Community Sentiment
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AI Automation Index
Will AI Replace Health Education Specialists?
Task-level automation exposure for Health Education Specialists: 16 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
49%
weighted task index
16 of 16 tasks scored
Median Salary
$64,070 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
65,690 people hold this job — size, not growth
Projected 2025–35
+5.6%
employment change
6,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$39,650 – $104,470
Highest medians
Maryland $104,470
District of Columbia $103,330
Georgia $99,400
Pennsylvania $80,670
Minnesota $78,400
Lowest medians
Puerto Rico $39,650
Florida $46,360
Tennessee $49,630
Mississippi $51,020
Montana $51,200
State figures come from the 21-1091 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 49%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 53%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 20%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 4/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 20%
3 tasks
Medium exposure (≥ 35%) 65%
11 tasks
Low exposure (below 35%) 14%
2 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#20236 · Core · 35% automatable
Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns.
interpersonal — Community outreach and physical material distribution
Provide educational materials to community members.
#9218 · Core · 30% automatable
Develop and maintain cooperative working relationships with agencies and organizations interested in public health care.
interpersonal — Facilitating program relationships is human networking
Develop working relationships with others to facilitate program activities.
#9222 · Core · 68% automatable
Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs.
text generation — Maintain program records; human owns compliance
Maintain social services program records.
#9216 · Core · 68% automatable
Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.
text generation — Maintain program records; human owns compliance
Maintain social services program records.
#9217 · Core · 50% automatable
Develop and present health education and promotion programs, such as training workshops, conferences, and school or community presentations.
text generation — Program info drafted; public presentation human
Plan programs to address community health issues. Present social services program information to the public.
#9221 · Core · 55% automatable
Collaborate with health specialists and civic groups to determine community health needs and the availability of services and to develop goals for meeting needs.
decision support — Needs community engagement and situated judgment
Assess individual or community needs for educational or social services.
#9229 · Core · 53% automatable
Develop, conduct, or coordinate health needs assessments and other public health surveys.
decision support — Diagnostic tools drafted; validation and ethics human
Collect information about community health needs. Develop tools to diagnose or assess needs.
#9223 · Core · 28% automatable
Supervise professional and technical staff in implementing health programs, objectives, and goals.
interpersonal — Client/patient service supervision is relational
Supervise workers providing client or patient services.
#9220 · Core · 55% automatable
Develop operational plans and policies necessary to achieve health education objectives and services.
text generation — Drafts policy text; political and legal adoption human
Develop educational policies.
#9225 · Core · 55% automatable
Provide program information to the public by preparing and presenting press releases, conducting media campaigns, or maintaining program-related Web sites.
text generation — Program info drafted; public presentation human
Present social services program information to the public.
#9228 · Core · 35% automatable
Develop and maintain health education libraries to provide resources for staff and community agencies.
interpersonal — Community outreach and physical material distribution
Provide educational materials to community members.
#9224 · Core · 60% automatable
Design and conduct evaluations and diagnostic studies to assess the quality and performance of health education programs.
data analysis — Outcome data analysis with human interpretation
Evaluate the effectiveness of counseling or educational programs. Develop tools to diagnose or assess needs.
#9226 · Core · 55% automatable
Develop, prepare, and coordinate grant applications and grant-related activities to obtain funding for health education programs and related work.
text generation — Draft grant text; human owns strategy and budget
Write grant proposals. Prepare proposals or grant applications to obtain project funding.
#9227 · Core · 55% automatable
Provide guidance to agencies and organizations on assessment of health education needs and on development and delivery of health education programs.
interpersonal — Sensitive social advice needs human relationship
Advise others on social or educational issues.
#20237 · Core · 43% automatable
Design and administer training programs for new employees and continuing education for existing employees.
decision support — Drafts program outlines; institutional design and approval human
Develop educational programs. Train staff members in social services skills.
#20235 · Supplemental · 45% automatable
Develop educational materials and programs for community agencies, local government, and state government.
decision support — Drafts health program plans; stakeholder and epidemiological judgment human
Plan programs to address community health issues.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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