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Artificial intelligence and productivity: global evidence from AI patent and bibliometric data

Author

Listed:
  • Aleksandra Parteka

    (Gdansk University of Technology, Gdansk, Poland)

  • Aleksandra Kordalska

    (Gdansk University of Technology, Gdansk, Poland)

Abstract
In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our instrumental variable estimates, which account for AI endogeneity, provide evidence in favour of the modern productivity paradox. We show that the development of AI technologies remains a niche innovation phenomenon with a negligible role in the officially recorded productivity growth process. This general result, i.e. a lack of a strong relationship between AI and macroeconomic productivity growth, is robust to changes in the country sample, in the way we quantify labour productivity and technology (including AI stock), in the specification of the empirical model (control variables) and in estimation methods.

Suggested Citation

  • Aleksandra Parteka & Aleksandra Kordalska, 2022. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," GUT FME Working Paper Series A 67, Faculty of Management and Economics, Gdansk University of Technology, revised Sep 2022.
  • Handle: RePEc:gdk:wpaper:67
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    More about this item

    Keywords

    technological innovation; productivity paradox; productivity growth; artificial intelligence; patents;
    All these keywords.

    JEL classification:

    • 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

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