Occupation · SOC 29-1141.04
Direct nursing staff in the provision of patient care in a clinical practice setting, such as a hospital, hospice, clinic, or home. Ensure adherence to established clinical policies, protocols, regulations, and standards.
Also called: APN (Advanced Practice Nurse) · CNS (Clinical Nurse Specialist) · Critical Care CNS (Critical Care Clinical Nurse Specialist) · Neuroscience Clinical Nurse Specialist (Neuroscience CNS) · Board Certified Clinical Nurse Specialist (CNS-BC) · Emergency Clinical Nurse Specialist (Emergency CNS) · ICU CNS (Intensive Care Unit Clinical Nurse Specialist) · Pediatric Clinical Nurse Specialist (Pediatric CNS) · Psychiatric Adult Clinical Nurse Specialist (Psychiatric Adult CNS) · Trauma ICU CNS (Trauma Intensive Care Unit Clinical Nurse Specialist) · Adult Health Clinical Nurse Specialist (Adult Health CNS) · Clinical Ambulatory Nurse
Job family: Healthcare Practitioners and Technical Occupations
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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 most often handled directively in observed AI conversations — candidates to delegate with light review.
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.
53rd-percentile task overlap — yet about 189,100 openings a year (+4.9% projected, BLS), and observed AI use leans 5522% 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 | 69th | 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.
| Design patient education programs that include information required to make informed health care and treatment decisions. | 4.3% | |
| Present clients with information required to make informed health care and treatment decisions. | 0.9% | |
| Make clinical recommendations to physicians, other health care providers, insurance companies, patients, or health care organizations. | 0.5% | |
| Prepare reports to document patients' care activities. | 0.5% | |
| Teach patient education programs that include information required to make informed health care and treatment decisions. | 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 | 55.2% working with AI · 35.3% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 31.0% |
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 |
|---|---|---|
| Teach patient education programs that include information required to make informed health care and treatment decisions. | Directive | 2.6% |
| Prepare reports to document patients' care activities. | Directive | 1.6% |
| Present clients with information required to make informed health care and treatment decisions. | Learning | 1.3% |
| Design patient education programs that include information required to make informed health care and treatment decisions. | Learning | 1.2% |
| Develop and maintain departmental policies, procedures, objectives, or patient care standards based on evidence-based practice guidelines or expert opinion. | — | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Present clients with information required to make informed health care and treatment decisions. | 97.7% | |
| Prepare reports to document patients' care activities. | 95.6% | |
| Design patient education programs that include information required to make informed health care and treatment decisions. | 94.1% | |
| Teach patient education programs that include information required to make informed health care and treatment decisions. | 91.9% | |
| Develop and maintain departmental policies, procedures, objectives, or patient care standards based on evidence-based practice guidelines or expert opinion. | 83.3% |
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 teach patient education programs that include information required to make informed health care and treatment decisions. From: Teach patient education programs that include information required to make informed health care and treatment decisions. · 2.6% of measured AI use · directive
Help me prepare reports to document patients' care activities. From: Prepare reports to document patients' care activities. · 1.6% of measured AI use · directive
Help me present clients with information required to make informed health care and treatment decisions. From: Present clients with information required to make informed health care and treatment decisions. · 1.3% of measured AI use · learning
Help me design patient education programs that include information required to make informed health care and treatment decisions. From: Design patient education programs that include information required to make informed health care and treatment decisions. · 1.2% of measured AI use · learning
All 30 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).
| Speaking | 4.1 | |
| Reading Comprehension | 4.0 | |
| Critical Thinking | 4.0 | |
| Active Learning | 4.0 | |
| Monitoring | 4.0 | |
| Active Listening | 3.9 | |
| Writing | 3.9 | |
| Learning Strategies | 3.6 |
| Oral Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Written Comprehension | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Speech Clarity | 4.0 | |
| Speech Recognition | 3.9 | |
| Information Ordering | 3.8 | |
| Category Flexibility | 3.8 | |
| Near Vision | 3.6 | |
| Selective Attention | 3.3 |
| Social Perceptiveness | 4.0 | |
| Service Orientation | 4.0 | |
| Judgment and Decision Making | 4.0 | |
| Coordination | 3.9 | |
| Complex Problem Solving | 3.9 | |
| Persuasion | 3.6 | |
| Time Management | 3.6 | |
| Instructing | 3.5 | |
| Systems Evaluation | 3.1 | |
| Management of Personnel Resources | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
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 | 85.7% | |
| Post-Master's Certificate | 4.8% | |
| First Professional Degree | 4.8% | |
| Doctoral Degree | 4.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Social Orientation | 10.0 | |
| Self-Control | 9.0 | |
| Stress Tolerance | 8.0 | |
| Empathy | 7.0 | |
| Perseverance | 6.0 | |
| Adaptability | 5.0 | |
| Leadership Orientation | 4.0 |
| Health Care Service | 6.6 | |
| Professional Advising | 6.0 | |
| Social Service | 5.5 | |
| Medical Science | 5.0 | |
| Teaching/Education | 4.7 | |
| Management/Administration | 4.5 |
| Social | 6.2 | |
| Investigative | 4.9 | |
| Conventional | 4.0 |
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 Clinical Nurse Specialists — 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.
Clinical Nurse Specialists show 53rd-percentile AI task overlap — and about 189,100 annual U.S. openings
Clinical Nurse Specialists show 53rd-percentile AI task overlap — and about 189,100 annual U.S. openings • Clinical Nurse Specialists rank in the 53rd 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, 55% 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 — "Clinical Nurse Specialists". https://singulariki.com/roles/role-29-1141-04 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. "Clinical Nurse Specialists." 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-29-1141-04
Singulariki. (2026). Clinical Nurse Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1141-04
@misc{singulariki-role-29-1141-04,
title = {Clinical Nurse Specialists},
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-29-1141-04}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.