Clinicians resist AI when it feels opaque, unsafe, or misaligned with clinical judgment, leading them to default to human expertise even when AI tools are available.

Both staff and providers mistrust AI-driven determinations when the logic isn’t transparent, leading to hesitation, workarounds, and appeals instead of confident adoption.

Pharmacists often resist AI tools for verification, dispensing, or clinical checks because they worry about safety, liability, and losing control over decisions that directly affect patient care.

Frontline staff mistrust AI-driven assessments and claims decisions when they can’t see how conclusions are reached, creating friction and avoidance instead of adoption.

Users hesitate to rely on AI for decisions involving money because uncertainty, loss aversion, and low transparency make automated recommendations feel risky.