Will AI replace Health Education Specialists?
Work in Health Education Specialists sits in the in-between: AI reaches some of it (~53% in theory) but is only measured doing about 14% today — part human, part machine.
O*NET-SOC 21-1091
How your 15 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~53%). By late 2025, real-world AI use had reached about 14% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~53%), but real-world use is only ~14%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 15 tasks, ratedBased on real task-level AI scores — click to collapse
- Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns.
- Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs.
- Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.
- Provide program information to the public by preparing and presenting press releases, conducting media campaigns, or maintaining program-related Web sites.
- Develop and present health education and promotion programs, such as training workshops, conferences, and school or community presentations.
- Develop, conduct, or coordinate health needs assessments and other public health surveys.
- Develop operational plans and policies necessary to achieve health education objectives and services.
- Develop and maintain health education libraries to provide resources for staff and community agencies.
- Design and conduct evaluations and diagnostic studies to assess the quality and performance of health education programs.
- Develop, prepare, and coordinate grant applications and grant-related activities to obtain funding for health education programs and related work.
- Provide guidance to agencies and organizations on assessment of health education needs and on development and delivery of health education programs.
- Design and administer training programs for new employees and continuing education for existing employees.
- Develop and maintain cooperative working relationships with agencies and organizations interested in public health care.
- Collaborate with health specialists and civic groups to determine community health needs and the availability of services and to develop goals for meeting needs.
- Supervise professional and technical staff in implementing health programs, objectives, and goals.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.