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

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: GUT FME Working Paper Series A ; No. 1/2022 (67)

Classification and Topics

• Classification: Wirtschaft ; Technological Change: Choices and Consequences; Diffusion Processes ; Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
• Subject: technological innovation ; productivity paradox ; productivity growth ; artificial intelligence ; patents

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Parteka, Aleksandra ; Kordalska, Aleksandra
• Event: Veröffentlichung
• (who): Gdańsk University of Technology, Faculty of Management and Economics
• (where): Gdańsk
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/273131
• Last update: 10.03.2025, 11:42 AM CET