---
id: "evidence-sciencedirect-depression"
type: "evidence"
source_timestamps: ["Enrichment: Adjacent Literature [8]"]
tags: ["external-evidence", "job-insecurity", "counter-nuance"]
related: ["claim-identity-erosion", "contrarian-humanizing-fails-adoption"]
source_org: "ScienceDirect (indexed study)"
citation: "ScienceDirect-indexed study — AI adoption affects employee depression indirectly through job insecurity rather than directly."
supports: ["claim-identity-erosion"]
validation_role: "nuancing counter-weight"
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-ext-16-dont-treat-agents-like-employees"
sourceUrl: "https://hbr.org/2026/05/research-why-you-shouldnt-treat-ai-agents-like-employees"
sourceTitle: "Research: Why You Shouldn’t Treat AI Agents Like Employees"
---
# AI Adoption → Depression Indirectly via Job Insecurity (ScienceDirect)

**External evidence (enrichment overlay).** A **ScienceDirect-indexed** study indicates that AI adoption affects employee **depression indirectly through job insecurity**, rather than directly.

**How it relates to this vault — an important nuance:** This is a useful **counter-weight** to simplistic 'AI is bad for wellbeing' narratives. It implies that the negative outcomes in [[claim-identity-erosion]] may stem **less from 'AI employee' language itself** and **more from broader deployment practices**, lack of transparency, or displacement fears. In other words, framing is one lever among several; addressing **job insecurity** (via transparency and deliberate role evolution — Step 5 of the [[framework-responsible-human-ai-collaboration]]) may matter as much as avoiding anthropomorphic labels. See also the counter-perspective in [[evidence-apa-ama-augmentation-framing]].