Artificial Intelligence, Firm Heterogeneity, and Labor Market Adjustment: Evidence from Service and Industrial Tech Sectors in Italy
Ebrima K. Ceesay, Mamadou Salieu Jallow, Cosimo Magazzino, Alasana Gitteh, Baseedy Bojang · Muslim Business and Economic Review · 30 Jun 2026
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Where this sits in the debate
- Will AI actually boost productivity and growth? · its finding: it depends (why studies differ)
- Will AI destroy more jobs than it creates? · its finding: it depends (why studies differ)
- Will AI widen inequality? · its finding: it depends (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Key takeaway AI-written
With a 2005-2024 firm panel for two Italian companies, a bank and an industrial tech firm, the study uses AI patent stock as an exposure proxy in fixed-effects regressions. Pooled estimates are positive, but separately the bank shows lower employment and labor cost shares with higher productivity growth, while the tech firm shows negative effects on employment, wages and labor cost shares.
Abstract
This study assesses how changes in AI patent stock affect employment, wages, productivity, and labor cost shares. It compares pooled estimates with firm-specific effects for UniCredit and Zerynth in Italy, representing the banking services and industrial tech sectors, respectively. Using a firm-level panel dataset from 2005 to 2024, the study applies task-based and skill-biased technological change frameworks to analyze how exposure to Artificial Intelligence (AI), proxied by AI patent stock, affects labor-market dynamics in the Italian economy. Our empirical strategy used fixed-effects regressions. The results show a dual pattern of technological adjustment. In pooled models, AI-related innovation has a positive and statistically significant effect on labor-market outcomes. However, when firms are analyzed separately, the effects diverge. For UniCredit, AI patent stock reduces employment and labor cost shares while raising productivity growth, with wage effects remaining small or insignificant. On the other hand, for Zerynth, AI patent stock produces consistently negative and significant effects on employment, wages, and labor cost shares. Overall, the findings highlight strong task-level substitution but heterogeneous firm-level outcomes, underscoring the need for targeted reskilling and labor-augmenting innovation policies in Italy’s digital transition.
About this publication
Academic journal. Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.
- Published
- 2026 (4 months ago)
- Citations
- 0 (OpenAlex)
0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.
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