Economic Impact Analysis: Cost-Benefit Assessment of AI-Driven Mental Health Support Systems in Public Education
Abstract
This article examines the financial implications and economic benefits of implementing AI-driven mental health support systems in public schools. As student mental health challenges continue to rise, traditional support mechanisms often fall short due to resource constraints and high costs. This study explores how AI technologies can bridge these gaps, offering early detection, counseling, and intervention capabilities that contribute to a more comprehensive mental health strategy. Key findings indicate that AI integration can substantially reduce costs related to crisis intervention. Also, AI-driven support enhances academic performance, contributing to higher graduation rates and improved long-term economic prospects. These systems also contribute to broader societal costs associated with untreated mental health issues, such as unemployment and healthcare burdens. By strategically investing in AI solutions, policymakers can ensure immediate educational benefits with an enduring societal and economic growth, effectively creating the need for regulatory frameworks that address data security and ethical concerns.
Keywords
AI mental health, public education, financial implications, crisis intervention, academic performance, societal benefits, early intervention, data security.
Citations
IRE Journals:
Akinboyejo Asimolowo
"Economic Impact Analysis: Cost-Benefit Assessment of AI-Driven Mental Health Support Systems in Public Education" Iconic Research And Engineering Journals Volume 8 Issue 7 2025 Page 206-216
IEEE:
Akinboyejo Asimolowo
"Economic Impact Analysis: Cost-Benefit Assessment of AI-Driven Mental Health Support Systems in Public Education" Iconic Research And Engineering Journals, 8(7)
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