AI in Mental Health & Therapy Statistics (2026): Key Data & Trends

Methodology and sources

Every statistic on this page was verified against the organization that originally published it, and we excluded unsourced or vendor-inflated figures. Because this is a sensitive health topic, we prioritized peer-reviewed studies, government data, and major professional and policy bodies. Primary sources include KFF (Tracking Poll on Health Information and Trust), JAMA Network Open (Mehrotra et al.), NEJM AI / Dartmouth (Heinz et al., the Therabot RCT), Rousmaniere et al. (Practice Innovations), SAMHSA (2024 National Survey on Drug Use and Health), HRSA, the American Psychological Association, the U.S. Federal Trade Commission, and the State of Illinois (Wellness and Oversight for Psychological Resources Act). Clinical findings are reported with the caveats stated by their authors, and nothing here is medical advice.

Keep care human — automate the front desk

The clearest signal in the data is that AI belongs in mental health on the operations side, not in the therapy room. With clinicians scarce and demand overwhelming, the practices that thrive will be the ones that free their people from routine phone work and keep every clinical conversation human. See how Brilo AI handles scheduling, intake, and after-hours calls for healthcare and behavioral health practices — routing anything clinical to your team — so your staff can focus on care.