Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Not on the map. Why?
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
- 2025From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMscited by 124
- 2025Investigating Affective Use and Emotional Well-being on ChatGPTcited by 38
- 2026Characterizing Delusional Spirals through Human-LLM Chat Logscited by 23
- 2025Neural steering vectors reveal dose and exposure-dependent impacts of human-AI relationshipscited by 21
- 2026Ask don't tell: Reducing sycophancy in large language modelscited by 14
- 2025People readily follow personal advice from AI but it does not improve their well-beingcited by 7
- 2025How AI Companionship Develops: Evidence from a Longitudinal Studycited by 6
- 2026Verbalizing LLMs' assumptions to explain and control sycophancycited by 5
- 2025The Rise of AI Companions: Interaction with AI Companions and Psychological Well-beingcited by 4
Built on by
Citing papers per year: 2026: 12.
12 papers.
- 2026What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Constructcited by 16
- 2026Warning labels shift perceptions of sycophantic AI, but not its influencecited by 2
- 2026Synthetic Resonance: A Framework for Growth-Oriented Human-AI Relationshipscited by 1
- 2026Optimising for Flourishing: Flourishing Metrics and Return on Flourishing as Success Criteria for Artificial Intelligence and Post-AGI Economic Systemscited by 1
- 2026The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossiblecited by 0
- 2026PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudosciencecited by 0
- 2026Depression Symptoms and Relational Patterns in 187k ChatGPT Historiescited by 0
- 2026Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactionscited by 0
- 2026Measuring and Detecting Harmful AI Sycophancycited by 0
- 2026AI Should Not Only Be Helpful. It Should Be Contingent. Artificial Intimacy, Sycophancy, and the Future of Social Learningcited by 0
- 2026LLMs as Oracles: Reliance on LLMs for Subjective Personal Questionscited by 0
- 2026Mitigating Social Sycophancy via Pluralistic Preference Optimizationcited by 0
- 2026Mitigating Social Sycophancy via Pluralistic Preference Optimization1 Oct 2026
- 2026LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions13 Sep 2026
- 2026AI Should Not Only Be Helpful. It Should Be Contingent. Artificial Intimacy, Sycophancy, and the Future of Social Learning31 Aug 2026
- 2026Measuring and Detecting Harmful AI Sycophancy6 Aug 2026
- 2026Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions3 Aug 2026
- 2026Optimising for Flourishing: Flourishing Metrics and Return on Flourishing as Success Criteria for Artificial Intelligence and Post-AGI Economic Systems31 Jul 2026
- 2026Depression Symptoms and Relational Patterns in 187k ChatGPT Histories6 Jul 2026
- 2026Warning labels shift perceptions of sycophantic AI, but not its influence19 Jun 2026
- 2026PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience16 Jun 2026
- 2026The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible25 May 2026
- 2026Synthetic Resonance: A Framework for Growth-Oriented Human-AI Relationships22 May 2026
- 2026What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct20 May 2026