Ushering in the next era of frontline nursing with AI
500+ US nurses just revealed what AI adoption actually looks like on the frontline—and it's not what healthcare execs think.
Why it matters
As healthcare organizations rush to deploy AI, a McKinsey survey of 500+ nurses exposes a critical gap: technology is being layered onto existing workflows rather than reimagining work itself. This matters for founders building clinical AI tools and investors evaluating healthcare tech valuations—product-market fit requires understanding practitioner adoption barriers, not just clinical efficacy.
The key facts
8 to knowSurvey of 500+ US nurses on AI adoption
Finding: organizations layering technology onto existing nursing workflows rather than reimagining work
Source: McKinsey & Company healthcare insights
Published May 2026
Survey of 500+ US nurses on AI adoption in clinical settings
Finding: organizations layering AI onto existing workflows rather than redesigning for AI
Published by McKinsey — healthcare industry insights
Focus on frontline nursing work reimagination, not simple tech implementation
Go to the source
McKinsey Insightsmckinsey.com
Publisher excerpt: A survey of more than 500 US nurses highlights growing AI adoption but points to the opportunity for clinical-care organizations to reimagine—not simply layer technology onto—nursing work.