The 167 Hours Nobody Is Regulating

The number that stayed with me this week wasn't the one about bans or funding. It was 63.3%.

That's the share of adolescents and young adults who used an AI chatbot for mental health advice and never told a parent, a friend, or any other trusted adult they were doing it — from a JAMA Pediatrics study covered by Becker's Behavioral Health. The same study estimates 8.2 million young Americans, roughly one in five, did this in 2025. Nearly 92% found it somewhat or very helpful. Almost 43% came back at least monthly.

Read that last figure again. A recurring monthly appointment, kept faithfully, that appears in no chart, no intake form, no treatment plan. John Constantino, MD, who leads behavioral and mental health at Children's Healthcare of Atlanta, told Becker's that young people are drifting into conversations with AI that mirror what they'd otherwise bring to a caregiver or clinician, "often without realizing that's what they're doing." His warning was blunt: "AI can be seductive in pulling, especially vulnerable youth, into that kind of a role or position or mindset."

I want to name the pattern that ran through every story I read this week, because I don't think it's the one most people are taking away.

The line is being drawn around the chair, not around the week

The regulatory story is real and it is moving fast. Becker's reported this week that five states enacted laws in 2026 restricting AI therapy chatbots — Colorado, Maine, Rhode Island, Tennessee and Vermont — joining Illinois and Nevada from the year before, according to the Transparency Coalition's mid-year legislative report. Maine's took effect July 29. Colorado's lands August 12. Most of these laws work the same way: they lean on the state's existing authority to license mental health professionals and say, in effect, this is a licensed act, and software does not hold a license.

Quartz, covering the same wave, described states as "all over the map" — six states split four ways, with the same product legal in one jurisdiction and criminally exposed in another. Their framing of where the trouble starts is precise: it begins when the bot plays doctor, handing out a diagnosis, a treatment plan, or a license number it invented.

I agree with the direction of these laws. I've argued for a while that psychotherapy should stay with qualified clinicians, and it's clarifying to watch legislatures arrive at the same place from the licensure side rather than the AI-safety side. But notice what the laws actually settle. They settle who may occupy the therapist's chair for fifty minutes. They say almost nothing about the other 167 hours in the week.

And the 167 hours are where the demand lives.

Warmth is not the same as help

There's a tempting counterargument: maybe the chatbot is fine for the in-between, because people find it kind. Quartz took that apart this week in a piece on what chatbot empathy studies actually measured. Since a 2023 study in which health care professionals rated chatbot responses as warmer and more empathetic than physicians', that finding has circulated as evidence that AI might be better at the emotional core of therapy. Quartz's argument is that the high empathy scores are largely measuring agreeableness, not clinical skill — and that people in crisis often need pushback more than they need validation.

That maps onto something any clinician will tell you. A meaningful part of the work is the moment the therapist declines to agree with you: the gentle contradiction, the noticed pattern, the question that makes the room uncomfortable for thirty seconds. A system optimized to keep you talking will not do that, because doing it costs engagement.

So the chatbot wins on availability and loses on judgment. The clinic wins on judgment and loses on availability. Both of those are true at 2 a.m., which is when it matters.

The market has already started voting

The capital side has quietly reached the same conclusion. Market analysis of 2026 mental health funding from research2guidance found money concentrating hard on clinical infrastructure — psychiatry copilots, clinical AI assistants, hybrid clinician-supervised platforms — while generic LLM chatbots dressed as therapy became, in their words, the most visible loser of the year. Their summary of the new bar is the sentence I'd tape to a wall: "Human in the loop is now a precondition, not a feature." (That analysis published in May; I'm including it as the market backdrop against which this week's regulatory news landed.)

What they flag as underbuilt is the interesting part: measurement infrastructure and care navigation — the connective tissue between appointments.

What I think we're actually building

Put the week together and the argument writes itself. Legislatures have defined the therapist's role and defended it. Researchers have shown that what feels like empathy from a chatbot is frequently just compliance. Millions of young people are, meanwhile, holding a secret standing appointment with software because the alternative is a wait list and an awkward conversation. And investors are backing the companies that put a clinician at the center rather than replacing one.

None of that closes the gap. It just says clearly who should own it.

At Lisner we've taken the position that the answer isn't a better chatbot, it's a better-informed clinician. The interesting problem is not "can AI do therapy" — that question is now largely settled, by statute in seven states. The interesting problem is: what does a therapist know about their patient's week before the patient sits down? What if the alliance started before the first session, because the match was made on more than availability and insurance? What if the 167 hours produced signal the clinician could actually see, rather than a private log nobody ever reads?

Constantino's line about that Georgia school district stuck with me — every student's ID badge lists the name of one specific adult in the building who is their person. It's a small, almost silly detail that stands in for the entire thesis. The technology worth building is not a substitute for that person. It's whatever makes sure that person isn't walking in blind.

"Mental health is health," Constantino said, arguing that health systems need to stop outsourcing it. Same instinct, different layer: AI in mental health shouldn't be a way to route around the clinician. It should be the reason the clinician already knows what happened on Tuesday.