Should I Use AI Instead of a Therapist?

By Carl Chinn, LMHC/LPC · Licensed therapist since 2012 · Reviewed August 2026

We use AI for almost everything else now, including the private things we still want to talk through and understand better. Symptoms, contracts, the text we’re afraid to send. So why not therapy?

It’s a fair question. The honest answer, circa mid-2026, is that AI is a genuinely useful place to start and still not a substitute for talking to a person. The reasons are specific enough to be worth knowing before you trade one for the other.

Why AI can be a good first step

Let’s give it its due. There are real reasons it’s an attractive option, at least as an opening move:

• It won’t judge you. Unless you specifically tell it to, an AI isn’t going to react to something sensitive the way you’re afraid a person might.
• It’s patient. It won’t get tired, change the subject, or stop talking to you when you want to keep going.
• It’s available. It’s there at 3 in the morning when the wave of anxiety actually hits, in a way no human therapist reliably is.
• It’s read a lot. It’s aware of just about every therapeutic approach that’s ever been uploaded to the internet, and it can get into the weeds with you.
• It’s a neutral observer. With the right prompting, it can help you check your read on a situation.

And many others. If you’re turning something over and you want it to change, but you’re not ready to commit to therapy with a person yet, AI is a decent way to get your feet wet. It can introduce terms and put a name to things you didn’t know had names. That alone can be validating.

Where AI currently falls short

The limits are both subtle and not so subtle. 5 worth knowing about:

1. The context window problem

An AI is bound by a context window: the amount of text it can hold in mind at once. Each exchange stretches that capacity a little further until it can’t cram any more in, and details start to blur. You’ll find yourself re-explaining things you’ve already explained, until re-explaining is most of what you’re doing. Memory between chats helps some, but stored context is still limited circa mid-2026, and your most intimate details get flip-flopped in ways a person wouldn’t do.

2. AI has no stakes

For mechanical questions (what’s going on with my heart? how does this thing work? should I buy insurance for this?), AI is often great. Those are bounded questions about physical things that have been studied and can be cross-checked.

The weight of being conscious, and the weight of losing something if you get it wrong, is alien to it, no matter how convincing it tries to be otherwise. It’s hard to trust something with your real life when it doesn’t understand what you stand to lose by asking her out.

3. It will agree with you

Most AI is built to reflect, respond, and react. Getting one to take a stand and actually guide you somewhere is hard, especially once you start pushing back.

This one isn’t just a clinical hunch. A Stanford team led by Myra Cheng and Dan Jurafsky ran 11 large language models against interpersonal dilemmas and found the models endorsed the user’s position about 49% more often than human responders did. When the behavior described was harmful or illegal, the models still endorsed it 47% of the time (Cheng et al., reported by Stanford). Then they put more than 2,400 people into conversations with agreeable and less agreeable versions of the same model. The people who talked to the agreeable one came away more convinced they were right and less willing to repair things with the other party.

Did the participants notice they were being flattered? No. They rated the sycophantic model and the honest one as objective at the same rate, and they said they’d come back to the flatterer.

So an AI will roll with your resistance until the cows come home. It feels supportive. It often leaves you walking in circles. If the thing you’re bringing to it is a relationship you can’t decide about, that’s precisely the sort of question a model will affirm you on, and it’s worth asking a better version of the question instead.

4. The echo chamber

If the root of your problem is over-thinking, and over-thinking sits at the root of a lot of anxiety and depression, then using AI to think about it more can dig you deeper into the symptom instead of out of it. Susan Nolen-Hoeksema, the psychologist who spent her career on this, named the pattern rumination, and the longitudinal work that followed her found it operates as a mechanism carrying stressful life events forward into symptoms of both depression and anxiety (Michl et al., 2013). Dwelling on hopelessness reinforces the feeling of being stuck.

An AI may not know when to call it quits. Even when it does, your symptoms can be loud enough to overpower its better instincts and keep the conversation going. Part of a therapist’s job is noticing that the two of you have circled the same block 4 times, saying so out loud, and handing you something to do about it. That’s how changing the currency you price a task in works for attention problems: a tool, plus somebody holding you to using it.

5. AI is missing the holistic experience

You have many contexts: intellectual, emotional, somatic (body-based), spiritual, professional, and many others. AI has arguably one. Perhaps less than one. It has half of an intellectual context.

When an AI speaks, it doesn’t know what it’s going to say in advance. It populates one word at a time out of something like intuition. It has a kind of subconscious called embedding space, where its weights (its memories of everything it was trained on) are parked. You give it a prompt and it dreams something up out of that space. It currently can’t tell you why it thinks what it thinks. Pressed on it, it usually says “because of the weights” or “I don’t have access to my own weights.”

We don’t have access to ours either, or we might would choose to delete a few salacious, cringeworthy ones. What we make up for it with is everything else. Our memories tell us something, our emotions tell us something, our bodies tell us something, and the rest of our contexts tell us something. Combined, they create a network effect AI doesn’t have and can’t understand yet.

What the research actually shows so far

Is any of this settled? No. It’s early, and the honest picture has evidence pointing both directions.

The strongest result to date came out of Dartmouth, where a purpose-built therapy chatbot called Therabot was tested in a randomized trial of 210 adults with depression, generalized anxiety, or high risk for a feeding and eating disorder. After 4 weeks the treatment group’s symptoms dropped substantially against a waitlist control, and participants rated their working alliance with the chatbot on par with a human therapist (Heinz et al., NEJM AI, 2025). That’s a real finding and it deserves to be taken seriously.

It’s also worth being precise about what was tested. Therabot was built by clinicians, fine-tuned on therapist-written dialogue, and monitored by humans for the length of the trial. It was not the general-purpose assistant on your phone. The distance between those two things is most of the story.

The American Psychological Association drew its line in the same place. Its health advisory on generative AI chatbots and wellness applications notes that these tools mostly are not designed to deliver clinical treatment, often lack scientific validation and adequate safety protocols, and have not been through regulatory review. The same advisory allows that apps which teach coping strategies or reinforce skills you’re already building in therapy can help when they’re folded into a broader plan of care (APA health advisory).

Supplement, not replacement. That’s roughly where the evidence sits.

One thing to be careful about

If you’re in a rough stretch and using AI to talk it through, it’s worth knowing how these tools behave near the edges. RAND researchers put 30 suicide-related questions to ChatGPT, Claude, and Gemini 100 times apiece and compared the answers against expert clinician ratings. At the extremes the chatbots did reasonably well. In the middle, which is where most real distress actually lives, responses were inconsistent from one asking to the next and from one platform to another (McBain et al., Psychiatric Services, 2025).

So don’t route a crisis through a chatbot. If you’re having thoughts of harming yourself, you can call or text 988 to reach the Suicide and Crisis Lifeline in the US, 24 hours a day, and reach a trained person who will stay with you. Outside the US, use your local crisis line. If you’re in immediate danger, call 911. Help for this exists and people do come through it.

The flatness problem

There are more books, documentaries, and essays about mental health and personal growth than you could read in a lifetime. The best answers from the best teachers are available to all of us, mostly for free. We still can’t convert enough of that material into a lived experience.

You know the feeling. You read a great book by one of the greats, you come away with some real answers, and there’s still a gap: “that sounds right and it makes sense, but it doesn’t quite meet me where I’m at.” That flatness is the same flatness a lot of people describe after a long night of talking to AI. If you’ve only ever read the books, you might not know you’re missing anything.

Reading 10 books on mental health may not move the needle. Reading 10 books’ worth of AI prompt returns may not move it either.

So what does move it? Being in it with somebody. The most reliable predictor of whether therapy works isn’t the school or the technique. It’s the alliance: whether you and the other person agree on the goal, agree on the task, and have a bond while doing it. Across 295 studies and more than 30,000 patients, that relationship tracked with outcome consistently, regardless of approach, measure, or country (Flückiger et al., 2018).

AI is good for thinking. When what you need is another person, that’s a different thing entirely.

Use it to name what you’re dealing with. Use it to get your bearings at 3 in the morning. Use it to draft the question you want to ask out loud. Then ask somebody out loud. If you want the specifics on what you’d be signing up for, what therapy actually does is the next thing to read.

About the author
Carl Chinn, LMHC/LPC is a licensed therapist who has practiced since 2012. He writes about therapy, attention, and decision-making at Become The Way. Read Carl’s full bio.

Become The Way is a directory of independent licensed therapists. If you’ve been working something out with AI and you’re ready to say it to a person, you can browse therapists and book directly.

This article is for general information and educational purposes only. It is not a substitute for professional mental health care, and reading it does not establish a therapist-client relationship. If you are in crisis or having thoughts of harming yourself, please contact the 988 Suicide and Crisis Lifeline (US, 24/7 by call or text), your local crisis line if outside the US, or call 911 if in immediate danger.