Your client has already spent two hours talking to ChatGPT about their anxiety. Here is how to handle the informed — and the misinformed — AI client in the therapy room.
Key Takeaway
Clients arriving with AI-generated insights present both an opportunity and a clinical risk. The therapist’s role is to validate useful information, correct misconceptions, and restore the therapeutic relationship as the primary site of change [1].
The Pre-Attuned Client
da Silva Santos and colleagues (2026) identified an “engagement-validation loop” where users form an attachment to AI responses [1]. Clients may arrive with a self-diagnosis and expectations shaped by their AI interactions.
What AI Gets Right
LLMs can provide accurate psychoeducation. Kuang and colleagues (2026) found psychotherapists viewed AI as a useful triage tool [3]. Affirm what is correct without ceding clinical authority.
What AI Gets Wrong
Sawesi and colleagues (2026) identified significant privacy risks in generative AI chatbots [2]. AI is prone to sycophancy and cannot challenge unhelpful thinking [1].
Practical Strategies
Invite sharing, validate and correct, discuss privacy, and re-centre the therapeutic relationship. No algorithm has replicated the therapeutic alliance [1, 3].
References
- da Silva Santos, B., Roza, T. H., & Passos, I. C. (2026). The engagement-validation loop. Journal of Affective Disorders, 314, 122123. DOI: 10.1016/j.jad.2026.122123
- Sawesi, S., Sabbineni, H., & Shagamreddy, R. R. (2026). Cybersecurity and Privacy Risks of Generative AI Mental-Health Chatbots. Journal of Multidisciplinary Healthcare, 19, 1123–1141. DOI: 10.2147/JMDH.S581251
- Kuang, J., Pope, A. L., & Zhang, Y. (2026). Psychotherapists’ Trust, Distrust, and Generative AI Practices. Journal of Medical Internet Research, 28, e88932. DOI: 10.2196/88932