IDEAS home Printed from https://ideas.repec.org/a/spr/eaiere/v17y2020i1d10.1007_s40844-019-00157-x.html
   My bibliography  Save this article

Economic patterns in a world with artificial intelligence

Author

Listed:
  • Dirk Nicolas Wagner

    (Karlshochschule International University)

Abstract

This article outlines relevant economic patterns in a world with artificial intelligence (AI). Five specific economic patterns influenced by AI are discussed: (1) following in the footsteps of ‘homo economicus’ a new type of agent, ‘machina economica’, enters the stage of the global economy. (2) The pattern of division of labor and specialization is further accelerated by AI-induced micro-division of labor. (3) The introduction of AI leads to triangular agency relationships and next level information asymmetries. (4) Data and AI-based machine labor have to be understood as new factors of production. (5) The economics of AI networks can lead to market dominance and unwanted external effects. The analytical perspective is rooted in institutional economics and serves to integrate findings from relevant disciplines in economics and computer science. It is based on the research proposition that ‘institutional matters’ are of high relevance also in a world with AI but that AI gives a new meaning to these matters. The discussion unveils a reinforcing interdependence of the patterns portrayed and points to required research.

Suggested Citation

  • Dirk Nicolas Wagner, 2020. "Economic patterns in a world with artificial intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 111-131, January.
  • Handle: RePEc:spr:eaiere:v:17:y:2020:i:1:d:10.1007_s40844-019-00157-x
    DOI: 10.1007/s40844-019-00157-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40844-019-00157-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40844-019-00157-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-795, December.
    2. Erik Brynjolfsson, 1994. "Information Assets, Technology and Organization," Management Science, INFORMS, vol. 40(12), pages 1645-1662, December.
    3. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, March.
    4. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    5. Marc Rysman, 2009. "The Economics of Two-Sided Markets," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 125-143, Summer.
    6. Arthur T. Denzau & Douglass C. North, 1994. "Shared Mental Models: Ideologies and Institutions," Kyklos, Wiley Blackwell, vol. 47(1), pages 3-31, February.
    7. Richard Abel Musgrave, 1939. "The Voluntary Exchange Theory of Public Economy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 53(2), pages 213-237.
    8. Koppl, Roger & Kauffman, Stuart & Felin, Teppo & Longo, Giuseppe, 2015. "Economics for a creative world," Journal of Institutional Economics, Cambridge University Press, vol. 11(1), pages 1-31, March.
    9. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    10. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    11. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    12. Shu-Heng Chen & Ragupathy Venkatachalam, 2017. "Information aggregation and computational intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 14(1), pages 231-252, June.
    13. Jason Furman & Robert Seamans, 2019. "AI and the Economy," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 161-191.
    14. Roger Koppl & Stuart Kauffman & Giuseppe Longo & Teppo ­­­felin, 2015. "Economics for a creative world," Post-Print hal-01415131, HAL.
    15. Martin Hilbert, 2016. "Big Data for Development: A Review of Promises and Challenges," Development Policy Review, Overseas Development Institute, vol. 34(1), pages 135-174, January.
    16. Alvin E. Roth, 2002. "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," Econometrica, Econometric Society, vol. 70(4), pages 1341-1378, July.
    17. Koppl, Roger & Kauffman, Stuart & Felin, Teppo & Longo, Giuseppe, 2015. "Economics for a creative world: a response to comments," Journal of Institutional Economics, Cambridge University Press, vol. 11(1), pages 61-68, March.
    18. Hausmann, Ricardo & Hidalgo, Cesar, 2014. "The Atlas of Economic Complexity: Mapping Paths to Prosperity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262525429, December.
    19. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    20. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, December.
    21. J. Barkley Rosser & Marina V. Rosser, 2017. "Complexity and institutional evolution," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 415-430, December.
    22. Hal R Varian, 2014. "Beyond Big Data," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(1), pages 27-31, January.
    23. Francesco Parisi, 2004. "Positive, Normative and Functional Schools in Law and Economics," European Journal of Law and Economics, Springer, vol. 18(3), pages 259-272, December.
    24. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    25. Avi Goldfarb & Daniel Trefler, 2018. "AI and International Trade," NBER Working Papers 24254, National Bureau of Economic Research, Inc.
    26. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    27. Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-578, September.
    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. von Maydell, Richard, 2024. "Artificial Intelligence and its Effect on Competition and Factor Income Shares," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277654, Verein für Socialpolitik / German Economic Association, revised 2024.
    3. Decheng Fan & Kairan Liu, 2021. "The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    4. Long, Vicky & Bjuggren, Per-Olof, 2022. "Working Paper No. 355: The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?," Ratio Working Papers 355, The Ratio Institute.
    5. Jan Niederreiter, 2023. "Broadening Economics in the Era of Artificial Intelligence and Experimental Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 265-294, March.
    6. Ron Wallace, 2021. "Configuring Hayek versus Keynes: Decentralisation, regulation, and computational discovery procedures," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 465-471, October.
    7. Naudé, Wim, 2023. "Artificial Intelligence and the Economics of Decision-Making," IZA Discussion Papers 16000, Institute of Labor Economics (IZA).

    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. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
    2. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201704300700001022, Iowa State University, Department of Economics.
    3. Leigh Tesfatsion, 2017. "Modeling economic systems as locally-constructive sequential games," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(4), pages 384-409, October.
    4. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201703280700001022, Iowa State University, Department of Economics.
    5. Moreno-Casas, Vicente & Espinosa, Victor I. & Wang, William Hongsong, 2022. "The political economy of complexity: The case of cyber-communism," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 566-580.
    6. James Caton, 2017. "Entrepreneurship, search costs, and ecological rationality in an agent-based economy," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 107-130, March.
    7. Darcy W E Allen, 2020. "When Entrepreneurs Meet:The Collective Governance of New Ideas," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number q0269, January.
    8. James Lee Caton, 2019. "Creativity in a theory of entrepreneurship," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 8(4), pages 442-469, September.
    9. Moshe A. Barach & Aseem Kaul & Ming D. Leung & Sibo Lu, 2019. "Strategic Redundancy in the Use of Big Data: Evidence from a Two-Sided Labor Market," Strategy Science, INFORMS, vol. 4(4), pages 298-322, December.
    10. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    11. Saul Estrin & Susanna Khavul & Mike Wright, 2022. "Soft and hard information in equity crowdfunding: network effects in the digitalization of entrepreneurial finance," Small Business Economics, Springer, vol. 58(4), pages 1761-1781, April.
    12. Steinbacher, Matjaz, 2008. "Stochastic Processes in Finance and Behavioral Finance," MPRA Paper 13603, University Library of Munich, Germany.
    13. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    14. Santiago J. Gangotena, 2017. "Dynamic coordinating non-equilibrium," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 51-82, March.
    15. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    16. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers Archive 12402, Iowa State University, Department of Economics.
    17. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    18. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    19. Klaus Jaffe, 2015. "Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus," Papers 1509.04264, arXiv.org, revised Nov 2015.
    20. Dirk Helbing & Thomas U. Grund, 2013. "Editorial: Agent-Based Modeling And Techno-Social Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-3.

    More about this item

    Keywords

    Artificial intelligence; Division of labor; Methodological individualism; Principal–agent problem; Economics of networks; Entrepreneurial economics;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • B12 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Classical (includes Adam Smith)
    • B15 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Historical; Institutional; Evolutionary
    • B25 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Historical; Institutional; Evolutionary; Austrian; Stockholm School
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - 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:spr:eaiere:v:17:y:2020:i:1:d:10.1007_s40844-019-00157-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.