GLOBAL AI CLUSTERS: STRUCTURAL PATTERNS IN SKILLS, TALENT, AND ENTREPRENEURSHIP

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Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi
Cilt: 47 Sayı: 3
GLOBAL AI CLUSTERS: STRUCTURAL PATTERNS IN SKILLS, TALENT, AND ENTREPRENEURSHIP

GLOBAL AI CLUSTERS: STRUCTURAL PATTERNS IN SKILLS, TALENT, AND ENTREPRENEURSHIP

Pages : 457-479

View : 57 | Download : 248

Publication Date : 2025-12-28

Article Type : Research Paper

Abstract :Artificial intelligence (AI) acts as a strategic catalyst for digital transformation, fostering innovation and redefining labor market dynamics. However, empirical studies that quantitatively compare and classify the extent and nature of cross-country differences in AI talent capacities remain limited. This study aims to address the existing gap in the literature by analyzing the presence of significant clusters among countries based on five strategic AI-related indicators: Hiring, Skill Penetration, Talent Concentration, Talent Migration, and Newly Funded AI Companies. Using 2024 data from 47 countries, a K-means clustering analysis was performed, with the optimal number of clusters identified as four through the elbow method. The results reveal significant structural and multidimensional divergences in AI capacity across countries. Based on the K-means clustering analysis, nations were categorized into four distinct clusters according to the five core AI indicators. The findings indicate that cross-country differences are influenced not only by individual indicators but also by the balance and overall structure among these indicators. The study also offers policy recommendations to support the AI-related development of countries. This research represents one of the few empirical studies that comparatively analyze the multidimensional positioning of countries in AI, providing policymakers with a vital reference point for prioritization and strategic planning.
Keywords : Yapay Zekâ, K-ortalama Kümeleme, Ülkeler Arası Karşılaştırma

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