IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/128792.html

After Labor and Capital The Political Economy of the Transitional Period

Author

Listed:
  • Voloshchuk, Aleksey

Abstract

This manuscript argues that information should no longer be treated merely as one factor among others, but as a metafactor that increasingly reorganizes labor, capital, institutions, and growth. The central claim is that contemporary economies are entering a transition period in which the cost of generating signals, models, texts, and decisions falls much faster than the cost of verifying them. As a result, the decisive constraint gradually shifts from production to selection, validation, and institutional recognition. To formalize this shift, the book introduces the concept of the verification bottleneck, κ, understood not as a sector-specific obstacle but as a general structural limit on the conversion of available information into economically effective knowledge, I∗. On this basis, the manuscript reinterprets major traditions of economic thought as partial descriptions of one broader informational process and develops implications for labor displacement, the changing nature of capital, platform power, growth regimes, and the political economy of verification. The argument is supported by a formal appendix and an empirical appendix combining cross-country evidence, platform-era labor-share dynamics, and new indicators related to verification capacity. The broader conclusion is that the main conflict of the transition period no longer concerns only ownership of capital or control of labor, but increasingly the control of infrastructures and procedures through which signals acquire the status of legitimate knowledge.

Suggested Citation

  • Voloshchuk, Aleksey, 2026. "After Labor and Capital The Political Economy of the Transitional Period," MPRA Paper 128792, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:128792
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/128792/1/MPRA_paper_128792.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    3. Kathryn Tunyasuvunakool & Jonas Adler & Zachary Wu & Tim Green & Michal Zielinski & Augustin Žídek & Alex Bridgland & Andrew Cowie & Clemens Meyer & Agata Laydon & Sameer Velankar & Gerard J. Kleywegt, 2021. "Highly accurate protein structure prediction for the human proteome," Nature, Nature, vol. 596(7873), pages 590-596, August.
    4. Nordhaus, William D., 2007. "Two Centuries of Productivity Growth in Computing," The Journal of Economic History, Cambridge University Press, vol. 67(1), pages 128-159, March.
    5. 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.
    6. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    7. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    8. Craig S Wright, 2025. "Epistemic Scarcity: The Economics of Unresolvable Unknowns," Papers 2507.01483, arXiv.org.
    9. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    10. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    11. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    12. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    13. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    14. Carlota Perez, 2002. "Technological Revolutions and Financial Capital," Books, Edward Elgar Publishing, number 2640.
    15. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2025. "Robots vs. Workers: Evidence From a Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 39(5), pages 2254-2271, December.
    16. Diane Coyle, 2014. "GDP: A Brief but Affectionate History," Economics Books, Princeton University Press, edition 1, number 10183, December.
    17. Antoine Bérut & Artak Arakelyan & Artyom Petrosyan & Sergio Ciliberto & Raoul Dillenschneider & Eric Lutz, 2012. "Experimental verification of Landauer’s principle linking information and thermodynamics," Nature, Nature, vol. 483(7388), pages 187-189, March.
    18. Enrique Ide & Eduard Talamas, 2023. "Artificial Intelligence in the Knowledge Economy," Papers 2312.05481, arXiv.org, revised May 2025.
    19. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    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. Voloshchuk, Aleksey, 2026. "After Labor and Capital The Political Economy of the Transitional Period," SocArXiv 2xkdh_v1, Center for Open Science.
    2. Georgios A. Tritsaris, 2025. "Occupational Tasks, Automation, and Economic Growth: A Modeling and Simulation Approach," Papers 2512.16261, arXiv.org, revised Dec 2025.
    3. Hou, Yao & Huang, Jinglei & Xie, Danxia & Zhou, Weidi, 2025. "The limits to growth in the AI-driven economy," China Economic Review, Elsevier, vol. 94(PA).
    4. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    5. Ajay K. Agrawal & John McHale & Alexander Oettl, 2026. "AI in Science," NBER Chapters, in: The Economics of Science: Taking Stock and Looking Ahead, National Bureau of Economic Research, Inc.
    6. Shohei Momoda & Takayuki Ogawa & Ryosuke Shimizu, 2024. "Automation and Growth Patterns in an Open Economy," KIER Working Papers 1109, Kyoto University, Institute of Economic Research.
    7. Jeon, Heesang, 2015. "Knowledge and Contemporary Capitalism in Light of Marx's Value Theory," Thesis Commons g5njk, Center for Open Science.
    8. Xavier Sala-i-Martin, 2002. "15 Years of New Growth Economics : What Have we Learnt?," Journal Econom a Chilena (The Chilean Economy), Central Bank of Chile, vol. 5(2), pages 5-15, August.
    9. Gomes, Orlando, 2007. "Externalities in R&D: a route to endogenous fluctuations," MPRA Paper 2850, University Library of Munich, Germany.
    10. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 3, pages 1-72.
    11. Thomas Ziesemer, 2018. "Testing the Growth Links of Emerging Economies: Croatia in a Growing World Economy," Bulletin of Applied Economics, Risk Market Journals, vol. 5(1), pages 1-27.
    12. Michael R. Douglas & Sergiy Verstyuk, 2025. "Progress in Artificial Intelligence and its Determinants," Papers 2501.17894, arXiv.org.
    13. Martin Fleming, 2021. "Productivity Growth and Capital Deepening in the Fourth Industrial Revolution," Working Papers 010, The Productivity Institute.
    14. repec:osf:thesis:g5njk_v1 is not listed on IDEAS
    15. Lutz Arnold, 2007. "A generalized multi-country endogenous growth model," International Economics and Economic Policy, Springer, vol. 4(1), pages 61-100, April.
    16. MARTINS, Ana Paula, 2015. "Increasing Returns And Endogenous Growth: Market Size And Taste For Variety," Academica Science Journal, Economica Series, Dimitrie Cantemir University, Faculty of Economical Science, vol. 1(5), pages 3-33, June.
    17. Hromcová, Jana, 2008. "Learning-or-doing in a cash-in-advance economy with costly credit," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2826-2853, September.
    18. Aribah Aslam, 2020. "The hotly debate of human capital and economic growth: why institutions may matter?," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1351-1362, August.
    19. Harashima, Taiji, 2010. "An Asymptotically Non-Scale Endogenous Growth Model," MPRA Paper 26025, University Library of Munich, Germany.
    20. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
    21. Furukawa, Yuichi, 2007. "The protection of intellectual property rights and endogenous growth: Is stronger always better?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3644-3670, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

    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:pra:mprapa:128792. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.