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Why Therapy Clients Are Choosing AI Support

A growing number of people with real therapy experience are turning to AI for mental health support — and finding it genuinely helpful. This raises a critical question for mental health professionals: not whether AI should replace therapy, but why so many informed clients are already reaching for it.

The Surprising Poll That Changed the Conversation

During a recent AI for Interactive Journaling workshop, an informal poll of 55 participants with therapy experience revealed a striking result: 49% reported turning to AI for mental health support. These were not people unfamiliar with what professional therapy looks and feels like. They had sat across from licensed therapists. And they were still choosing AI — and benefiting from it.

This challenges a common assumption in the mental health field: that AI emotional support is primarily sought by people who lack access to therapy, cannot afford it, or do not understand the therapeutic process.

What the Research Actually Shows

A 2025 study by Rousmaniere et al. found that 87% of respondents who used AI for mental health support also had direct experience with human therapy. Even more striking, nearly 75% of those respondents said their experience with AI was equal to or better than their experience with a human therapist.

This data does not suggest AI is superior to therapy. Rather, it raises an important question: if experienced therapy clients are supplementing or replacing their sessions with AI interactions, what does that tell us about unmet needs in traditional mental health care?

The Need for Immediate, Actionable Help

One possible explanation is that traditional therapy is not always designed for the kind of rapid, practical problem-solving that many people need in daily life. AI excels at breaking down a problem quickly, identifying core issues, and offering direct, actionable responses — a style that many graduate-level therapy programs have historically de-emphasized in favor of open-ended, exploratory approaches.

When someone is caught in an anxiety spiral at 3 a.m., or trying to understand why they feel stuck at work on a Tuesday afternoon, they may not need a 50-minute reflective session. They may need a clear, immediate answer — and AI can deliver that.

AI Is Not “Therapy-Lite” — It’s a Different Tool

Some therapists dismiss AI-based emotional support as “therapy-lite,” suggesting that users are settling for something less effective. This framing misses the point entirely. AI is not attempting to replicate the depth of a therapeutic relationship. It is a different tool designed for a different job.

Using AI to manage a moment of emotional dysregulation, organize thoughts before a difficult conversation, or work through a practical problem is not inferior therapy — it is a complementary resource. The goal of mental health support, in any form, is relief, clarity, and forward movement. When AI achieves that, it has done its job.

The Risk of Creating Distance Between Therapists and Clients

Therapists who have not personally explored AI tools will find it increasingly difficult to speak meaningfully with clients who are already using them. If AI becomes a subject that cannot be raised safely within a session, clients will simply stop mentioning it — and a significant part of their emotional lives will remain hidden from the therapeutic relationship.

Judging the technology rather than approaching it with curiosity risks creating the very shame and disconnection that therapy is meant to dissolve. Mental health professionals have long emphasized the importance of meeting clients where they are. Today, many clients are finding relief through a screen — and that deserves honest, open exploration rather than dismissal.

Meeting Clients Where They Are

The conversation about AI and mental health is not really about technology. It is about understanding what people genuinely need and being willing to adapt. If experienced therapy clients are turning to AI for support, the field has an opportunity — and a responsibility — to ask why, and to integrate that understanding into how care is delivered.

Therapy has always evolved alongside the tools and contexts of its time. AI is simply the next frontier worth understanding.

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