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

2023/05/12 by Aleksandra Parteka, Aleksandra Kordalska · 7 citations
Economics, Econometrics and Finance · #Economic Growth and Productivity #Economic and Technological Innovation #Firm Innovation and Growth

paper · doi:10.1016/j.technovation.2023.102764

openalex publication_date 2023/05/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic 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 estimates 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 registered 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.

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