Abstract

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…

Citation impact

316
total citations
FWCI
173.03
Percentile
100%
References
70
Citations per year

Authors

3

Topics & keywords

Keywords
  • Endogeneity
  • Productivity
  • Exploit
  • Panel data
  • Sample (material)
  • Industrial organization
  • Production (economics)
  • Econometrics
UN Sustainable Development Goals
  • Decent work and economic growth
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Funding