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.
- Prescribe or administer therapy, medication, and other specialized medical care to treat or prevent illness, disease, or injury.73
- Explain procedures and discuss test results or prescribed treatments with patients.71
- Care for and treat women during prenatal, natal, and postnatal periods.68
- Consult with or provide consulting services to other physicians.68
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.
- Care for and treat women during prenatal, natal, and postnatal periods.01
- Consult with or provide consulting services to other physicians.02
- Analyze records, reports, test results, or examination information to diagnose medical condition of patient.03
- Collect, record, and maintain patient information, such as medical histories, reports, or examination results.04
- Monitor patients' conditions and progress and reevaluate treatments as necessary.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
Closely related work
Compare these careers →Pediatricians, General
Closely related work
Compare these careers →Family Medicine Physicians
Closely related work
Compare these careers →Urologists
Related work
Compare these careers →Neurologists
Related work
Compare these careers →Anesthesiologists
Shares some 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.
