Is AI the Future of Therapy? — Talkspace

The Rise of AI for Mental Health

How AI Is Currently Being Used for Mental Health

• Making it easier to get timely mental health support
• Improving how mental health issues are identified and diagnosed
• Offering more affordable therapy options
• Developing personalized patient care plans
• Helping people better understand their mental health

Mental health chatbots 

Chatbots interact with you using natural language processing (NLP) and machine learning technology. NLP helps the chatbot understand and generate human-sounding language. Machine learning technology helps chatbots identify patterns to learn and adapt their responses over time. As AI technology has improved, it’s become increasingly difficult to tell the difference between humans and AI in some chatbots.

Symptom monitoring, journaling, and mood trackers

Symptom monitoring

AI-powered symptom monitoring — including mood tracking and wearables — can automatically collect data and send information about how you’re feeling directly to your provider. By assisting in symptom monitoring, AI-powered tools may help reduce the need for frequent in-person visits for some people. This extra data can give your provider a clearer picture of how you’re doing between sessions and can help with tracking your progress. 

Journaling

Mood trackers

An AI mood tracker can help you follow your emotional well-being by monitoring stress and mood changes. Depending on the app, mood trackers may use daily check-ins, voice or facial expression analysis, or the language in journal entries to find patterns in how you’re feeling. Over time, mood tracking may reveal trends in what worsens or improves your symptoms. 

Clinician assistance

– Talkspace therapist, Minkyung Chung, MS, LMHC

Opportunity for clinician insight (use this question to spark a relevant insight): How do you feel about AI being used to assist clinicians (e.g., transcribing sessions, triaging)? Has this impacted your workflow or care delivery?

Is AI Mental Health Support Just a Trend?

Sometimes AI tools can be dangerous. In 2023, the National Eating Disorder Association (NEDA) had to remove its AI-powered chatbot for giving harmful advice about eating disorders. Overall, more research is needed to learn how effective AI tools may be.

Will AI Redefine the Future of Therapy?

Some new AI tools aim to simulate certain aspects of the therapeutic relationship between a patient and their therapist through natural conversations, emotional responsiveness, and memory of past interactions. Emerging concepts, like digital companions, may offer some people emotionally responsive support. However, even advanced AI tools can’t truly replicate or replace the trust, empathy, and nuance of a trained human therapist. While AI tools can offer support or a sense of companionship, the therapeutic alliance — the bond between a therapist and client — is built on shared humanity and empathy that can’t be replaced with technology-based techniques. 

The Ethical and Existential Stakes of Using AI in Mental Health

Balancing Innovation With Ethical Responsibility

Data ownership and privacy

Gaps in regulation

Embracing Innovation Without Losing Humanity

Sources:

1. Gutierrez G, Stephenson C, Eadie J, Asadpour K, Alavi N. Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review. Front Psychiatry. 2024;15:1356773. Published 2024 May 7. doi:10.3389/fpsyt.2024.1356773 https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2024.1356773/full
2. McGrath JJ, Al-Hamzawi A, Alonso J, et al. Age of onset and cumulative risk of mental disorders: a cross-national analysis of population surveys from 29 countries. Lancet Psychiatry. 2023;10(9):668-681. doi:10.1016/S2215-0366(23)00193-1 https://www.sciencedirect.com/science/article/abs/pii/S2215036623001931?dgcid=author 
3. Barriers to care in a changing practice environment: 2024 practitioner pulse survey. American Psychological Association. Published December 2024. Accessed June 6, 2025. https://www.apa.org/pubs/reports/practitioner/2024/practitioner-pulse-2024-full-report.pdf 
4. Ni Y, Jia F. A scoping review of AI-driven digital interventions in mental health care: Mapping applications across screening, support, monitoring, prevention, and clinical education. Healthcare. 2025;13(10):1205. doi:10.3390/healthcare13101205 https://www.mdpi.com/2227-9032/13/10/1205 
5. Kuhail MA, Alturki N, Thomas J, Alkhalifa AK, Alshardan A. Human-human vs human-AI therapy: An empirical study. International Journal of Human–Computer Interaction. 2024; 41(11):6841-6852. https://doi.org/10.1080/10447318.2024.2385001 https://www.tandfonline.com/doi/full/10.1080/10447318.2024.2385001#abstract 
6. Cheng SW, Chang CW, Chang WJ, et al. The now and future of ChatGPT and GPT in psychiatry. Psychiatry Clin Neurosci. 2023;77(11):592-596. doi:10.1111/pcn.13588 https://pmc.ncbi.nlm.nih.gov/articles/PMC10952959/ 
7. Olawade DB, Wada OZ, Odetayo A, David-Olawade AC, Asaolu F, Eberhardt J. Enhancing mental health with Artificial Intelligence: Current trends and future prospects. J Med Surg Public Health. 2024;3:100099. doi:10.1016/j.glmedi.2024.100099 https://www.sciencedirect.com/science/article/pii/S2949916X24000525 
8. Cruz-Gonzalez P, He AW-J, Lam EP, et al. Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications. Psychological Medicine. 2025;55:e18. doi:10.1017/S0033291724003295 https://www.cambridge.org/core/journals/psychological-medicine/article/artificial-intelligence-in-mental-health-care-a-systematic-review-of-diagnosis-monitoring-and-intervention-applications/04DBD2D05976C9B1873B475018695418 
9. Zhong W, Luo J, Zhang H. The therapeutic effectiveness of artificial intelligence-based chatbots in alleviation of depressive and anxiety symptoms in short-course treatments: A systematic review and meta-analysis. J Affect Disord. 2024;356:459-469. doi:10.1016/j.jad.2024.04.057 https://www.sciencedirect.com/science/article/abs/pii/S016503272400661X# 
10. Schillings C, Meißner E, Erb B, Bendig E, Schultchen D, Pollatos O. Effects of a chatbot-based intervention on stress and health-related parameters in a stressed sample: Randomized controlled trial. JMIR Ment Health. 2024;11:e50454. doi:10.2196/50454 https://mental.jmir.org/2024/1/e50454 
11. Artificial intelligence and machine learning in software as a medical device. U.S. Food and Drug Administration website. Updated March 25, 2025. Accessed June 6, 2025. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device