As of August 2026, Health Education Specialists has an AI-exposure score of 64/100 (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

Health Education Specialists

64/100
High exposure
LowModerateElevatedHighVery High

More exposed than 78% of the roles we track. Median pay ~US$64,070. About 7,900 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 Health Education Specialists?

No exposure score can predict whether AI will replace this role. The 64/100 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

Provide and manage health education programs that help individuals, families, and their communities maximize and maintain healthy lifestyles. Use data to identify community needs prior to planning, implementing, monitoring, and evaluating programs designed to encourage healthy lifestyles, policies, and environments. May link health systems, health providers, insurers, and patients to address individual and population health needs. May serve as resource to assist individuals, other health professionals, or the community, and may administer fiscal resources for health education programs.

Common titles
Clinical InstructorHealth Education SpecialistHealth EducatorPublic Health EducatorCertified Diabetes EducatorCommunity Health Consultant
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
SpeakingWritingActive LearningSocial PerceptivenessCritical ThinkingReading Comprehension
Work context
Frequent contact with othersDecision latitudeIndoor controlled settingRepeating tasks

Source: O*NET 29.1 exact occupation - Health Education Specialists, SOC 21-1091.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Health Education Specialists tasks, by AI exposure

Automatable
  • Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.
  • Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs.
Augmentable
  • Develop, conduct, or coordinate health needs assessments and other public health surveys.
  • Develop and maintain cooperative working relationships with agencies and organizations interested in public health care.
7 more augmentable tasks locked in the report.
Durable
  • Collaborate with health specialists and civic groups to determine community health needs and the availability of services and to develop goals for meeting needs.
  • Develop, prepare, and coordinate grant applications and grant-related activities to obtain funding for health education programs and related work.
3 more durable tasks locked in the report.

We analyzed all 16 Health Education Specialists tasks - 2 automatable, 9 augmentable and 5 durable. 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.

Community Health Workers
80% skills overlap; 9 points lower - lower exposure; Elevated band; ~US$51,850
View path
55
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.

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

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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.

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Health Education Specialists - median pay by US state (BLS OEWS, USD)

California: US$63,610New York: US$62,560Texas: US$59,340Florida: US$46,360

Median annual wage, in USD. US national: US$64,070. More states are being added.

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