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AI can support limited mental-health tasks, but it is not a therapist. A chatbot may help you organize questions for an appointment, learn general information, or rehearse an exercise your clinician has already taught you. Current professional guidance does not support using a general-purpose generative chatbot as a replacement for psychological treatment, diagnosis, crisis care, or a therapeutic relationship.
What people mean by “AI therapy”
“AI therapy” is an umbrella term, not a single kind of product. The same phrase can describe a general-purpose chatbot that someone uses for emotional support, a conversational system designed for mental-health or wellness use, or a broader digital service that screens symptoms, supports self-management, or delivers a treatment program. Those categories differ in purpose, evidence, human oversight, privacy practices, and legal status.
| Category | Original purpose | What users may ask it to do | Important limitation |
|---|---|---|---|
| General-purpose generative AI | Conversation, writing, information, and other broad tasks | Explain a symptom, suggest coping ideas, or help prepare for a visit | It was not designed or validated as mental-health treatment and may lack clinical-risk assessment and context. |
| Mental-health or emotional-wellness chatbot | Supportive conversation, psychoeducation, or structured exercises | Check in on mood, guide a scripted exercise, or provide a self-help activity | Quality and clinical benefit depend on the particular system, population, outcome, and oversight. |
| Digital mental-health tool | Assessment, monitoring, self-management, or a defined therapy program | Track symptoms, complete modules, or follow a clinician-linked plan | Marketing language does not establish that the tool is effective, regulated, or suitable for your condition. |
| Wellness app | Daily living, relaxation, sleep, or general wellbeing | Meditation, journaling, reminders, or habit tracking | A wellness purpose is not the same as diagnosing or treating a mental disorder. |
The American Psychological Association (APA) notes that people often use general-purpose chatbots and wellness apps for mental-health purposes even when the products were not built for that role. There is no settled consensus that these systems have the context, cultural competence, or clinical-risk judgment required for mental-health care.
How AI mental-health chatbots are evaluated
A polished conversation and high user engagement do not demonstrate clinical benefit. A 2025 systematic review by Hua and colleagues in World Psychiatry examined 160 studies published from 2020 through 2024. It separates evaluation into three stages:
- Technical validation: whether the system functions as designed, such as recognizing an input or producing a coherent response.
- Feasibility and engagement: whether people can use the system, complete activities, and remain engaged.
- Clinical efficacy: whether a defined intervention improves a clinically relevant outcome in a specified population, usually under a stated study design.
The review found that large-language-model (LLM) chatbots made up 45% of new studies in 2024. However, only 16% of LLM-chatbot studies underwent clinical-efficacy testing, while 77% remained in early validation. Across all chatbot types in the review, 47% focused on clinical-efficacy testing. These percentages describe the reviewed academic literature, not the market share, real-world effectiveness, or safety of any particular product. A system can pass a technical test or attract regular users without showing that it treats a disorder or reduces risk.
Can AI replace a therapist?
No. The APA’s professional discussion states: “Despite the appeal, APA does not recommend using general purpose generative AI chatbots for psychological treatment.” A licensed clinician does more than generate supportive text: they establish a working relationship, assess changing risk, interpret a person’s history and culture, select and adapt an intervention, notice deterioration, and coordinate further care. A general-purpose model is not accountable for those clinical decisions.
This does not mean every digital tool is useless. A purpose-built program may have evidence for a narrow intervention, and a clinician may incorporate software into a broader treatment plan. The relevant question is not whether a product calls itself “AI therapy,” but what it is intended to do, what population and outcome were studied, who supervises use, and what happens when a user becomes unsafe.
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APA describes limited uses that do not turn a chatbot into your provider. Keep the tool in an assistant role and verify suggestions with a qualified professional.
- Prepare for an appointment: Ask it to turn your notes into a short list of questions, symptoms, dates, triggers, and medication concerns. Check the result against your own records before sharing it.
- Organize thoughts between sessions: Use a private journal or a locally stored note first; if you use a service, understand its data policy before entering details.
- Practice a skill already taught by your clinician: You might rehearse a cognitive-behavioural therapy (CBT) thought record or a breathing exercise exactly as instructed. Do not let the chatbot invent a treatment plan or change prescribed care.
- Learn general information: Request plain-language explanations of terms to discuss with a clinician. Treat the answer as a starting point, not a diagnosis.
- Track patterns for discussion: A mood or symptom log can help you and your clinician identify timing and triggers when the tracking method has been agreed in advance.
APA advises telling your mental-health professional if you use AI. A clinician can help you identify advice that is unsuitable, culturally mismatched, or inconsistent with your treatment.
What AI should not do
- Diagnose you: APA says AI is not an accurate way to diagnose mental or medical conditions. Similar symptoms can have different causes, and a chatbot cannot perform a clinical assessment.
- Be your only support: The APA consumer guide states, “AI should not be your only resource to relieve mental health symptoms.” Keep access to qualified human care and trusted people.
- Manage a crisis: Do not ask a chatbot to decide whether you are at immediate risk, create a safety plan without professional involvement, or tell you whether emergency help is necessary.
- Replace prescribed treatment: Never stop medication, alter a dose, or abandon therapy because a generated response suggests doing so.
- Direct high-stakes decisions: Advice involving self-harm, harm to others, abuse, severe withdrawal, psychosis, or medical emergencies requires qualified human assessment.
Is AI therapy safe in a crisis?
Do not rely on a chatbot for acute danger. In an APA discussion, six popular chatbots were tested against simulated mental-health crises; none met clinical standards for crisis response. That finding applies to the systems and scenarios tested at that time, not automatically to every product or future version. It does show why a fluent, empathetic reply should not be mistaken for a reliable safety intervention.
If you may hurt yourself or someone else, cannot stay safe, or face an immediate medical emergency, stop the conversation and contact your local emergency service or crisis line, go to an emergency department, and involve a trusted person who can stay with you. Crisis numbers and procedures vary by country, so use services available where you are. For urgent but non-immediate concerns, contact a licensed mental-health professional or your local health service.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteAPA quotes Tony Rousmaniere, PsyD, president of the Sentio MFT program: “We need to start asking about this the same way we ask about other coping behaviors and be prepared to help people navigate both the risks and opportunities of generative AI.” Tell your clinician what you entered and what the system advised, particularly if the advice influenced your safety decisions.
Is an AI chatbot private?
Do not assume it is. APA warns that information shared with AI is not kept private. A service may collect prompts, account details, device identifiers, usage logs, or conversation history; the policy determines retention, staff or contractor access, secondary use, deletion controls, and whether data is used to improve models. The exact practices differ by product and can change.
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Before entering mental-health information, read the service’s current privacy and terms pages and look for:
- What data is collected, including chat transcripts and inferred information.
- How long data is retained and whether you can delete it.
- Who can access it and whether vendors or business partners process it.
- Whether prompts are used for model training or other secondary purposes.
- Encryption, account security, export options, and controls for memory or personalization.
- How the service handles legal requests, minors’ data, and cross-border transfers.
Use the minimum information needed. Remove names, addresses, dates of birth, workplace details, account numbers, photographs, and identifying information about other people. A private offline note may be safer for raw journaling. If a clinician asks you to use a particular tool, ask which information is appropriate to enter and how the provider’s records are protected.
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Legal classification is not universal. The Australian Therapeutic Goods Administration (TGA) says, “Some digital mental health tools (DMHT) are regulated as medical devices.” Under its purpose-based approach, software is likely to meet the medical-device definition when it is intended to diagnose or screen for a condition, monitor symptoms or treatment, or provide a therapeutic intervention such as CBT.
Software limited to non-clinical functions—displaying information, scheduling, symptom tracking without analysis, or facilitating telehealth—is not regulated by the TGA as a medical device. The TGA also says excluded or non-device products have not been assessed by it for quality, safety, or performance. This guidance was last updated on 11 February 2026 and applies to Australia; do not transfer its classifications to the United States, European Union, United Kingdom, or another jurisdiction without checking that jurisdiction’s rules.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to assess a specific AI mental-health service
Use the following questions before signing up or sharing sensitive information:
| Question | What a credible answer should specify | Warning sign |
|---|---|---|
| What is the intended purpose? | Conversation, wellness, psychoeducation, screening, monitoring, or treatment, stated plainly | “Therapy” claims with no defined intervention or target condition |
| What evidence exists? | Population, comparison, outcome, study design, follow-up, and whether results were independently evaluated | Testimonials, engagement numbers, or technical accuracy presented as clinical proof |
| Who is involved? | Self-guided use, clinician supervision, or direct access to a licensed professional, with credentials and boundaries | No identifiable clinical responsibility or impossible promises of continuous care |
| What is the crisis pathway? | Clear escalation to qualified humans, emergency instructions, and limits of automated responses | Claims that the bot itself can keep you safe |
| What happens to data? | Collection, retention, access, deletion, training use, and user controls | Vague privacy language or no way to delete conversations |
| What oversight applies? | Country, registration or classification where relevant, and service standards | “Approved” language without naming the regulator, jurisdiction, or product |
A practical low-risk workflow
- Define the narrow task. Choose preparation, information, or practice of a clinician-taught skill—not diagnosis or treatment selection.
- Check the service first. Read privacy terms, retention settings, age limits, geographic availability, and crisis instructions.
- Minimize details. Use a fictional example or redacted notes until you know how data is handled.
- Ask for structure, not authority. Request a question list, summary, or reminder of an exercise instead of “Tell me what disorder I have.”
- Verify every consequential suggestion. Compare it with instructions from your clinician or an authoritative health service.
- Bring the interaction to a human. Share relevant outputs with your therapist or doctor, especially anything that increased distress or changed your behavior.
- Stop when the tool is unsafe or unhelpful. Step away from advice that points toward harm and contact trusted people and qualified providers.
What the evidence can—and cannot—say today
The field is changing quickly. The 2025 review shows rapid growth in LLM studies but also that most LLM work was still in early validation. That combination means technical progress and popularity should not be reported as proof that AI can replace psychotherapy. Evidence must be read at the level of the exact product, intervention, users, outcome, and follow-up period.
A clinician-led online session and an autonomous chatbot are therefore not interchangeable. The former provides a licensed professional who can assess context and risk; the latter generates responses within software limits. Some digital programs may be useful adjuncts when their claims, evidence, privacy controls, and escalation procedures are clear. Until those conditions are established for a particular service, treat AI as a limited aid rather than care.
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