Akademik Veri Yönetim Sistemi
Journal of the Knowledge Economy, 2026 (Scopus)
The rapid advancement of artificial intelligence has prompted significant changes in various sectors, including education. This transformation has led to evolving educational investment as institutions increasingly integrate artificial intelligence (AI) technologies into their teaching and administrative processes. This study examines the asymmetric impact of artificial intelligence on educational expenditures across ten selected nations with advanced AI implementation (USA, China, South Korea, Japan, Germany, UK, Canada, Israel, Singapore, and Sweden). Employing the Quantile-on-Quantile method, the analysis surpasses traditional techniques that may ignore country-specific nuances in panel data research. This approach enables the examination of relationships between variables for each nation individually, thereby improving the accuracy of the findings and providing a valuable understanding of each country’s distinctive characteristics. The results demonstrate that artificial intelligence plays a pivotal role in boosting educational expenditures across most examined countries, each exhibiting distinct trends. These findings underscore the urgent need for policymakers to conduct comprehensive evaluations and develop targeted strategies to navigate the complex relationship between AI and educational investment. By doing so, they can make evidence-based, strategically tailored decisions that address the unique needs of each country.