Why Mental Health Scales So Poorly for Venture Capitalists

I’ve been watching a pattern repeat itself in mental health startups, and I think we need to talk about it.
Private equity and VC-backed mental health companies promise clinicians the moon:
✔️ Better rates from insurers
✔️ Admin support for clinicians
✔️ Flexible hours
✔️ More access for clients
✔️ Scalable growth for investors
✔ More benefits
But here’s what I’ve seen actually happens:
💸 Investors want passive income and high returns.
💵 The juice is not worth the squeeze, or at least not sufficient when negotiating with insurance companies
💼 Clinicians do all the actual work but are treated like widgets.
💥 The math doesn’t math.
Negotiating better insurance rates may move the needle slightly, but it will never be enough to create the margins investors demand. (Look at investor response to United Health Care increasing payouts. They sued.)
So when reality falls short of the pitch deck, leadership must go to the only place left to cut: the clinicians. Benefits shrink. Caseloads grow. Pay structures shift. Promises dissolve. Morale tanks. We have all seen it, repeatedly.
It is a form of investor-class social loafing. Those contributing only capital yet expect the bulk of returns, while those delivering the service (therapists) get squeezed.
In our mission-driven industry, this just doesn’t work.
MH care isn’t infinitely scalable without drastically lowering quality. We’re not McDonald’s. (VC: “Maybe we can do it with bots or offshore clinicians?”)
I believe practices thrive when:
— Local clinicians are valued as the CORE of the business
— Leadership grows from within
— Scaling is slow and intentional, not extractive
— Profit is earned ethically, not wrung from burned-out providers
That’s the model I’ve built my practice on, and I’m more convinced than ever it’s the best way to ethically scale.
If you’ve seen this play out either as a clinician, practice owner, or client, I’d love to hear your thoughts. Join the conversation on LinkedIn. – Dr. Elizabeth Carr
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