Artificial intelligence and firm-level productivity

Искусственный интеллект и производительность на уровне фирм
Christian Rammer, Gastón P. Fernández, Dirk Czarnitzki
2023-05-12

AI adoptionArtificial intelligenceFirm-level productivityGerman firmsInstrumental variables
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.
1
Both cross-sectional and panel analyses find positive and statistically significant associations between AI use and firm productivity.
2
Instrumental-variable estimators are employed to address potential endogeneity in firms’ AI adoption decisions.
3
The positive productivity relationship persists when AI adoption is measured either as a binary adoption indicator or by usage intensity.
4
The study uses unique survey data from German firms to estimate the firm-level productivity effects of artificial intelligence adoption.

German firms adopting artificial intelligence in their business processes

The effects of AI adoption and usage intensity on firm-level productivity

Publication Details
Publication Date
2023-05-12
Journal
Publisher
ISSN
Cited by
397
Access Type
Author Information
Authors
Christian Rammer
Gastón P. Fernández
Dirk Czarnitzki
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat →
Make a presentation
100%