Migration vs. automation as an answer to labour shortages: Firm-level analysis for Austria

This working paper is D7.3 (T3.4) of the Horizon Europe project GS4S - Global Strategy for Skills, Migration and Development (gs4s.eu). Labour shortages in Europe have led firms to adopt two key strategies: automation and the employment of migrants. This study empirically examines the relationship between robot adoption and immigrant labour (differentiated by region of origin and education level) in Austrian firms using a novel dataset linking firm-level survey data on robotics adoption from Austria’s Information and Communication Technologies (IKTU[1]) surveys (waves 2018, 2020 and 2022) with registry-based employment records. Employing Poisson pseudo-maximum likelihood (PPML) estimations, we analyse firm-level employment decisions while controlling for firm characteristics, industry and region. Our findings show that firms adopting robots tend to employ more workers overall, particularly those with low and medium education levels. Notably, robot-adopting firms employ a higher share of low-educated migrants who are not from the European Economic Area (EEA), suggesting complementarity rather than substitution. However, automation appears to reduce the employment of highly educated migrant workers relative to natives. Distinguishing between industrial and service robots, we find that service robots have a stronger association with employment growth than industrial robots. The impact of robot adoption also differs by sector and is most pronounced in manufacturing, whereas its effects vary in the private service sectors. Our findings suggest that while automation can alleviate labour shortages, it may reinforce labour market segmentation. For EU policy makers, targeted interventions are needed to support the transition of migrant workers into higher-skilled occupations and to ensure that the benefits of automation are equitably distributed. Given the EU-wide relevance of automation and migration dynamics, these results provide insights that are also applicable beyond Austria. [1] In German: Einsatz von Informations- und Kommunikationstechnologien in Unternehmen (IKTU) 2018.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.15115025
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Migration vs. automation as an answer to labour shortages: Firm-level analysis for Austria

Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Work Transformation
article

Migration vs. automation as an answer to labour shortages: Firm-level analysis for Austria

article en

Abstract

This working paper is D7.3 (T3.4) of the Horizon Europe project GS4S - Global Strategy for Skills, Migration and Development (gs4s.eu). Labour shortages in Europe have led firms to adopt two key strategies: automation and the employment of migrants. This study empirically examines the relationship between robot adoption and immigrant labour (differentiated by region of origin and education level) in Austrian firms using a novel dataset linking firm-level survey data on robotics adoption from Austria’s Information and Communication Technologies (IKTU[1]) surveys (waves 2018, 2020 and 2022) with registry-based employment records. Employing Poisson pseudo-maximum likelihood (PPML) estimations, we analyse firm-level employment decisions while controlling for firm characteristics, industry and region. Our findings show that firms adopting robots tend to employ more workers overall, particularly those with low and medium education levels. Notably, robot-adopting firms employ a higher share of low-educated migrants who are not from the European Economic Area (EEA), suggesting complementarity rather than substitution. However, automation appears to reduce the employment of highly educated migrant workers relative to natives. Distinguishing between industrial and service robots, we find that service robots have a stronger association with employment growth than industrial robots. The impact of robot adoption also differs by sector and is most pronounced in manufacturing, whereas its effects vary in the private service sectors. Our findings suggest that while automation can alleviate labour shortages, it may reinforce labour market segmentation. For EU policy makers, targeted interventions are needed to support the transition of migrant workers into higher-skilled occupations and to ensure that the benefits of automation are equitably distributed. Given the EU-wide relevance of automation and migration dynamics, these results provide insights that are also applicable beyond Austria. [1] In German: Einsatz von Informations- und Kommunikationstechnologien in Unternehmen (IKTU) 2018.

Zenodo (CERN European Organization for Nuclear Research)
Vienna Institute for International Economic Studies (AT)
Reduced inequalities
Openalex Percentile: Top 46%
Digital Economy and Work Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Migration vs. automation as an answer to labour shortages: Firm-level analysis for Austria · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS