Industrial robots lifted sectoral median wages across 20 European countries in 2010–2018, with routine manual workers among the biggest beneficiaries; Eastern Europe saw twice the wage gains of Western Europe because automation there accompanied FDI and sectoral expansion, while Western gains reflected shrinking routine worker shares.

The effects of automation on workers’ wages

Karol Madoń · January 02, 2026 · Baltic Journal of Economics

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Between 2010 and 2018, greater industrial robot adoption raised median sectoral wages relative to the country median across 20 European countries—especially in routine and nonroutine manual occupations—with Eastern Europe gaining about twice as much as Western Europe due to FDI‑linked expansion versus compositional changes in the West.

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This study examines the impact of industrial robots on relative sectoral wages across 20 European countries from 2010 to 2018. It finds a net positive effect of robot adoption on median sectoral wages relative to the country median, with the strongest effects observed among routine manual and nonroutine manual occupations. Importantly, these effects vary across regions – workers in Eastern European countries benefit twice as much from automation as their Western European counterparts. The difference stems from the nature of automation investments – in Eastern Europe, automation is linked to foreign direct investments and sectoral expansion, whereas in Western Europe, higher relative sectoral wages are associated with a decreasing share of routine workers. Results are robust to excluding different capital measures, a battery of fixed effects, a change of instruments, and alternative measures of wages and task group allocations.

Summary

Main Finding

The adoption of industrial robots across 20 European countries (2010–2018) raised median sectoral wages relative to the country median. Effects were strongest for routine manual and nonroutine manual occupations and were substantially larger in Eastern Europe (about twice the gain) than in Western Europe. Mechanistically, Eastern gains are linked to automation tied to FDI and sectoral expansion; in the West, rising relative sectoral wages co-occur with a falling share of routine workers.

Key Points

Net effect: Robot adoption increased median sectoral wages relative to the country median (positive net wage effect).
Occupational heterogeneity: Largest wage gains in routine manual and nonroutine manual task groups.
Regional heterogeneity: Eastern European workers experience roughly double the wage benefit compared with Western Europe.
Mechanisms differ by region:
- Eastern Europe: Automation correlated with inbound FDI and expansion of sectors (likely complementing capital and boosting demand for local labor).
- Western Europe: Higher relative sectoral wages appear alongside declines in the share of routine workers (suggesting labor reallocation or compositional change).
Robustness: Results hold when excluding alternative capital measures, adding many fixed effects, changing the instrument(s) for robot adoption, and using alternative wage measures and task-group allocations.

Data & Methods

Sample: Sector-level panel across 20 European countries, 2010–2018.
Key variables:
- Sectoral median wage (relative to country median).
- Measure(s) of industrial robot adoption at the sector level.
- Occupational task-group shares (routine manual, nonroutine manual, etc.).
- Controls for capital and other sector/country characteristics.
Identification strategy:
- Panel regression framework with extensive fixed effects to control for time-invariant and some time-varying confounders.
- Instrumented robot adoption (authors report robustness to alternative instruments), addressing endogeneity of robot investments.
Robustness checks: Excluding different capital measures, adding a battery of fixed effects, alternative instruments, alternative wage definitions, and different task-group allocations.

Implications for AI Economics

Automation can raise sectoral wages, not only depress them: Policy and theory should account for positive wage effects at the sectoral level, especially where automation is paired with investment and expansion.
Distributional heterogeneity matters: Impacts vary substantially across regions and occupational task types; cross-country institutional and investment contexts shape outcomes.
Role of FDI and sector dynamics: Complementary investments (FDI) and sectoral growth can turn automation into a wage-enhancing force—policies that encourage productive investment may amplify positive labor outcomes.
Labor reallocation vs. complementary-demand effects: In advanced (Western) contexts, automation may operate more through compositional changes (declining routine share), whereas in developing/manufacturing-attracting regions it may expand overall demand for labor.
Policy takeaways:
- Support skills and mobility where automation displaces routine jobs to capture compositional gains without leaving workers behind.
- Use industrial policy and investment promotion to channel automation into job- and wage-enhancing growth (as observed with FDI-linked automation).
- Monitor within-sector distributional effects (median gains could mask losers) and design safety nets or retraining accordingly.
Research directions: Examine firm-level channels, long-run employment effects, within-sector wage dispersion, and how AI (beyond physical robots) compares in these regional mechanisms.

Assessment

Paper Typequasi_experimental Evidence Strengthmedium — The panel and instrumented analysis across 20 countries with multiple robustness checks provide credible quasi‑causal evidence; however, the design remains observational, relies on instrument validity and sector-level aggregates, and may not fully rule out remaining confounding or general equilibrium effects. Methods Rigorhigh — The study implements a battery of rigorous checks — alternative instruments, exclusion of various capital measures, many fixed effects, and alternative outcome/task definitions — indicating careful attention to endogeneity and measurement concerns, though standard limitations of instrumented observational work remain. SamplePanel of sector × country × year observations covering 20 European countries from 2010–2018, with measures of sectoral robot adoption, median sectoral wages (expressed relative to country median), occupational task-group shares (routine manual, nonroutine manual, etc.), and controls including capital measures and FDI/sector expansion indicators. Themeslabor_markets adoption inequality IdentificationUses panel variation in sector-by-country robot adoption over 2010–2018 and instruments for robot uptake (authors report robustness to alternative instruments), combined with extensive fixed effects and controls to isolate the effect of exogenous robot exposure on median sectoral wages. GeneralizabilityRestricted to European countries (20) and the 2010–2018 period — may not transfer to non‑European or more recent contexts, Analyzes sector-level outcomes, so findings may not reflect individual worker heterogeneity within sectors, Focuses on industrial robots (hardware automation), so results may not generalize to software/AI-driven automation, Heterogeneous regional mechanisms (FDI-driven in East) indicate contextual dependence of effects

Claims (6)

Claim	Direction	Outcome	Confidence & Evidence	Details
This study examines the impact of industrial robots on relative sectoral wages across 20 European countries from 2010 to 2018. Other	null_result	study scope (data coverage: countries and years)	Reading fidelity high Study strength high	n=20 0.8
Robot adoption has a net positive effect on median sectoral wages relative to the country median. Wages	positive	median sectoral wages relative to country median	Reading fidelity high Study strength medium	not reported 0.48
The strongest wage effects of robot adoption are observed among routine manual and nonroutine manual occupations. Wages	positive	wage effects by occupational task group (routine manual and nonroutine manual)	Reading fidelity high Study strength medium	not reported 0.48
Workers in Eastern European countries benefit twice as much from automation as their Western European counterparts. Wages	positive	relative sectoral wages (East vs West comparison)	Reading fidelity high Study strength medium	twice as much 0.48
The regional difference arises because in Eastern Europe automation is linked to foreign direct investment (FDI) and sectoral expansion, while in Western Europe higher relative sectoral wages are associated with a decreasing share of routine workers. Task Allocation	mixed	mechanisms linking robot adoption to wage outcomes (FDI/sectoral expansion vs occupational composition changes)	Reading fidelity medium Study strength medium	not reported 0.29
Results are robust to excluding different capital measures, adding a battery of fixed effects, changing instruments, and using alternative measures of wages and task group allocations. Wages	null_result	robustness of estimated effect of robot adoption on sectoral wages	Reading fidelity high Study strength medium	not reported 0.48