Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

64.0%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Medical and Health Services Managers

They plan, direct, and coordinate healthcare services to ensure hospitals and clinics run smoothly and patients get the care they need.

This role is evolving

This career is labeled as "Evolving" because AI is starting to handle many of the routine administrative tasks in healthcare, like taking notes and creating reports. However, the core responsibilities that require human skills, such as leadership, decision-making, and communicating with teams, are still essential and can't be replaced by machines.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

This career is labeled as "Evolving" because AI is starting to handle many of the routine administrative tasks in healthcare, like taking notes and creating reports. However, the core responsibilities that require human skills, such as leadership, decision-making, and communicating with teams, are still essential and can't be replaced by machines.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

46.1%

46.1%

Anthropic's Observed Exposure

AI Resilience

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Evolving iconEvolving

63.4%

63.4%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

76.4%

76.4%

Althoff & Reichardt

Economic Growth

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Stable iconStable

84.5%

84.5%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

23.2%

Growth Percentile:

99.2%

Annual Openings:

62,100

Annual Openings Pct:

84.1%

Analysis of Current AI Resilience

Medical & Health Svcs Mgrs

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

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.

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AI Adoption

AI in the real world

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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More Career Info

Career: Medical and Health Services Managers

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Inspect facilities and recommend building or equipment modifications to ensure emergency readiness and compliance to access, safety, and sanitation regulations.

2

85% ResilienceCore Task

Maintain communication between governing boards, medical staff, and department heads by attending board meetings and coordinating interdepartmental functioning.

3

80% ResilienceCore Task

Direct, supervise and evaluate work activities of medical, nursing, technical, clerical, service, maintenance, and other personnel.

4

80% ResilienceCore Task

Manage change in integrated health care delivery systems, such as work restructuring, technological innovations, and shifts in the focus of care.

5

80% ResilienceCore Task

Review and analyze facility activities and data to aid planning and cash and risk management and to improve service utilization.

6

75% ResilienceCore Task

Direct or conduct recruitment, hiring and training of personnel.

7

75% ResilienceCore Task

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.

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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