Intensity of Artificial Intelligence Use and the Intensive Margin of Exports: Evidence from Firms in 12 Euro Area Countries in 2025

Joachim Wagner ()
Additional contact information
Joachim Wagner: Leuphana University Lüneburg

No 18939, IZA Discussion Papers from IZA Network @ LISER

Abstract: The use of artificial intelligence (AI) goes hand in hand with higher productivity, higher product quality, and lower trade costs. Therefore, it can be expected to be positively related to export activities. This paper uses firm-level data from 12 member countries of the Euro Area collected in 2025 to shed further light on this issue by investigating the link between the intensity of use of AI and the intensive margins of exports measured as the percentage share of exports in total sales. Applying a new machine-learning estimator, Kernel-Regularized Least Squares (KRLS), which does not impose any restrictive assumptions for the functional form of the relation between margin of exports, the intensity of use of AI and any control variables, we find that firms which use AI more intensively do export a higher share of total sales. AI intensity and export intensity are positively related.

Keywords: artificial intelligence; exports; firm level data; SAFE Data; kernel-regularized least squares (KRLS) (search for similar items in EconPapers)
JEL-codes: D22 F14 (search for similar items in EconPapers)
Date: 2026-09
References: Add references at CitEc
Citations:

Downloads: (external link)
https://docs.iza.org/dp18939.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp18939

Access Statistics for this paper

More papers in IZA Discussion Papers from IZA Network @ LISER Contact information at EDIRC.
Bibliographic data for series maintained by Mark Fallak ().