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Large Language Model-Based Artificial Intelligence as a Relational Leader? Effects of Leadership Style and Stress on Artificial Intelligence Leadership

Truvace record
TRV-2026-2574raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
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This study provides an initial investigation into the objective performance, subjective perceptions, and neural correlates of relational leadership behaviors demonstrated by large language model (LLM)-powered artificial intelligence (AI) leaders in the workplace. A 2 × 2 × 2 mixed-design experiment was conducted, with leadership style (relational versus non-relational) and supervisor type (human versus AI) as between-subjects variables, and stress level (high versus low) as a within-subjects variable. Eighty-two…

The gain

In an experiment with 82 university students, an AI supervisor that used relational leadership behaviors improved workplace well-being, self-perceptions and leadership ratings, and most perceptions were similar to those under a human supervisor.

What this doesn’t fix

The authors describe the work as an initial investigation using 82 university students in a simulated automotive inspection task, so the findings come from a small, non-workplace sample.

Sources

1 on file
  1. Journal of Leadership & Organizational Studiesdoi:10.1177/15480518261458468
    Peer-reviewed2026-06-08

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v1

Truvace Impact Record TRV-2026-2574, v1: “Large Language Model-Based Artificial Intelligence as a Relational Leader? Effects of Leadership Style and Stress on Artificial Intelligence Leadership.” Truvace, 2026-11-12. /record/TRV-2026-2574 (accessed on the day you copy it). sha256 a0becb022942e955…

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