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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Medical and Health Services Managers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of a Medical and Health Services Manager is labeled as "Resilient" because while AI tools can help with routine tasks like paperwork and data analysis, the essential duties that require human judgment, communication, and leadership remain in the hands of people. These managers need to work with teams, create policies, and inspect facilities, which are tasks that AI cannot fully replace.
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Learn more about how you can thrive in this position
This role is resilient
The career of a Medical and Health Services Manager is labeled as "Resilient" because while AI tools can help with routine tasks like paperwork and data analysis, the essential duties that require human judgment, communication, and leadership remain in the hands of people. These managers need to work with teams, create policies, and inspect facilities, which are tasks that AI cannot fully replace.
Read full analysisAnalysis of Current AI Resilience
Medical & Health Svcs Mgrs
Updated Quarterly • Last Update: 2/17/2026

Medical and health services managers already use computers for many duties. For example, they “develop and maintain computerized record management systems” to store data and make reports [1]. Today new AI tools are helping with routine administrative work.
Ambient “AI scribes” and speech-to-text systems can take notes or write summaries, cutting down paperwork [2] [3]. Generative AI and machine learning can even draft billing documents or find patterns in hospital data (like patient no-shows or claim denials) to speed up budgeting tasks [3] [2]. However, many core duties still need people.
Tasks that involve talking with a team, creating policies, or inspecting facilities require judgment and communication skills. For now, AI mostly augments these managers by handling data and routine reporting, not replacing the human decision-making [3] [2]. In short, computers and AI can help manager take care of paperwork (reports, schedules, basic analyses), but the complex planning, leadership and personal interaction parts of the job stay with humans.

Hospitals and clinics are interested in AI mainly because administrative work is very costly. Estimates show administration is about 25% of U.S. healthcare spending [3] [3], so even small efficiency gains add up. This drives companies to build AI for tasks like coding insurance claims, scheduling staff, and summarizing visits [3] [3].
In fact, industry experts say healthcare is at a “tipping point” for technology use [3], meaning better tools (big data, cloud computing, AI) are available.
But adoption will be gradual. Implementing new AI systems can be expensive and must protect patient privacy and safety. The technology must be very reliable before hospitals trust it with important decisions.
Also, because these manager roles are growing fast (older population means more health services needed), there is a strong need for skilled people. So in practice, AI is expected to augment managers – taking over high-volume, routine tasks – rather than replace them. Young people learning to be health managers should focus on skills like leadership, flexibility, and care, which complement AI tools rather than compete with them [3] [3].

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They plan, direct, and coordinate healthcare services to ensure hospitals and clinics run smoothly and patients get the care they need.
Median Wage
$117,960
Jobs (2024)
616,200
Growth (2024-34)
+23.2%
Annual Openings
62,100
Education
Bachelor's degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Monitor the use of diagnostic services, inpatient beds, facilities, and staff to ensure effective use of resources and assess the need for additional staff, equipment, and services.
Inspect facilities and recommend building or equipment modifications to ensure emergency readiness and compliance to access, safety, and sanitation regulations.
Direct, supervise and evaluate work activities of medical, nursing, technical, clerical, service, maintenance, and other personnel.
Manage change in integrated health care delivery systems, such as work restructuring, technological innovations, and shifts in the focus of care.
Consult with medical, business, and community groups to discuss service problems, respond to community needs, enhance public relations, coordinate activities and plans, and promote health programs.
Direct or conduct recruitment, hiring and training of personnel.
Develop instructional materials and conduct in-service and community-based educational programs.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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