School-Based Mental Health Nursing in the Early AI Economy: Implications for Youth Mental Health and Substance Use
Year: 2026
Type: article
Abstract: Rapid innovation-driven transitions have, across successive eras, been associated with increased psychological distress, substance use, and suicide when social and economic change outpaces the adaptive capacity of individuals, communities, institutions, and governments. The early artificial intelligence (AI) economy is emerging at an unprecedented pace, reshaping education, employment, and social organization in ways that may intensify these risks, particularly among young people. This perspective argues that school-based mental health nursing, working collaboratively with school psychologists, counsellors, physicians, and other interdisciplinary professionals, represents a practical upstream response to AI-era disruption. Drawing on historical evidence from the Industrial Revolution, population mental health research, and the contemporary mental health nursing literature, the paper examines the mechanisms through which rapid socio-economic change may contribute to psychological distress and substance-use problems. It further distinguishes AI as both a source of socio-economic disruption and a clinical tool that can support—but not replace—relationship-based nursing practice. Strengthening school-based mental health nursing within interdisciplinary systems offers a practical, prevention-oriented strategy to promote resilience, facilitate early intervention, and mitigate downstream mental health and substance-use harms during the AI transition.
Source: Psychiatry International
Author: Ehsan Jozaghi
Language: English
Subfield: Speech and Hearing
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,207
OpenAlex ID: W7203921178