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A 298-worker study in China finds AI awareness pulls colleagues together and apart

Study title: Affiliation or alienation? How does AI awareness affect employees’ interaction with co-workers

Evidence type
Survey
Sample
n = 298
Sources
1 sourcePeer-reviewed
Published
2 min read
Truvace record
TRV-2026-2524cite or check it

Study title: Affiliation or alienation? How does AI awareness affect employees’ interaction with co-workers

A longitudinal study tracked 298 employees in China across three waves of data collection to see how awareness of AI shapes the way they treat colleagues. It found two opposing routes to helping behaviour: AI awareness raised the need for affiliation, which promoted helping, and it also worked through alienation, which reduced helping.

Read the study abstract

Purpose The purpose of this study is to address this research gap by shifting attention from the individual consequences of AI awareness to its interpersonal implications. While workplaces value interactions between co-workers, research on artificial intelligence (AI) awareness has focused on its impact on employees themselves, to the detriment of its impact on interactions among colleagues. Through a longitudinal tracking study and based on social information processing (SIP) theory and the social affiliation l…

52Gain side

How the two sides scoreClose call

51Problem side

The gain

In a three-wave study of 298 employees in China, greater AI awareness increased workers' need for affiliation with colleagues, which in turn promoted helping behaviour.

The problem

In the same study of 298 employees in China, AI awareness also reduced helping behaviour through a second pathway, workers' sense of alienation from colleagues.

A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.

What the scores mean

G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.

P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.

In brief

Most earlier research on AI awareness looked at what it does to employees themselves. This study shifts attention to relationships between co-workers, using social information processing theory and the social affiliation literature to explain the pattern.

Workers who depended more on AI showed stronger links between AI awareness and both the need for affiliation and alienation. The findings come from one sample in China, so how far they apply elsewhere is not established.

Main points

  1. The study used three waves of data from 298 participants in China.
  2. AI awareness increased employees' need for affiliation with colleagues.
  3. AI awareness promoted helping behaviour through the need for affiliation.
  4. AI awareness reduced helping behaviour through alienation.
  5. Higher AI dependence strengthened the links between AI awareness and both affiliation and alienation.
  6. The authors advise organisations to improve employees' positive perceptions of AI and to strengthen affiliation needs while reducing alienation.

The full story

The research was designed as a longitudinal tracking study, with the theoretical model tested on three waves of data from 298 participants in China. It draws on social information processing theory and the social affiliation literature to explain how awareness of AI shapes attitudes and behaviour toward colleagues.

Two mechanisms run in opposite directions. Through the need for affiliation, AI awareness promotes helping behaviour; through alienation, it reduces helping behaviour. Employees' level of AI dependence strengthened the relationships between AI awareness and both the need for affiliation and alienation.

For employers, the authors recommend improving employees' positive perceptions of AI and attending to their experiences of using AI in daily communication. They also recommend strengthening the need for affiliation and reducing feelings of alienation.

What this doesn’t fix

The model was tested on three waves of data from 298 participants in China, so the findings reflect a single national sample.

Sources

1 on file
  1. Chinese Management Studiesdoi:10.1108/cms-06-2025-0621
    Peer-reviewed2026-09-09

Talk it over

Four questions to start onThis record found a gain and a problem in the same place. Which matters more to you, and who might answer differently?

Start with a question

A 298-worker study in China finds AI awareness pulls colleagues together and aparthttps://truvace.com/item/affiliation-or-alienation-how-does-ai-awareness-affect-employees-interaction-wit

  1. This record found a gain and a problem in the same place. Which matters more to you, and who might answer differently?

    The gain In a three-wave study of 298 employees in China, greater AI awareness increased workers' need for affiliation with colleagues, which in turn promoted helping behaviour.

    The problem In the same study of 298 employees in China, AI awareness also reduced helping behaviour through a second pathway, workers' sense of alienation from colleagues.

    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 survey with a sample of 298, from Chinese Management 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 model was tested on three waves of data from 298 participants in China, so the findings reflect a single national 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.

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