Infrastructure and Investment Needs for AI Implementation in Education

Abstract

This chapter explores the critical infrastructure and investment frameworks required for successfully integrating artificial intelligence (AI) in educational settings. This chapter explores the investment patterns and financial considerations essential for establishing the physical, human, and technological infrastructure across various educational levels. The analysis reveals notable infrastructure gaps and identifies the investment needed to support digital education through AI. Key areas discussed include the scalability of AI solutions, personnel training requirements, technological readiness, and long-term funding needs. Additionally, the chapter highlights disparities in infrastructural preparedness between urban and rural schools and across developed and developing countries. To promote equitable access and sustainable AI adoption, this chapter offers evidence-based recommendations for investors, educational administrators, and policymakers on optimizing resource allocation.