People offload empathy when they think AI can give it instead
Four online studies with US adults testing 'empathy offloading': whether people give less empathy to someone in distress when they believe AI can provide emotional support instead. Studies 1 and 2 link perceived ChatGPT empathic capacity to self-reported willingness to offload, correlationally and by manipulating exposure to news about empathic AI. Studies 3 and 4 tell participants that a distressed acquaintance or student has sought support from ChatGPT, a person, friends or a therapist, and measure question-asking, emotion-reading effort and empathic word selection.
Publisher
Computers in Human Behavior (Elsevier)
Published
28 Oct 2026
Added
today
Key Findings
- Study 1 (n = 249): perceiving ChatGPT as capable of empathy predicted willingness to offload empathy to it (b = 0.44, SE = 0.05, t(247) = 9.64, p < .001); mean perceived capacity was 3.24 on a 7-point scale
- Study 3 (n = 743): after learning an acquaintance had gone to ChatGPT for emotional support, participants asked fewer questions about how to help (M = 0.70 vs 0.98 with no prior support) and scored lower on an emotion-reading task (M = 7.13 vs 7.73 correct, p = .012), while explicit ratings of personal responsibility did not differ (F(2, 740) = 1.32, p = .27)
- Study 4 (n = 737, exploratory after a lost preregistration): when a real student was described as getting empathy from an AI chat platform, participants selected the fewest empathy words (M = 18.68 vs 21.84 for friends) and the most indifference words (M = 2.39 vs 0.90 for friends) of all conditions
- Participants rated the student who turned to AI as more weird, antisocial and desperate than when the student turned to friends or a therapist; the authors suggest such users may receive less human empathy because of how they sought support
Methodology Notes
US adults recruited on CloudResearch Connect; Studies 1-3 preregistered, Study 4 treated as exploratory because its preregistration was overwritten. Vignette-based and quasi-behavioural measures (question writing, Reading the Mind in the Eyes Test, weighted word-cloud selection); no real support interactions. The Study 4 AI condition alone cited 'a recent research paper from Harvard' (Zao-Sanders, 2025) on therapy and companionship as top AI uses, an asymmetry the authors acknowledge. Total n about 2,223 across four studies (249; 494; 743; 737). Published online 28 October 2026 in Computers in Human Behavior vol. 187 (February 2027 issue), open access under CC BY 4.0. The journal abstract (read via OpenAlex) carries no figures; ScienceDirect full text was not reachable (captcha), so the figures come from the authors' preprint (PsyArXiv bsj9f, version 3 posted 23 October 2026, whose manuscript title matches the journal title). Data, code and preregistrations on OSF.
Sources
Computers in Human Behavior (DOI)(opens in a new tab) (primary)
PsyArXiv preprint (v3, 2026-10-23)(opens in a new tab) (23 Oct 2026)
Preprint DOI v3(opens in a new tab)
Archived snapshot (Wayback Machine)(opens in a new tab) — preserved against link rot
Authors
Madhulika Shastry, Kurt J. Gray
Tags
Cite This
APA
Madhulika Shastry, Kurt J. Gray. (2026). People offload empathy when they think AI can give it instead. Computers in Human Behavior (Elsevier). https://doi.org/10.1016/j.chb.2026.109240