Scaling Mental Health Access Through AI

Why we picked this episode

Every week the HTC editorial desk listens across the health tech podcast landscape and selects the conversations that actually move a listener's understanding forward. This episode of Raising Health (a16z), featuring Neil Parikh & Daniel Cahn, earned its place on that list.

What the conversation covers

Building foundation models for psychology: how AI chat-based tools can expand access to subclinical mental health support and empower both therapists and patients.

Key discussion threads

The bigger picture

The AI adoption question runs through every executive conversation in 2026. The evidence base is finally arriving: the largest controlled study of ambient documentation, published in JAMA, found clinicians saved 16 minutes of documentation time per day - but only a third of users hit the usage threshold for maximum benefit (our coverage). Meanwhile Rock Health has stopped labeling AI as a differentiator at all, because every company claims it - which is exactly why operating discipline of the kind described here separates winners from demo-ware.

Behavioral health is digital health's center of gravity: mental health conditions account for 52.1% of all telehealth claim lines (FAIR Health data), the category has topped clinical funding for seven straight years, and states have enacted twenty AI-mental-health laws as regulators catch up (our coverage). That is the terrain this conversation navigates.

The HTC take

Listen with a notebook handy: the most valuable material here is operational, not theoretical - the kind of detail that only surfaces when practitioners talk shop. Pair it with our related coverage below and you have a working brief on the topic.