Many Gen Z-ers pursuing careers in healthcare to avoid AI-related workforce shrinkage will learn a hard lesson: Job security and job satisfaction are two very different things.

There’s no shortage of technically impressive AI applications for primary care. Yet these tools tend to lag well behind AI models aimed at clinical specialties when it comes to integration into routine practice.

A new analysis published in Artificial Intelligence in Medicine argues that education tools are failing to show clinicians how to make use of new technologies, calling into question the benefit of rapid adoption. 

OpenAI, the developer of ChatGPT, has made a couple of big hires as it prepares for a major expansion into healthcare.

FDA clears AI-powered glucose monitoring app. The clearance marks a first for an over-the-counter tool in this category.

Tech vendor Reveleer and policy analytics firm Mathematica released their 2025 State of Technology in Value-Based Care report, the findings of which show that AI adoption in healthcare is widespread—but integration is spotty. 

Most organizations trying out generative AI—a full 95%—are failing to receive a measurable return on the pilot investment. 

If three sticking points aren’t unstuck soon, older Americans won’t benefit much by the 1,000+ medical devices that, as of 2025, are both equipped with AI and cleared by the FDA.