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.
- Evaluate the effectiveness of prescribed risk reduction measures or other interventions.74
- Direct public health education programs dealing with topics such as preventable diseases, injuries, nutrition, food service sanitation, water supply safety, sewage and waste disposal, insect control, and immunizations.72
- Identify groups at risk for specific preventable diseases or injuries.72
- Prepare preventive health reports, including problem descriptions, analyses, alternative solutions, and recommendations.72
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.
- Perform epidemiological investigations of acute and chronic diseases.01
- Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine.02
- Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members.03
- Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks.04
- Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
General Internal Medicine Physicians
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Closely related work
Compare these careers →Obstetricians and Gynecologists
Related work
Compare these careers →Epidemiologists
Related work
Compare these careers →Adoption and labour-market outlook
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.
