It's been almost six months since the Trump administration unveiled a sweeping health tech initiative that aims to modernize Medicare and advance next-generation digital health for patients, including conversational artificial intelligence, digital IDs and easier ways to access health data.

Dozens of doctors and therapists said chatbots had led their patients to psychosis, isolation and unhealthy habits. Julia Sheffield, a psychologist at Vanderbilt University Medical Center in Nashville, is navigating how to treat problems caused or exacerbated by A.I. chatbots.

In 2026, capital, talent, and economics will continue to reorganize around these axes: computation, precision, and prevention. The predictions that follow mark inflection points where technological maturity meets market readiness, and where we anticipate substantial activity this year.

To understand the venture capital (VC) model, you have to look at it not just as a source of money, but as a finite financial product.

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Big hospital systems have become the proving ground for widespread AI adoption, testing what the technology can do, but also revealing—sometimes via alarming mishaps—where it falls flat.

In an industry in constant flux, sticking your neck out to predict what’s coming next may seem reckless. (AI bubble? What AI bubble?) But for the last few years we’ve done just that—and we’re doing it again. 

If 2025 delivered shock waves to public health and federal health programs, this year promises more chaos as providers, payers, consumers and policymakers deal with the repercussions.

In the back half of 2025,  a slew of organizations announced forthcoming artificial intelligence certification programs that would offer providers and developers the opportunity to align their AI practices with technical and ethical standards.