Occupation · SOC 29-1141.02
Assess, diagnose, and treat individuals and families with mental health or substance use disorders or the potential for such disorders. Apply therapeutic activities, including the prescription of medication, per state regulations, and the administration of psychotherapy.
Also called: Advanced Practice Psychiatric Nurse · PMHNP (Psychiatric-Mental Health Nurse Practitioner) · Psychiatric Clinical Nurse Specialist (Psychiatric CNS) · Psychiatric NP (Psychiatric Nurse Practitioner) · APN (Advanced Practice Nurse) · Adult Psychiatric Mental Health APRN (Adult Psychiatric Mental Health Advanced Practice Registered Nurse) · Board Certified Psychiatric Mental Health Clinical Nurse Specialist (BC PMH-CNS) · Psychiatric APN (Psychiatric Advanced Practice Nurse) · Psychiatric Provider · Psychiatry APRN (Psychiatry Advanced Practice Registered Nurse) · Adult PMHNP (Adult Psychiatric Mental Health Nurse Practitioner) · Advanced Practice Provider (APP)
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1141-02/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
54th-percentile task overlap — yet about 189,100 openings a year (+4.9% projected, BLS), and observed AI use leans 6669% copilot, not hand-off (AEI) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 55th | 0.2 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 70th | 0.8 | |
| AI assistant applicability (Microsoft) Moderate | 39th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Direct or provide home health services. | 7.3% | |
| Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. | 2.6% | |
| Document patients' medical and psychological histories, physical assessment results, diagnoses, treatment plans, prescriptions, or outcomes. | 0.4% | |
| Develop and implement treatment plans. | 0.2% | |
| Treat patients for routine physical health problems. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.9% by 2034 |
| Projected annual openings | 189,100 |
| Employment 2024 → 2034 | 3,391,000 → 3,557,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Nursing Professionals · 2221 | 25% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 66.7% working with AI · 26.1% handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 7.9% |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Direct or provide home health services. | Learning | 9.4% |
| Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. | Learning | 6.5% |
| Interpret diagnostic or laboratory tests such as electrocardiograms (EKGs) and renal functioning tests. | Learning | 1.1% |
| Teach classes in mental health topics such as stress reduction. | Learning | 0.9% |
| Develop and implement treatment plans. | Iteration | 0.7% |
| Monitor patients' medication usage and results. | Learning | 0.4% |
| Assess patients' mental and physical status based on the presenting symptoms and complaints. | Learning | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Direct or provide home health services. | 96.9% | |
| Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. | 96.8% | |
| Teach classes in mental health topics such as stress reduction. | 95.7% | |
| Monitor patients' medication usage and results. | 86.5% | |
| Assess patients' mental and physical status based on the presenting symptoms and complaints. | 84.4% | |
| Develop and implement treatment plans. | 82.9% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me direct or provide home health services. From: Direct or provide home health services. · 9.4% of measured AI use · learning
Help me educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. From: Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. · 6.5% of measured AI use · learning
Help me interpret diagnostic or laboratory tests such as electrocardiograms (EKGs) and renal functioning tests. From: Interpret diagnostic or laboratory tests such as electrocardiograms (EKGs) and renal functioning tests. · 1.1% of measured AI use · learning
Help me teach classes in mental health topics such as stress reduction. From: Teach classes in mental health topics such as stress reduction. · 0.9% of measured AI use · learning
All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Psychology | 5.0 | |
| Therapy and Counseling | 4.7 | |
| English Language | 4.6 | |
| Medicine and Dentistry | 4.5 | |
| Biology | 4.3 | |
| Sociology and Anthropology | 4.1 | |
| Education and Training | 3.9 | |
| Customer and Personal Service | 3.8 | |
| Law and Government | 3.4 |
| Problem Sensitivity | 4.6 | |
| Oral Comprehension | 4.3 | |
| Oral Expression | 4.3 | |
| Written Comprehension | 4.1 | |
| Deductive Reasoning | 4.1 | |
| Written Expression | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Speech Recognition | 4.0 | |
| Speech Clarity | 4.0 | |
| Information Ordering | 3.9 | |
| Near Vision | 3.8 | |
| Category Flexibility | 3.5 | |
| Fluency of Ideas | 3.4 |
| Active Listening | 4.4 | |
| Speaking | 4.1 | |
| Reading Comprehension | 4.0 | |
| Writing | 4.0 | |
| Critical Thinking | 4.0 | |
| Monitoring | 4.0 | |
| Active Learning | 3.9 | |
| Learning Strategies | 3.8 |
| Social Perceptiveness | 4.3 | |
| Judgment and Decision Making | 4.0 | |
| Time Management | 4.0 | |
| Complex Problem Solving | 3.9 | |
| Coordination | 3.8 | |
| Instructing | 3.8 | |
| Service Orientation | 3.8 | |
| Persuasion | 3.6 | |
| Negotiation | 3.6 | |
| Systems Analysis | 3.4 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 42.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Master's Degree | 87.0% | |
| Doctoral Degree | 8.7% | |
| First Professional Degree | 4.3% |
The interests and personal qualities O*NET associates with people who do this work.
| Cautiousness | 10.0 | |
| Intellectual Curiosity | 9.0 | |
| Cooperation | 8.0 | |
| Social Orientation | 7.0 | |
| Self-Control | 6.0 | |
| Stress Tolerance | 5.0 | |
| Empathy | 4.0 |
| Health Care Service | 6.5 | |
| Social Service | 6.2 | |
| Social Science | 5.9 | |
| Medical Science | 4.8 | |
| Professional Advising | 4.0 | |
| Teaching/Education | 3.8 |
| Social | 6.1 | |
| Investigative | 5.9 | |
| Conventional | 3.4 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $66,030 |
| 25th percentile | $78,610 |
| Median (50th) | $93,600 |
| 75th percentile | $107,960 |
| 90th percentile | $135,320 |
| People employed | 3,282,010 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 29-1141), not for the specialty alone.
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 2,790,380 | $93,170 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 134,180 | $95,870 |
| Temporary Help Services · National industry | 105,740 | $96,220 |
| Educational Services · Sector | 89,070 | $74,360 |
| Finance and Insurance · Sector | 48,100 | $89,650 |
| Direct Health and Medical Insurance Carriers · National industry | 34,380 | $91,370 |
| Management of Companies and Enterprises · Sector | 21,530 | $95,070 |
| Services for the Elderly and Persons with Disabilities · National industry | 17,710 | $79,700 |
| Professional, Scientific, and Technical Services · Sector | 14,310 | $96,360 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 13,130 | $78,030 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 12,230 | $81,940 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 7,670 | $77,780 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Health Care and Social Assistance · Sector | 5.67× | 2,790,380 |
| Direct Health and Medical Insurance Carriers · National industry | 3.6× | 34,380 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 2.22× | 12,230 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 1.99× | 13,130 |
| Temporary Help Services · National industry | 1.87× | 105,740 |
| Ambulance Services · National industry | 1.23× | 4,310 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 0.93× | 7,670 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.7× | 134,180 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Advanced Practice Psychiatric Nurses — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 47th percentile of 427 international occupations.
Advanced Practice Psychiatric Nurses show 54th-percentile AI task overlap — and about 189,100 annual U.S. openings
Advanced Practice Psychiatric Nurses show 54th-percentile AI task overlap — and about 189,100 annual U.S. openings • Advanced Practice Psychiatric Nurses rank in the 54th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 189,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $93,600, across about 3,282,010 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 67% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Advanced Practice Psychiatric Nurses". https://singulariki.com/roles/role-29-1141-02 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Advanced Practice Psychiatric Nurses." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1141-02
Singulariki. (2026). Advanced Practice Psychiatric Nurses. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1141-02
@misc{singulariki-role-29-1141-02,
title = {Advanced Practice Psychiatric Nurses},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-1141-02}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.