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Research shows clients want more structure, homework, and between-session tools, which AI offers.

Without sufficient self-awareness, AI's design works against individuals rather than for them.

The AI Awareness Arc gives clinicians tools to assess client AI use and its impact on therapeutic work.

It was 10 minutes before my next podcast interview. My stomach was feeling upset, and my legs were threatening to run away from me.

"I have done podcasts before. Why am I so nervous?" I thought to myself.

Instead of going down that road, I pulled out my phone, opened AI, and explained my problem.

"A part is activating, and I do not seem to be able to help it calm down," I typed, using vernacular from Internal Family Systems, my favorite psychological model for healing from trauma.

Within a second, AI responded with a clear explanation of what was likely happening, walked me through breathing exercises, and offered a dialogue I could have with my parts.

None of which I was remembering in that moment.

This is why the debate about whether AI should be doing therapy is the wrong question. At our fingertips, humans now have access to a tool that has consumed almost the entirety of psychological literature and can translate it into easy-to-understand language, in any language the person speaks.

The question worth asking is not whether people should use it. It is how.

This Is Already Happening

According to a 2026 Kaiser Family Foundation survey, 28 percent of adults aged 18 to 29 have already used AI for information or advice about their mental health, and 16 percent of all adults report the same. These are not people seeking therapy. They are people managing moments: a difficult conversation with a boss, an anxiety spike before something important, a decision they cannot think through alone. They are doing what humans have always done when they need support and the usual options are unavailable or feel too large for the moment at hand.

As someone who has spent almost two years using AI for mental........

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