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Healthcare · Updated Aug 2026

Family Medicine Physicians

Diagnose, treat, and provide preventive care to individuals and families across the lifespan. May refer patients to specialists when needed for further diagnosis or treatment.

JVS 2.0.0-phase4b
AI Exposure
62/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
55/100
Moderate

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

Evidence quality
Confidence84/100
Task coverage92%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury.High
73
Explain procedures and discuss test results or prescribed treatments with patients.High
71
Collect, record, and maintain patient information, such as medical history, reports, or examination results.High
65
Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition.High
65
Monitor patients' conditions and progress and reevaluate treatments as necessary.High
53
Advise patients and community members concerning diet, activity, hygiene, and disease prevention.High
55
Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.High
55
Coordinate work with nurses, social workers, rehabilitation therapists, pharmacists, psychologists, and other health care providers.High
64
Refer patients to medical specialists or other practitioners when necessary.High
55
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury.73
  2. Explain procedures and discuss test results or prescribed treatments with patients.71
  3. Collect, record, and maintain patient information, such as medical history, reports, or examination results.65
  4. Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition.65
Hardest to automate

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.

  1. Coordinate work with nurses, social workers, rehabilitation therapists, pharmacists, psychologists, and other health care providers.01
  2. Collect, record, and maintain patient information, such as medical history, reports, or examination results.02
  3. Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition.03
  4. Monitor patients' conditions and progress and reevaluate treatments as necessary.04
  5. Advise patients and community members concerning diet, activity, hygiene, and disease prevention.05
Where else this work leads

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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Beyond AI capability

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.

Human dependency51
Physical dependency39
Adoption pressure63
Labour-market resilience71
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence84/100
CalculatedAug 21, 2026
Read methodology →