Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/273131 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
GUT FME Working Paper Series A No. 1/2022 (67)
Verlag: 
Gdańsk University of Technology, Faculty of Management and Economics, Gdańsk
Zusammenfassung: 
In this paper we analyse the effects of technological innovation in the artificial intelligence (AI) domain on productivity. We embed the recently released data on patents and publications related to AI into an augmented panel model of productivity growth, estimated for OECD countries, and compared to a non-OECD sample. Our instrumental variables' estimates, accounting for AI endogeneity, provide evidence in favour of the modern (AI) 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. the lack of a strong relationship between AI and productivity growth, is robust to changes in the country sample, in the way we quantify labour productivity or the creation of AI technology, in the specification of the empirical model (control variables) or in estimation methods.
Schlagwörter: 
technological innovation
productivity paradox
productivity growth
artificial intelligence
patents
JEL: 
O33
O47
Creative-Commons-Lizenz: 
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Dokumentart: 
Working Paper

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