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Artificial intelligence and productivity: an intangible assets approach

Author

Listed:
  • 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. 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.
    3. 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.
    4. Josh Martin & Rebecca Riley, 2023. "Productivity measurement - Reassessing the production function from micro to macro," Working Papers 033, The Productivity Institute.
    5. 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.
    6. 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.
    7. 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.
    8. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    9. repec:gdk:wpaper:67 is not listed on IDEAS
    10. 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.
    11. 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).

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