BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Stable

Last Update: 11/21/2025

Your role’s AI Resilience Score is

71.4%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Psychiatrists

They help people with mental health issues by diagnosing their problems and providing treatments, like therapy or medication, to improve their well-being.

Summary

The career of a psychiatrist is considered "Stable" because the most important parts of the job, like talking with patients and understanding their feelings, need human empathy and judgment that AI can't replace. While AI can help with tasks like organizing paperwork and summarizing notes, these tasks still require human oversight to be accurate.

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Learn more about how you can thrive in this position

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Summary

The career of a psychiatrist is considered "Stable" because the most important parts of the job, like talking with patients and understanding their feelings, need human empathy and judgment that AI can't replace. While AI can help with tasks like organizing paperwork and summarizing notes, these tasks still require human oversight to be accurate.

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Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Stable iconStable

97.4%

97.4%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

44.9%

44.9%

Anthropic's Economic Index

Stable iconStable

99%

99%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

95.3%

95.3%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.1%

Growth Percentile:

81.4%

Annual Openings:

0.9

Annual Openings Pct:

10.2%

Analysis of Current AI Resilience

Psychiatrists

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

In today’s psychiatric practice, AI mostly helps with paperwork, not people. For example, some AI tools can organize and summarize doctors’ notes or highlight key patient data [1] [1]. One review says AI can structure notes and flag details to save time, but the tools still make errors and need a human to check them [1].

Another report finds that AI-driven summarization could cut chart-review time and ease the administrative burden for clinicians [1]. In contrast, core psychiatric work – talking with patients, understanding feelings, and choosing treatments – remains very human. Psychiatrists themselves say technology can’t replace their empathy or judgment [1] [1].

In fact, one study showed doctors preferred human-written summaries over AI-generated ones [1]. Even cutting-edge research (for example, experiments combining AI chat interviews with brain scans) is still years away from real clinics [2]. In short, AI today can assist with records and data, but it does not replace the personal, caring parts of psychiatry [1] [1].

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AI Adoption

AI Adoption

Adopting AI in psychiatry will be a careful process. On the plus side, there is incentive: psychiatrists are expensive and in high demand, so saving even a little of their time could pay off. Doctors spend a large part of the day on notes – one study estimates 34–55% of a workday [1] – so automating paperwork could save money.

Also, many psychiatrists believe AI could improve efficiency and access to care [1]. However, there are big hurdles. Few proven AI products exist for mental health, and clinics must follow strict privacy and medical rules.

Reviews warn that current AI tools in psychiatry are still experimental and need more testing [1]. Patients and families also care about trust: a 2023 survey found 60% of U.S. adults would be uncomfortable if a doctor relied on AI for diagnosis or treatment [3], and 57% said it might hurt the doctor–patient relationship [3]. Many psychiatrists share that caution, preferring human judgment for decisions [1].

In sum, while future tools may help (and experts expect doctors will eventually work with AI [1]), social and legal concerns mean change will be gradual.

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More Career Info

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceCore Task

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.

2

75% ResilienceCore Task

Prescribe, direct, or administer psychotherapeutic treatments or medications to treat mental, emotional, or behavioral disorders.

3

75% ResilienceSupplemental

Serve on committees to promote or maintain community mental health services or delivery systems.

4

65% ResilienceCore Task

Examine or conduct laboratory or diagnostic tests on patients to provide information on general physical condition or mental disorder.

5

65% ResilienceCore Task

Advise or inform guardians, relatives, or significant others of patients' conditions or treatment.

6

65% ResilienceCore Task

Review and evaluate treatment procedures and outcomes of other psychiatrists or medical professionals.

7

55% ResilienceCore Task

Gather and maintain patient information and records, including social or medical history obtained from patients, relatives, or other professionals.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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