EconPapers    
Economics at your fingertips  
 

AI adoption, structural constraints and inclusive growth: Evidence from Greece

Anthony Bartzokas and Pantelis C. Kostis

No 17, Working Papers from National and Kapodistrian University of Athens, Department of Economics, International Economics and Development Laboratory (IEDL)

Abstract: Artificial intelligence (AI) is increasingly characterized as a General Purpose Technology (GPT) capable of reconfiguring work, accelerating digitalization, and raising aggregate productivity. Yet the pace and inclusiveness of AI adoption depend less on technical potential than on complementary sectoral capacity, institutional quality, and human capital. This paper examines Greece as a peripheral EU economy marked by high projected AI gains but significant structural constraints, generating risks of delayed adoption and uneven distributional outcomes. The paper develops a structural conversion framework linking three dimensions: capacity for AI-driven sectoral upgrading; institutional and functional readiness beyond digital infrastructure; and the regeneration and retention of skilled labour. Drawing on micro-level data from the JustReDI survey, the paper constructs composite indices of institutional trust, digital confidence, and digital public service usability, documenting substantial heterogeneity across educational subgroups and regions. The findings reveal a pronounced structural mismatch: service usability rises sharply with educational attainment, yet institutional trust varies only modestly, and digital confidence is performance-driven rather than legitimacy-based. A further tension emerges in Attica, where high institutional trust and technological centrality coexist with comparatively poor user-centric service quality. These results point to a fragmented digital transition marked by persistent social and regional asymmetries, suggesting that inclusive growth through AI adoption in structurally constrained economies requires a policy reorientation - from deployment toward the institutional and functional conversion of technological resources into broad-based development outcomes.

Keywords: Artificial Intelligence; Greek Economy; Digitalization; Human Capital; Brain Drain; Sectoral Transformation (search for similar items in EconPapers)
JEL-codes: J24 O33 O38 O43 R11 (search for similar items in EconPapers)
Date: 2026
New Economics Papers: this item is included in nep-lma
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/338120/1/1965184391.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:zbw:iedlwp:338120

Access Statistics for this paper

More papers in Working Papers from National and Kapodistrian University of Athens, Department of Economics, International Economics and Development Laboratory (IEDL) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().

 
Page updated 2026-04-18
Handle: RePEc:zbw:iedlwp:338120