64/100

Moderate evidence

In an 82-student experiment, AI supervisors that acted warmly matched human bosses on most ratings

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

Evidence type
Controlled or validated comparison
Sample
n = 82
Sources
1 sourcePeer-reviewed
Published
2 min read

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

Researchers ran an experiment in which 82 university students performed simulated automotive parts inspections under either a human or an AI supervisor. The AI supervisors were powered by a large language model and behaved in either a relational or a non-relational way.

Read the study abstract

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…

Large Language Model-Based Artificial Intelligence as a Relational Leader? Effects of Leadership Style and Stress on Artificial Intelligence Leadership
"Construction workers at a site on Södra Hamngatan, Gothenburg" by W.carter, CC BY-SA 4.0.

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.

In brief

The study reports that the AI supervisors could convincingly simulate relational leadership, and that this style improved well-being, self-perceptions and leadership evaluations. Most subjective ratings were similar for human and AI supervisors, though a few measures favored human leaders.

High stress worsened participants' subjective perceptions, but relational leadership buffered those effects. Brain scans showed prefrontal activity linked to AI leadership, relational behavior and stress. The authors call this initial evidence and stress careful design to promote well-being.

Main points

  1. The experiment used a 2 × 2 × 2 mixed design: leadership style (relational or non-relational) and supervisor type (human or AI) varied between participants, and stress level (high or low) varied within participants.
  2. Eighty-two university students performed simulated automotive parts inspections under human or AI supervision.
  3. Relational AI leaders enhanced workplace well-being, self-perceptions and leadership evaluations.
  4. Most subjective perceptions were similar under human and AI supervision, with a few measures favoring human leaders.
  5. High stress negatively affected subjective perceptions, but relational leadership helped buffer the effect.
  6. Functional near-infrared spectroscopy measured prefrontal cortex activity in areas tied to task switching and emotional regulation.

The full story

The study tested whether a large language model could act as a relational leader in a workplace-style task. Participants inspected automotive parts in a simulation while supervised by either a human or an AI, using a relational or non-relational leadership style.

Stress was manipulated within participants, so each person experienced both high and low stress conditions. High stress lowered subjective perceptions, but relational leadership softened that drop.

Prefrontal cortex activity, recorded with fNIRS, was linked to AI leadership, relational behavior and stress levels, in regions associated with task switching and emotional regulation. The authors say the findings offer initial empirical evidence for LLMs as relational leaders and argue for deliberate design to protect well-being.

Sources

1 on file
  1. Peer-reviewed2026-06-08

Talk it over

Four questions to start on
Who gets this benefit, and who was left out of the study or story?

Start with a question

In an 82-student experiment, AI supervisors that acted warmly matched human bosses on most ratingshttps://truvace.com/item/large-language-model-based-artificial-intelligence-as-a-relational-leader-effect

  1. Who gets this benefit, and who was left out of the study or story?

    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.

    Answer in the thread
  2. How do we know? What can this kind of evidence show, and what can’t it?

    The evidence This rests on a controlled comparison with a sample of 82, from Journal of Leadership & Organizational Studies.

    Answer in the thread
  3. What does it leave open? What else would you want to know before acting on it?

    The record’s own caveat 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.

    Answer in the thread
  4. Have you seen AI used this way where you study, work or live? Did it go the same way?

    Answer in the thread

The questions are the same on every record. The details under them are taken from this record as written.

What readers say