As of August 2026, Medical and Health Services Managers has an AI-exposure score of 68/100 (High exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Medical and Health Services Managers

68/100
High exposure
LowModerateElevatedHighVery High

More exposed than 86% of the roles we track. Median pay ~US$123,860. About 62,100 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Medical and Health Services Managers?

No exposure score can predict whether AI will replace this role. The 68/100 score means our current model estimates high task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the High exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Plan, direct, or coordinate medical and health services in hospitals, clinics, managed care organizations, public health agencies, or similar organizations.

Common titles
Clinical DirectorHealth Information Management Director (HIM Director)Health Information Manager (HIM Manager)Nursing DirectorCancer Center DirectorHealthcare System Director
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingSpeakingComplex Problem SolvingMonitoringReading ComprehensionSocial Perceptiveness
Work context
Indoor controlled settingFrequent contact with othersDecision latitudeRepeating tasks

Source: O*NET 29.1 exact occupation - Medical and Health Services Managers, SOC 11-9111.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

Know someone whose job is changing? Share your score.
Post Share Score card
Every share sends them to their own free scan.

Medical and Health Services Managers tasks, by AI exposure

Automatable
  • Develop and maintain computerized record management systems to store and process data, such as personnel activities and information, and to produce reports.
  • Establish work schedules and assignments for staff, according to workload, space, and equipment availability.
  • Review and analyze facility activities and data to aid planning and cash and risk management and to improve service utilization.
2 more automatable tasks locked in the report.
Augmentable
  • Direct or conduct recruitment, hiring, and training of personnel.
  • Prepare activity reports to inform management of the status and implementation plans of programs, services, and quality initiatives.
11 more augmentable tasks locked in the report.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 72% augmentable / 28% automatable.

We analyzed all 18 Medical and Health Services Managers tasks - 5 automatable and 13 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Clinical Nurse Specialists
64% skills overlap; 21 points lower - lower exposure; Moderate band; ~US$97,550
View path
47
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Develop and maintain computerized record management systems to store and process data, such as personnel activities and information, and to produce reports.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
Unlock the report to check this task

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

Personalize it: paste your résumé & LinkedIn (optional) - your rewrite is included in the report
Used only to generate your report. You can delete it anytime via delete my data.
Optional preference: adds a clearly labeled tradeoff card. It never reorders or relabels the evidence-backed adjacent roles.
14-day money-back guarantee One-time · kept forever · no subscription

Generation starts after checkout; reports are typically ready within a few minutes.

Get ahead: a rising skill on this path is Critical Thinking. Explore courses →
Some course links are affiliate links - we may earn a small commission at no extra cost to you.
Unlock my report - $29
Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

Scan your own job

Medical and Health Services Managers - median pay by US state (BLS OEWS, USD)

New York: US$164,120California: US$141,480Florida: US$120,360Texas: US$114,150

Median annual wage, in USD. US national: US$123,860. More states are being added.

More Management roles

Chief Executives Chief Sustainability Officers General and Operations Managers Advertising and Promotions Managers Fundraising Managers Administrative Services Managers