If you're a therapist, you may have noticed something: clients are arriving with different patterns than they did three years ago. Some process their emotions with AI before sessions, arriving with pre-analyzed insights rather than raw material. Others have replaced therapy with AI entirely, only returning when the chatbot can't handle their situation.
What therapists are observing
Clinicians report several emerging patterns: clients who compare their therapist unfavorably to AI, reduced tolerance for the slower pace of therapeutic work, difficulty with the ambiguity that therapy requires, and increased cognitive dependency that manifests as inability to process thoughts without external input. Some clients use AI to rehearse therapy sessions, presenting curated versions of their issues rather than authentic ones.
The therapeutic alliance at risk
The therapeutic relationship — widely regarded as one of the most important factors in therapy outcomes — may be undermined when clients have a competing "relationship" with AI. Why tolerate the discomfort of genuine therapeutic challenge when AI offers unlimited validation? This competition for the client's emotional investment is new and significant.
AI as complement vs. competitor
Used well, AI can complement therapy: helping clients journal between sessions, practice skills, or process minor daily stressors. Used poorly, AI competes with therapy: providing a lower-effort alternative that feels similar but lacks the transformative potential of genuine therapeutic work. Helping clients distinguish between these uses is becoming a clinical skill.
Adapting clinical practice
Forward-thinking clinicians are integrating AI awareness into their practice: asking about AI use in intake assessments, discussing how AI may be affecting the client's thought patterns, and helping clients develop a healthy relationship with these tools. Rather than competing with AI, the most effective approach is helping clients understand what AI can and cannot provide.
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