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AI Adoption Among German Firms

Thomas Licht and Klaus Wohlrabe

No 11459, CESifo Working Paper Series from CESifo

Abstract: This paper examines the adoption of Artificial Intelligence (AI) among German firms, leveraging firm-level data from the ifo Business Survey. We analyze the diffusion of AI across sectors and firm sizes, showing a significant increase in AI usage from 2023 to 2024, particularly in manufacturing and services. The survey data allows us to explore not only sectoral patterns of adoption but also the drivers and barriers that firms face, including firm-specific characteristics and industry dynamics. Additionally, we investigate the role of managerial traits, such as risk tolerance and patience, in shaping AI adoption decisions. Finally, we assess the potential pro-ductivity impacts of AI at the firm level, with a focus on the expected long-term benefits of AI for different sectors of the German economy. Our findings contribute to the growing body of research on AI adoption by providing new evidence from a non-US context, offering valuable insights for both academia and politics.

Keywords: artificial intelligence; AI; ifo business survey; productivity (search for similar items in EconPapers)
JEL-codes: C83 L20 M15 O30 (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-ain, nep-cse, nep-eec, nep-eff, nep-ind, nep-ino, nep-lab, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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