2025 Outlook: The Next Wave of California AI Healthcare Bills
18 bills down, more to come. What the 2026 legislative session holds for MedTech. 🔮
What's Next?
The 2024 legislative session was historic for AI, but 2025 promises to be even more active. Legislators have signaled that they are not done regulating healthcare AI. Here is what to watch for:
- Algorithmic Discrimination in Insurance: Expect bills targeting how AI is used to price health insurance premiums and deny coverage (expanding on SB 1120).
- Mental Health AI: Specific regulations for "therapist bots" are likely, potentially requiring them to be registered as medical devices at the state level.
- Data Dividends: Proposals to require companies to pay patients for the data used to train profitable AI models.
The "Sandwich" Effect
MedTech companies will continue to be "sandwiched" between federal inaction (Congress moving slowly) and state hyper-activity (California moving fast). This creates a fragmented compliance landscape where California effectively sets the national standard.
Preparation
The best defense is a robust compliance framework that can adapt to new rules as they emerge. Don't build for today's laws; build for the principles of transparency, fairness, and human oversight. These principles will underpin whatever specific text is passed in 2026.
Conclusion
Stay vigilant. The regulatory environment is dynamic. Join industry groups, subscribe to legislative trackers (like this one), and keep your legal team on speed dial.
Frequently Asked Questions (FAQ)
Will there be a federal AI law soon?
It's possible, but unlikely to be as strict as California's. Any federal law might set a "floor," but California will likely continue to set the "ceiling."
How can I influence these bills?
Engage with trade associations like AdvaMed or local tech councils. They lobby Sacramento and can help shape the technical details of these bills to make them more practical.
Should I delay my product launch?
Not necessarily. But you should launch with a "compliance-first" architecture. It's easier to add a disclosure feature now than to re-architect your entire data pipeline later.