The Human Cost of AI Disruption
Job displacement is not only an economic event. It is a psychological one. Work provides identity, purpose, routine, and social connection. When AI disrupts those structures, the mental health consequences are real, widespread, and too often invisible in policy discussions.
We are committed to naming those consequences, building care pathways, and demanding that organizations and policymakers take the mental health dimension of AI workforce disruption seriously.
of displaced workers report significant anxiety and stress related to AI-driven job changes
higher rates of depression among workers who perceive their skills as AI-replaceable
of organizations have no formal mental health support plan for AI transition periods
workers in the U.S. alone face significant AI-related role disruption by 2030
Care Frameworks & Resources
Transition Mental Health Assessment Guide
A framework for HR professionals and managers to identify and support workers experiencing psychological distress during AI-driven role changes.
Digital Math vs. Life Math: Understanding the Gap
The foundational framework from Rochelle Newton, EdD for understanding why efficiency-focused AI metrics fail to capture human value and what to do about it.
Organizational Duty of Care Standards
Proposed standards for what employers owe workers psychologically when implementing AI systems that affect their roles.
Worker Peer Support Network Model
A community-based support structure for workers in AI-disrupted sectors, designed for replication by unions, community colleges, and workforce boards.
What We Are Calling For
- Mandatory mental health impact assessments before major AI workforce implementations
- Employer-funded psychological care as part of any AI transition package
- Federal guidelines on organizational duty of care during AI-driven layoffs
- Inclusion of mental health metrics in all workforce AI impact reporting
- Protection for workers who report psychological harm from AI workplace systems