Reindustrialization Through <scp>AI</scp> and Automation? Productivity and Sectoral Employment in Advanced Economies

ABSTRACT This article examines the possible impact of AI, via associated productivity improvements, on sectoral employment dynamics across 36 sectors within 30 advanced economies over the period 1996–2021. Using a robust empirical framework, we employ both fixed effects and generalised method of moments estimators to account for employment persistence and endogeneity concerns. Our results suggest a divergent impact of technological progress on employment between secondary and tertiary sectors. Specifically, we find that productivity gains in secondary sectors, such as manufacturing, are associated with increased employment, whereas tertiary sectors exhibit employment contractions. These findings indicate that widespread adoption of AI and automation could contribute to reindustrialisation in advanced economies, as labour shifts from tertiary to secondary sectors. Policy implications include the need for proactive labour market policies focused on reskilling, workforce transitions, and adaptive safety nets to mitigate potential disruptions.

Authors

Institutions

Publication Details

Journal
International Journal of Finance & Economics
Published
2025-08-11
DOI
https://doi.org/10.1002/ijfe.70033
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reindustrialization Through AI and Automation? Productivity and Sectoral Employment in Advanced Economies

Marta Simões, Ana Figueiredo, Joshua Duarte, Pedro Bação
International Journal of Finance & Economics
Firm Innovation and Growth
article

Reindustrialization Through AI and Automation? Productivity and Sectoral Employment in Advanced Economies

Marta Simões, Ana Figueiredo, Joshua Duarte, Pedro Bação
article en

Abstract

ABSTRACT This article examines the possible impact of AI, via associated productivity improvements, on sectoral employment dynamics across 36 sectors within 30 advanced economies over the period 1996–2021. Using a robust empirical framework, we employ both fixed effects and generalised method of moments estimators to account for employment persistence and endogeneity concerns. Our results suggest a divergent impact of technological progress on employment between secondary and tertiary sectors. Specifically, we find that productivity gains in secondary sectors, such as manufacturing, are associated with increased employment, whereas tertiary sectors exhibit employment contractions. These findings indicate that widespread adoption of AI and automation could contribute to reindustrialisation in advanced economies, as labour shifts from tertiary to secondary sectors. Policy implications include the need for proactive labour market policies focused on reskilling, workforce transitions, and adaptive safety nets to mitigate potential disruptions.

International Journal of Finance & Economics
University of Coimbra (PT)
Decent work and economic growth
Openalex Percentile: Top 72%
Firm Innovation and Growth
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.

Reindustrialization Through <scp>AI</scp> and Automation? Productivity and Sectoral Employment in Advanced Economies — Marta Simões, Ana Figueiredo, et al. · International Journal of Finance & Economics (2025) | TGRS Research Map | TGRS