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Healthcare · Updated Aug 2026

Pediatricians, General

Diagnose, treat, and help prevent diseases and injuries in children. May refer patients to specialists for further diagnosis or treatment, as needed.

JVS 2.0.0-phase4b
AI Exposure
54/100
Moderate

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

Replacement Risk
51/100
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
Confidence83/100
Task coverage89%

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 in infants and children.High
74
Collect, record, and maintain patient information, such as medical history, reports, or examination results.High
66
Explain procedures and discuss test results or prescribed treatments with patients and parents or guardians.High
71
Examine patients or order, perform, and interpret diagnostic tests to obtain information on medical condition and determine diagnosis.High
58
Advise patients, parents or guardians, and community members concerning diet, activity, hygiene, and disease prevention.High
55
Monitor patients' conditions and progress and reevaluate treatments as necessary.High
55
Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.High
57
Examine children regularly to assess their growth and development.High
37
Refer patient to medical specialist or other practitioner when necessary.High
56
Plan and execute medical care programs to aid in the mental and physical growth and development of children and adolescents.High
43
Treat children who have minor illnesses, acute and chronic health problems, and growth and development concerns.High
21
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 in infants and children.74
  2. Explain procedures and discuss test results or prescribed treatments with patients and parents or guardians.71
  3. Collect, record, and maintain patient information, such as medical history, reports, or examination results.66
  4. Examine patients or order, perform, and interpret diagnostic tests to obtain information on medical condition and determine diagnosis.58
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. Treat children who have minor illnesses, acute and chronic health problems, and growth and development concerns.01
  2. Examine children regularly to assess their growth and development.02
  3. Plan and execute medical care programs to aid in the mental and physical growth and development of children and adolescents.03
  4. Collect, record, and maintain patient information, such as medical history, reports, or examination results.04
  5. Examine patients or order, perform, and interpret diagnostic tests to obtain information on medical condition and determine diagnosis.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 dependency57
Physical dependency41
Adoption pressure53
Labour-market resilience71
Methodology & sources

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

Confidence83/100
CalculatedAug 21, 2026
Read methodology →