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Artificial intelligence and productivity: an intangible assets approach

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  • Carol Corrado
  • Jonathan Haskel
  • Cecilia Jona-Lasinio

Abstract

Can artificial intelligence (AI) raise productivity? If we regard AI as a combination of software, hardware, and database use, then it can be modelled as a combination of the deployment of intangible and tangible assets. Since some are measured and some are not, then conventional productivity analysis might miss the contribution of AI. We set out whether there is any evidence to support this view.

Suggested Citation

  • Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
    • Handle: RePEc:oup:oxford:v:37:y:2021:i:3:p:435-458.
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    File URL: http://hdl.handle.net/10.1093/oxrep/grab018
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    Citations

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    Cited by:

    1. Martin Fleming, 2023. "Enterprise Information and Communications Technology – Software Pricing and Developer Productivity Measurement," Working Papers 037, The Productivity Institute.
    2. Xie, Xiaoyu & Yan, Jun, 2024. "How does artificial intelligence affect productivity and agglomeration? Evidence from China's listed enterprise data," International Review of Economics & Finance, Elsevier, vol. 94(C).
    3. Mercedes Gumbau-Albert, 2024. "Understanding the Impact of Intangible Capital on Entrepreneurship at the Regional Level," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11063-11089, September.
    4. Bernardo Caldarola & Luca Fontanelli, 2024. "Cloud technologies, firm growth and industry concentration: Evidence from France," LEM Papers Series 2024/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    6. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
    7. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio & Massimiliano Iommi, 2022. "Intangible Capital and Modern Economies," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 3-28, Summer.
    8. Peter Claeys & Juan Jung & Gonzalo Gómez-Bengoechea, 2024. "Laggards v Leaders: Productivity and Innovation Catchup," Working Papers 2024.01, International Network for Economic Research - INFER.
    9. Flavio Calvino & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," CEP Discussion Papers dp2055, Centre for Economic Performance, LSE.
    10. Saam Marianne, 2024. "The Impact of Artificial Intelligence on Productivity and Employment – How Can We Assess It and What Can We Observe?," Intereconomics: Review of European Economic Policy, Sciendo, vol. 59(1), pages 22-27, February.
    11. Raluca-Florentina Cretu & Daniela Tutui & Viorel-Costin Banta & Elena Claudia Serban & Laura - Eugenia - Lavinia Barna & Romeo-Catalin Cretu, 2024. "Effects of Artificial Intelligence-Based Technologies Implementation s on the Skills Needed in the Automotive Industry A Bibliometric Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 801-801, August.
    12. Madanaguli, Arun & Sjödin, David & Parida, Vinit & Mikalef, Patrick, 2024. "Artificial intelligence capabilities for circular business models: Research synthesis and future agenda," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    13. Manuel Hoffmann & Sam Boysel & Frank Nagle & Sida Peng & Kevin Xu, 2024. "Generative AI and the Nature of Work," CESifo Working Paper Series 11479, CESifo.
    14. Josh Martin & Rebecca Riley, 2023. "Productivity measurement - Reassessing the production function from micro to macro," Working Papers 033, The Productivity Institute.
    15. Simona Andreea Apostu & Valentina Vasile & Cristina Veres, 2021. "Externalities of Lean Implementation in Medical Laboratories. Process Optimization vs. Adaptation and Flexibility for the Future," IJERPH, MDPI, vol. 18(23), pages 1-22, November.
    16. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    17. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    18. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    19. Rasmus Bøgh Holmen & Timo Kuosmanen & Jaan Masso & Per Botolf Maurseth & Kenneth Løvold Rødseth, 2024. "Optimal Intertemporal Broadband Investments To Promote Regional Economic Development," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 149, Faculty of Economics and Business Administration, University of Tartu (Estonia).

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