BETA
Updated: Mar 20
BETA
Updated: Mar 20
Stable
Last Update: 3/13/2026
Your role’s AI Resilience Score is
81.5%
Median Score
Changing Fast
Evolving
Stable
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.
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.
This role is stable
A career in psychiatry is considered "Stable" because the most critical parts of the job, like caring for patients and making treatment decisions, require human empathy and judgment that AI cannot replace. While AI can help with routine tasks like taking notes, it still makes mistakes and requires psychiatrists to review and correct its work.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is stable
A career in psychiatry is considered "Stable" because the most critical parts of the job, like caring for patients and making treatment decisions, require human empathy and judgment that AI cannot replace. While AI can help with routine tasks like taking notes, it still makes mistakes and requires psychiatrists to review and correct its work.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Stable96.7%
96.7%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Evolving44.9%
44.9%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Stable92.8%
92.8%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Stable88.1%
88.1%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
6.1%
Growth Percentile:
81.4%
Annual Openings:
900
Annual Openings Pct:
10.2%
Analysis of Current AI Resilience
Psychiatrists
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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.
Sources
AI in the real world
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.
Sources
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More Career Info
Career: Psychiatrists
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Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Serve on committees to promote or maintain community mental health services or delivery systems.
2
Advise or inform guardians, relatives, or significant others of patients' conditions or treatment.
3
Prescribe, direct, or administer psychotherapeutic treatments or medications to treat mental, emotional, or behavioral disorders.
4
Review and evaluate treatment procedures and outcomes of other psychiatrists or medical professionals.
5
Examine or conduct laboratory or diagnostic tests on patients to provide information on general physical condition or mental disorder.
6
Prepare and submit case reports or summaries to government or mental health agencies.
7
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.
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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