Key points are not available for this paper at this time.
Artificial Intelligence (AI) is often regarded as the next general-purpose technology with a rapid, penetrating, and far-reaching use over a broad number of industrial sectors. The main feature of new general-purpose technology is to enable new ways of production that may increase productivity. However, to date, only a few studies have investigated the likely productivity effects of AI at the firm-level, presumably due to limited data availability. We exploit unique survey data on firms’ adoption of AI technology and estimate its productivity effects with a sample of German firms. We employ both a cross-sectional dataset and a panel database. To address the potential endogeneity of AI adoption, we also implement IV estimators. We find positive and significant associations between the use of AI and firm productivity. This finding holds for different measures of AI usage, i.e., an indicator variable of AI adoption, and the intensity with which firms use AI methods in their business processes.
Building similarity graph...
Analyzing shared references across papers
Loading...
Dirk Czarnitzki
Gastón P. Fernández
Christian Rammer
Journal of Economic Behavior & Organization
KU Leuven
Centre for European Economic Research
Conseil Européen de l'Industrie des Peintures des Encres d'Imprimerie et des Couleurs d'Art
Building similarity graph...
Analyzing shared references across papers
Loading...
Czarnitzki et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d95ed75e5bcb4e3b835dc0 — DOI: https://doi.org/10.1016/j.jebo.2023.05.008
Synapse has enriched one closely related paper. Consider it for comparative context: