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AI-Driven Transformation and Job Security: Exploring Fear, Uncertainty, and Organizational Trust

Smitha Kothari Badola

Minnesota Journal of Business Law and Entrepreneurship2026https://doi.org/10.52783/mjble.91article
ABDC B
Weight
0.50

What the paper says

Artificial Intelligence (AI) has emerged as a central force driving organizational revolution across industries. While AI-enabled technologies assure efficiency, innovation, and strategic advantage, they also produce profound concerns related to job security, employee trust, and psychological well-being. This qualitative paper studies how AI-driven changes shapes employees’ perceptions of job security and examines the roles of fear, uncertainty, and organizational trust in influencing employee responses. Drawing on modern literature and interpretive insights, the study conceptualizes job insecurity not just as a structural risk but as a slanted and socially constructed experience. The paper argues that employee reactions to AI are deeply entrenched in emotional responses, identity concerns, ethical perceptions, and trust in organizational intentions. By synthesizing prior research and identifying key gaps, the study contributes a human-centered viewpoint to the dialogue on AI adoption. The findings highlight the importance of transparent communication, participative change processes, ethical governance, and trust-building mechanisms in mitigating fear and fostering sustainable AI-driven transformation.

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Cite this paper

https://doi.org/https://doi.org/10.52783/mjble.91

Or copy a formatted citation

@article{smitha2026,
  title        = {{AI-Driven Transformation and Job Security: Exploring Fear, Uncertainty, and Organizational Trust}},
  author       = {Smitha Kothari Badola},
  journal      = {Minnesota Journal of Business Law and Entrepreneurship},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.52783/mjble.91},
}

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AI-Driven Transformation and Job Security: Exploring Fear, Uncertainty, and Organizational Trust

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.