fact that the wage level has become stable in all industrially developed countries, however, the center of revolutionary qualitative change has by now shifted to a change of the employment structure – the proportion of less qualified workers group keeps decreasing, what is more, exponentially. Meanwhile, bearing in mind that live labor is the major source of increment of national wealth in sustainable postindustrial economy, it can be stated that it has reached the limit of its constructive capacities and urgently demands bringing the "personal factor" of production beyond boundaries of the latter. It is "post-economy of artificial intelligence" that is up to this imperative. It is characterized by the priority of the new source of energy and social communicating technology, it forms a brand-new economic basis which exceeds the potential of postindustrial production. What actually happens is the transition from the "economy of scarcity" to the "economy of abundance". This entails new architectonics of a social order. In post-economy of artificial intelligence, software-controlled production, service and transaction structures gain the global nature initially. As a result, "artificial intelligence" appears to be the creative software. In the new situation, the emergence of more complicated forms of economy is inevitable. Market institutions – competition, innovation, marketability – will be put to comprehensive tests too. A bunch of theoretical questions arise that can be answered by the economic science. It is searching for answers to the set questions that is in the focus of attention of this paper.

Suggested Citation

  • Oktay Mamedov & Yuri Tumanyan & Oksana Ishchenko-Padukova & Irina Movchan, 2018. "Sustainable economic development and post-economy of artificial intelligence," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(2), pages 1028-1040, December.
    • Handle: RePEc:ssi:jouesi:v:6:y:2018:i:2:p:1028-1040
    DOI: 10.9770/jesi.2018.6.2(37)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/22/Mamedov_Sustainable_economic_development_and_posteconomy_of_artificial_intelligence.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/jesi/article/268
    Download Restriction: no
    File URL: https://libkey.io/10.9770/jesi.2018.6.2(37)?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. Evgeny Lisin & Alexander Sobolev & Wadim Strielkowski & Ivan Garanin, 2016. "Thermal Efficiency of Cogeneration Units with Multi-Stage Reheating for Russian Municipal Heating Systems," Energies, MDPI, vol. 9(4), pages 1-19, April.
    2. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    3. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    4. Evgeny Lisin & Andrey Rogalev & Wadim Strielkowski & Ivan Komarov, 2015. "Sustainable Modernization of the Russian Power Utilities Industry," Sustainability, MDPI, vol. 7(9), pages 1-23, August.
    5. John F. Y. Brookfield, 2001. "Predicting the future," Nature, Nature, vol. 411(6841), pages 999-999, June.
    6. Wadim Strielkowski & Blanka Weyskrabova, 2014. "Ukrainian Labour Migration and Remittances in the Czech Republic," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(1), pages 30-45, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Violeta Sima & Ileana Georgiana Gheorghe & Jonel Subić & Dumitru Nancu, 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
    2. Kexu Wu & Zhiwei Tang & Longpeng Zhang, 2022. "Population Aging, Industrial Intelligence and Export Technology Complexity," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    3. Denicolai, Stefano & Zucchella, Antonella & Magnani, Giovanna, 2021. "Internationalization, digitalization, and sustainability: Are SMEs ready? A survey on synergies and substituting effects among growth paths," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

    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. Evgeny Lisin & Wadim Strielkowski & Veronika Chernova & Alena Fomina, 2018. "Assessment of the Territorial Energy Security in the Context of Energy Systems Integration," Energies, MDPI, vol. 11(12), pages 1-14, November.
    2. Evgeny Lisin & Galina Kurdiukova & Pavel Okley & Veronika Chernova, 2019. "Efficient Methods of Market Pricing in Power Industry within the Context of System Integration of Renewable Energy Sources," Energies, MDPI, vol. 12(17), pages 1-16, August.
    3. Vladimir Kindra & Andrey Rogalev & Evgeny Lisin & Sergey Osipov & Olga Zlyvko, 2021. "Techno-Economic Analysis of the Oxy-Fuel Combustion Power Cycles with Near-Zero Emissions," Energies, MDPI, vol. 14(17), pages 1-22, August.
    4. Manuela Tvaronavičienė & Evgeny Lisin & Vladimir Kindra, 2020. "Power Market Formation for Clean Energy Production as the Prerequisite for the Country’s Energy Security," Energies, MDPI, vol. 13(18), pages 1-14, September.
    5. António B. Moniz & Bettina-Johanna Krings, 2016. "Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry," Societies, MDPI, vol. 6(3), pages 1-21, August.
    6. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.
    7. Herbert Dawid & Michael Neugart, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
    8. Nicolaj S{o}ndergaard Muhlbach, 2021. "occ2vec: A principal approach to representing occupations using natural language processing," Papers 2111.02528, arXiv.org, revised Jul 2022.
    9. Cecily Josten & Grace Lordan, 2022. "Automation and the changing nature of work," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-15, May.
    10. Costantini, Valeria & Sforna, Giorgia, 2020. "A dynamic CGE model for jointly accounting ageing population, automation and environmental tax reform. European Union as a case study," Economic Modelling, Elsevier, vol. 87(C), pages 280-306.
    11. Michael Koch & Ilya Manuylov & Marcel Smolka, 2021. "Robots and Firms," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2553-2584.
    12. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    13. Iftekhairul Islam & Fahad Shaon, 2020. "If the Prospect of Some Occupations Are Stagnating With Technological Advancement? A Task Attribute Approach to Detect Employment Vulnerability," Papers 2001.02783, arXiv.org.
    14. Michelle Yin & Burhan Ogut, 2026. "Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure," Papers 2605.21743, arXiv.org, revised May 2026.
    15. Stemmler, Henry, 2019. "Does automation lead to de-industrialization in emerging economies? Evidence from Brazil," University of Göttingen Working Papers in Economics 382, University of Goettingen, Department of Economics.
    16. Arendt, Lukasz & Gałecka-Burdziak, Ewa & Núñez, Fernando & Pater, Robert & Usabiaga, Carlos, 2023. "Skills requirements across task-content groups in Poland: What online job offers tell us," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    17. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    18. Caroline Lloyd & Jonathan Payne, 2021. "Fewer jobs, better jobs? An international comparative study of robots and ‘routine’ work in the public sector," Industrial Relations Journal, Wiley Blackwell, vol. 52(2), pages 109-124, March.
    19. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    20. Pietro Checcucci, 2019. "The Silver Innovation. Older workers characteristics and digitalisation of the economy," Working Papers 0040, ASTRIL - Associazione Studi e Ricerche Interdisciplinari sul Lavoro.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E19 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Other
    • P10 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - General
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

    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:ssi:jouesi:v:6:y:2018:i:2:p:1028-1040. 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: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    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.