Literature Review

Psychological Safety and Training Outcomes During AI Adoption

Meagan V. AngelucciCapella University, MS Industrial-Organizational Psychology2025

ABSTRACT

This literature review synthesizes 12 peer-reviewed sources and industry data to examine how AI adoption affects psychological safety and training outcomes. Drawing on Conservation of Resources Theory and Social Information Processing Theory, the review identifies psychological safety as a mediator explaining how AI adoption can lead to depression, burnout, and reduced engagement.

The review addresses an urgent gap: as organizations accelerate AI integration, HR and I-O psychology professionals need to understand how technological change affects employees and identify interventions that support successful transitions. When employees feel psychologically safe, they engage in the learning behaviors needed to adapt; when AI adoption threatens that safety, performance deteriorates.

Three evidence-based tools are evaluated: psychological safety climate assessment systems, leadership behavior intervention programs, and integrated AI-readiness training programs. Leadership behaviors — particularly ethical and coaching leadership — emerge as the strongest moderators of the AI-PS relationship.

KEY FINDINGS

What the research shows.

Psychological safety mediates the relationship between AI adoption and employee outcomes including depression, burnout, and reduced engagement

Ethical and coaching leadership behaviors moderate the AI adoption–psychological safety relationship — leadership is the key lever

Three evidence-based tools demonstrate efficacy: PS climate assessment, leadership behavior interventions, and integrated AI-readiness training

Pre-implementation PS assessment, staged training with psychological foundations, and continuous monitoring are recommended for AI transitions

METHODOLOGY

How this research was conducted.

Systematic literature review of 12 peer-reviewed sources plus industry data

Conservation of Resources Theory and Social Information Processing Theory frameworks

Multi-level analysis: individual, team, and organizational outcomes

Evidence-based tool evaluation across three intervention categories

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