How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Provide program information to the public by preparing and presenting press releases, conducting media campaigns, or maintaining program-related Web sites.74
- Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns.73
- Develop and present health education and promotion programs, such as training workshops, conferences, and school or community presentations.73
- Develop educational materials and programs for community agencies, local government, and state government.73
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.01
- Develop and maintain cooperative working relationships with agencies and organizations interested in public health care.02
- Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs.03
- Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns.04
- Supervise professional and technical staff in implementing health programs, objectives, and goals.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
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Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
