AI Resilience Report forMedical and Health Services Managers

If you're considering a career as a medical or health services manager, here's some good news: AI is mostly showing up as a helper, not a replacement. Hospitals are using AI to take over the repetitive paperwork that drains staff time, freeing managers to focus on people and big-picture strategy. According to Healthcare Dive, providers have largely focused on implementing AI tools for administrative and back-office work, like ambient scribes for documentation and products to speed revenue cycle management and prior authorization.

A survey by the Medical Group Management Association found that 68% of medical groups reported adding or expanding AI tools in 2025, with practices gravitating toward high-volume work like documentation, patient communications, and scheduling. The American Hospital Association reports that the portion of hospitals using predictive AI tools integrated with electronic health records increased from 66% in 2023 to 71% in 2024. So tasks like maintaining records and monitoring resources are increasingly augmented — but managers still make the final calls.

Adoption is accelerating, but unevenly. Deloitte found that early adopters of agentic AI are primarily large organizations with revenue greater than $5 billion (65%), while smaller "watcher" organizations prefer to wait — yet 100% of watchers expect to increase investment in the next two to three years ^[1]. Cost pressure is a big driver — health systems will continue rolling out AI products in 2026, buoyed by hopes the technology will automate tasks and lower expenses amid significant Medicaid cuts.

But regulation and ethics slow things down: the U.S. is navigating a fragmented regulatory regime, with states increasingly taking the lead and creating a patchwork of laws, which makes managers cautious. Importantly, MGMA polling found 42% of leaders said their organization has — or is developing — formal AI governance policies, meaning humans who can lead change, set rules, and inspect facilities remain essential. The Bureau of Labor Statistics still projects strong growth for these managers ^[2], so the human leadership skills you bring — judgment, ethics, and team-building — are exactly what AI can't replicate.