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TRUVACE RECORD VERSION
record: TRV-2026-2538
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T07:50:25.709746Z
status: published
lens: p_space
sector: labor
headline: AI Usage in Interpersonal Helping Comes at a Cost: Understanding Its Negative Effect on Gratitude and Reciprocation in the Workplace
dek: As the use of artificial intelligence (AI) in interpersonal helping among coworkers grows, its impact on recipients remains underexplored. This research examines how varying levels of AI usage in interpersonal helping (AUIH) impact recipients' reciprocation, alongside the underlying mechanisms and boundary conditions. Through a scenario-based experiment (Study 1, N = 300) and a critical incident technique (Study 2, N = 345), both studies demonstrate that higher levels of AUIH are associated with lower perception…
gain_title: (none)
problem_title: In two studies (a 300-person scenario experiment and a 345-person incident survey), colleagues who received help that relied more on AI saw the helper as less effortful and less well-meaning, felt less gratitude and were less likely to return the favour.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: In two studies (a 300-person scenario experiment and a 345-person incident survey), colleagues who received help that relied more on AI saw the helper as less effortful and less well-meaning, felt less gratitude and were less likely to return the favour.
problem_evidence: diminished feelings of gratitude and reduced reciprocation
quick_read: Two studies on workplace helping found that the more a coworker used AI to help a colleague, the less the person receiving help valued it. Across a scenario-based experiment with 300 participants and a critical incident study with 345 participants, higher AI use in helping was linked to lower perceived effort and lower perceived benevolent intention from the helper.

Those weaker perceptions were in turn related to less gratitude and reduced reciprocation, meaning recipients were less inclined to return the favour. The findings matter for workplaces where AI tools are increasingly used to assist coworkers, because help that costs the helper less effort may earn less goodwill.

Recipients' own attitudes toward AI changed the picture. Recipients with greater AI skill showed a stronger negative link between AI use and perceived effort, while those with greater trust in AI showed a weaker negative effect on perceived benevolent intention.
limitation: The findings rest on a scenario-based experiment and recalled critical incidents, and they describe associations between AI use, perceptions and reciprocation rather than direct measures of workplace behaviour over time.
tag: Evidence-backed problem
key_points: Study 1 was a scenario-based experiment with 300 participants. | Study 2 used the critical incident technique with 345 participants. | Higher AI use in helping was associated with lower perceived helper effort and lower perceived benevolent intention. | Lower perceived effort and intention were related to diminished gratitude and reduced reciprocation. | Recipients' AI skill amplified the negative link between AI use and perceived effort. | Recipients' AI trust reduced the negative effect of AI use on perceived benevolent intention.
rundown: The research examines AI usage in interpersonal helping among coworkers, a practice that is growing while its effects on the people receiving help remain underexplored. It tests how different levels of AI use affect recipients' reciprocation, along with the mechanisms and boundary conditions behind the effect.

The two designs point the same way. In the 300-person scenario experiment and the 345-person critical incident study, greater AI involvement in help went with lower perceived effort and benevolent intention, which in turn went with less gratitude and less reciprocation.

Two moderators shaped the results. Recipients' AI skill strengthened the negative relationship between AI use and perceived effort, while recipients' AI trust softened the harm to perceived benevolent intention. The authors say the findings offer practical insights for managing AI use among coworkers.
sources:
- peer_reviewed | International Journal of Human–Computer Interaction | https://doi.org/10.1080/10447318.2026.2708474 | 2026-08-05
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