Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/329432 
Year of Publication: 
2025
Citation: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 13 [Issue:] 6 [Article No.:] 152 [Year:] 2025 [Pages:] 1-22
Publisher: 
MDPI, Basel
Abstract: 
The global shift toward digital transformation presents both opportunities and challenges for national economies, particularly in terms of workforce readiness. While many studies assess digital readiness via infrastructure or technological adoption, fewer investigate the preparedness of countries’ future labor forces. This article addresses this research gap by examining how quality of education relates to job automation risk across OECD countries. The goal is to identify which nations are least prepared for digital disruption due to weak educational foundations and high automation exposure. Using data on education expenditure, PISA scores, and the Education Index, compared to the percentage of jobs at high risk of automation, this study applies correlational analysis and a quadrant overview to assess national readiness. Findings show that countries such as Slovakia, Poland, and Greece are least prepared, combining low investment in education and high exposure to automation. Conversely, nations like Finland, Norway, Sweden, and New Zealand exhibit strong readiness, characterized by robust education systems and lower automation risks. This study contributes to the literature by integrating automation vulnerability into national readiness assessments and offers actionable insights for policymakers focused on education reform and workforce development.
Subjects: 
digitalization
job automation
education
technological change
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.