ai
Understanding AI Anxiety in the Workplace: A Multimethod Investigation Using Fear Acquisition Theory and the Technology Acceptance Model
- Source
- arXiv — Computers and Society
- Published
- Last verified
- 18 Aug 2026
- Confidence
- Moderate
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Research & Evidence, Technology & Data
- Topics
- airesearchtechnology
Executive summary
What happened, and why should leadership care?
Research drawing on Integrated Fear Acquisition Theory and the Technology Acceptance Model investigates the psychological mechanisms behind AI job replacement anxiety. The study explores whether anxiety can be generated through indirect exposure to narratives emphasizing AI control over humans and how perceived usefulness and ease of use of AI might influence this response. It posits that anxiety emerges from vicarious exposure rather than direct personal experience.
Why this matters
Why is this strategically important?
Understanding the psychological mechanisms of AI anxiety is critical for managing workforce transitions and ensuring successful AI integration. Insights into how vicarious exposure influences anxiety can inform strategies for communication and training, mitigating resistance and fostering constructive engagement with AI technologies.
Key insights
What should be noted from the evidence?
- The research aims to understand the psychological mechanisms of AI job replacement anxiety.
- It investigates whether AI job replacement anxiety can be elicited through vicarious exposure to narratives emphasizing AI-over-human control.
- The study considers the moderating roles of perceived usefulness and perceived ease of use of AI.
- The core hypothesis is that anxiety regarding AI job replacement stems from indirect exposure to narratives, not necessarily direct personal experience.
Evidence and confidence
How far can this assessment be trusted?
Moderate confidence. Provenance established; supporting evidence remains partial.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication