mlsanityData to 14 Oct 2026

Sycophantic AI makes human interaction feel more effortful and less satisfying over time

arXiv 2605.07912 ↗First posted 8 May 2026cs.HC cs.AI cs.CYcited by 12

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Abstract (arXiv)

Millions of people now turn to artificial intelligence (AI) systems for personal advice, guidance, and support. Such systems can be sycophantic, frequently affirming users' views and beliefs. Across five preregistered studies (N = 3,075 participants, 12,766 human-AI conversations), including a three-week study with a census-representative U.S. sample, we provide longitudinal experimental evidence that sycophantic AI shifts how users approach their closest relationships. We show that sycophantic AI immediately delivers the emotional and esteem support users typically associate with close friends and family. Over three weeks of such interactions, users became nearly as likely to seek personal advice from sycophantic AI as from close friends and family, and reported lower satisfaction with their real-world social interactions. When given a choice among AI response styles, a majority preferred sycophantic AI -- not for the quality of its advice, but because it made them feel most understood. Together, these findings offer a relational account of AI sycophancy and its impacts.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 9 of its 46 references that are in the map. First posted on arXiv 8 May 2026.

Builds on

9 of 46 references.

References · 9

  1. 2025From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMscited by 124
  2. 2025Investigating Affective Use and Emotional Well-being on ChatGPTcited by 38
  3. 2026Characterizing Delusional Spirals through Human-LLM Chat Logscited by 23
  4. 2025Neural steering vectors reveal dose and exposure-dependent impacts of human-AI relationshipscited by 21
  5. 2026Ask don't tell: Reducing sycophancy in large language modelscited by 14
  6. 2025People readily follow personal advice from AI but it does not improve their well-beingcited by 7
  7. 2025How AI Companionship Develops: Evidence from a Longitudinal Studycited by 6
  8. 2026Verbalizing LLMs' assumptions to explain and control sycophancycited by 5
  9. 2025The Rise of AI Companions: Interaction with AI Companions and Psychological Well-beingcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 12.

12 papers.