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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Psychiatrists are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Psychiatry is labeled as "Resilient" because its core work relies heavily on human skills like empathy, judgment, and deep understanding of human emotions, which AI cannot replicate. While AI tools can assist with routine paperwork, such as drafting session notes, they still require human oversight to ensure accuracy and context.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
Psychiatry is labeled as "Resilient" because its core work relies heavily on human skills like empathy, judgment, and deep understanding of human emotions, which AI cannot replicate. While AI tools can assist with routine paperwork, such as drafting session notes, they still require human oversight to ensure accuracy and context.
Read full analysisAnalysis of Current AI Resilience
Psychiatrists
Updated Quarterly • Last Update: 2/17/2026

Some routine paperwork in psychiatry is starting to use AI. For example, new “AI scribe” tools can listen to doctor-patient interviews and draft session notes [1] [1]. These systems turn speech into written summaries, and psychiatrists then review and edit the notes [1].
Small pilot studies found scribes could reduce the hours doctors spend on electronic health records each day by a bit, but not all studies saw a big benefit [1]. Importantly, AI scribes still make mistakes and miss body language or tone, so human doctors must check them [1] [1].
Other tasks are not yet automated. We did not find examples of AI teaching classes or writing research papers for psychiatrists – doctors still read new studies and write their own reports. Treating patients with medicine or therapy is mostly a human job. (There are chatbots that talk about moods, but experts warn these can be unsafe without a real doctor watching over them [2].) In short, AI today mostly helps with note-taking and paperwork, while the caring, judgment side of psychiatry stays with people.

Psychiatry faces a big human need – about one in four Americans has a mental health issue and many lack enough doctors [3]. In theory, AI could help busy psychiatrists by handling time-consuming tasks. But putting these tools in place is still slow.
Commercial AI scribes exist, but they cost money and time to learn [1]. Not all clinics saw clear gains from them, so some psychiatrists wonder if it’s worth it [1].
Social and ethical issues also slow down use. Mental health data is very private, so any AI must follow strict laws (like HIPAA) [1]. Doctors and patients worry about errors.
For example, a major report said popular chatbots are “fundamentally unsafe” for helping teens with mental health [2]. Because of these concerns, any new AI tools are being tried carefully. In the future, AI may help more with dull paperwork, so psychiatrists can spend extra time listening and deciding treatment – something machines still can’t do well on their own.

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They help people with mental health issues by diagnosing their problems and providing treatments, like therapy or medication, to improve their well-being.
Median Wage
>=$239,200
Jobs (2024)
27,100
Growth (2024-34)
+6.1%
Annual Openings
900
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Prescribe, direct, or administer psychotherapeutic treatments or medications to treat mental, emotional, or behavioral disorders.
Serve on committees to promote or maintain community mental health services or delivery systems.
Advise or inform guardians, relatives, or significant others of patients' conditions or treatment.
Examine or conduct laboratory or diagnostic tests on patients to provide information on general physical condition or mental disorder.
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.
Review and evaluate treatment procedures and outcomes of other psychiatrists or medical professionals.
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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