Explore the rankings
Healthcare · Updated Aug 2026

Psychiatrists

Diagnose, treat, and help prevent mental disorders.

JVS 2.0.0-phase4b
AI Exposure
64/100
High

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

Replacement Risk
54/100
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 coverage88%

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, direct, or administer psychotherapeutic treatments or medications to treat mental, emotional, or behavioral disorders.High
69
Gather and maintain patient information and records, including social or medical history obtained from patients, relatives, or other professionals.High
67
Collaborate with physicians, psychologists, social workers, psychiatric nurses, or other professionals to discuss treatment plans and progress.High
67
Design individualized care plans, using a variety of treatments.High
68
Analyze and evaluate patient data or test findings to diagnose nature or extent of mental disorder.High
65
Examine or conduct laboratory or diagnostic tests on patients to provide information on general physical condition or mental disorder.High
49
Advise or inform guardians, relatives, or significant others of patients' conditions or treatment.High
58
Review and evaluate treatment procedures and outcomes of other psychiatrists or medical professionals.Medium
72
Teach, take continuing education classes, attend conferences or seminars, or conduct research and publish findings to increase understanding of mental, emotional, or behavioral states or disorders.Medium
62
Prepare and submit case reports or summaries to government or mental health agencies.Medium
69
Most exposed

Where AI can do more

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

  1. Review and evaluate treatment procedures and outcomes of other psychiatrists or medical professionals.72
  2. Prescribe, direct, or administer psychotherapeutic treatments or medications to treat mental, emotional, or behavioral disorders.69
  3. Prepare and submit case reports or summaries to government or mental health agencies.69
  4. Design individualized care plans, using a variety of treatments.68
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. Prescribe, direct, or administer psychotherapeutic treatments or medications to treat mental, emotional, or behavioral disorders.01
  2. Collaborate with physicians, psychologists, social workers, psychiatric nurses, or other professionals to discuss treatment plans and progress.02
  3. Design individualized care plans, using a variety of treatments.03
  4. Teach, take continuing education classes, attend conferences or seminars, or conduct research and publish findings to increase understanding of mental, emotional, or behavioral states or disorders.04
  5. Prepare and submit case reports or summaries to government or mental health agencies.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.

See all rankings →
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 dependency60
Physical dependency29
Adoption pressure48
Labour-market resilience65
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 →