Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Record food and fluid intake and output. · 0.8%
Licensed Practical and Licensed Vocational Nurses
Occupation · SOC 29-2061.00
Care for ill, injured, or convalescing patients or persons with disabilities in hospitals, nursing homes, clinics, private homes, group homes, and similar institutions. May work under the supervision of a registered nurse. Licensing required.
Also called: Charge Nurse · Clinic Nurse · Licensed Vocational Nurse (LVN) · Pediatric LPN (Pediatric Licensed Practical Nurse) · Clinic Licensed Practical Nurse (Clinic LPN) · Home Health Licensed Practical Nurse (Home Health LPN) · Office Nurse · Private Duty Nurse · Radiation Oncology Nurse · Triage LPN (Triage Licensed Practical Nurse) · Licensed Care Coordinator (LCC) · Licensed Practical Nurse (LPN)
Job family: Healthcare Practitioners and Technical Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-2061-00/context.md directly.
AI work map
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.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Assist in delivery, care, or feeding of infants. · 0.3%
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Record food and fluid intake and output. · 100.0% need a human
- Assist in delivery, care, or feeding of infants. · 100.0% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+2.6% by 2034)
- 54,400 openings/yr
- Low AI exposure
- Observed AI use leans augmentation
- Median pay $62,340/yr
- Work is mostly on-site (not teleworkable)
25th-percentile task overlap — yet about 54,400 openings a year (+2.6% projected, BLS), and observed AI use leans 3784% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
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.
Exposure to current AI
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 | 35th | -0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 39th | 0.4 | |
| AI assistant applicability (Microsoft) Low | 6th | 0.0 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.4). 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.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.1 · 24th percentile among occupations · Low
How AI is actually used in this job
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.
| Work as part of a healthcare team to assess patient needs, plan and modify care, and implement interventions. | 0.3% | |
| Record food and fluid intake and output. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.6% by 2034 |
| Projected annual openings | 54,400 |
| Employment 2024 → 2034 | 651,400 → 668,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
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.
Licensed Practical and Licensed Vocational Nurses sits at the 39th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
22% mean task exposure (2025)
39th percentile of 427 placed occupations
−3 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Nursing Associate Professionals · 3221 | 22% | Minimal |
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.
Working with AI in this job
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 | 37.8% working with AI · 37.8% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
What people delegate to AI
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 |
|---|---|---|
| Record food and fluid intake and output. | Directive | 0.8% |
| Assist in delivery, care, or feeding of infants. | Learning | 0.3% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Record food and fluid intake and output. | 100.0% | |
| Assist in delivery, care, or feeding of infants. | 100.0% |
What people most often hand AI here
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 record food and fluid intake and output.From: Record food and fluid intake and output. · 0.8% of measured AI use · directive
-
Help me assist in delivery, care, or feeding of infants.From: Assist in delivery, care, or feeding of infants. · 0.3% of measured AI use · learning
Tasks
All 23 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Observe patients, charting and reporting changes in patients' conditions, such as adverse reactions to medication or treatment, and taking any necessary action. Core · importance 4.7
- Measure and record patients' vital signs, such as height, weight, temperature, blood pressure, pulse, or respiration. Core · importance 4.5
- Administer prescribed medications or start intravenous fluids, noting times and amounts on patients' charts. Core · importance 4.5
- Provide basic patient care or treatments, such as taking temperatures or blood pressures, dressing wounds, treating bedsores, giving enemas or douches, rubbing with alcohol, massaging, or performing catheterizations. Core · importance 4.5
- Answer patients' calls and determine how to assist them. Core · importance 4.4
- Provide medical treatment or personal care to patients in private home settings, such as cooking, keeping rooms orderly, seeing that patients are comfortable and in good spirits, or instructing family members in simple nursing tasks. Supplemental · importance 4.4
- Supervise nurses' aides or assistants. Core · importance 4.4
- Sterilize equipment and supplies, using germicides, sterilizer, or autoclave. Supplemental · importance 4.4
- Evaluate nursing intervention outcomes, conferring with other healthcare team members as necessary. Core · importance 4.3
- Work as part of a healthcare team to assess patient needs, plan and modify care, and implement interventions. Core · importance 4.3
- Assemble and use equipment, such as catheters, tracheotomy tubes, or oxygen suppliers. Core · importance 4.2
- Record food and fluid intake and output. Core · importance 4.2
- Make appointments, keep records, or perform other clerical duties in doctors' offices or clinics. Supplemental · importance 4.2
- Collect samples, such as blood, urine, or sputum from patients, and perform routine laboratory tests on samples. Core · importance 4.2
- Prepare or examine food trays for conformance to prescribed diet. Core · importance 4.1
- Help patients with bathing, dressing, maintaining personal hygiene, moving in bed, or standing and walking. Core · importance 4.1
- Prepare patients for examinations, tests, or treatments and explain procedures. Core · importance 4.0
- Set up equipment and prepare medical treatment rooms. Supplemental · importance 4.0
- Apply compresses, ice bags, or hot water bottles. Core · importance 4.0
- Wash and dress bodies of deceased persons. Supplemental · importance 3.7
- Clean rooms and make beds. Supplemental · importance 3.6
- Inventory and requisition supplies and instruments. Supplemental · importance 3.6
- Assist in delivery, care, or feeding of infants. Supplemental
Work activities
- Monitor patient conditions during treatments, procedures, or activities.
- Record patient medical histories.
- Administer intravenous medications.
- Provide basic information to guests, visitors, or clients.
- Answer telephones to direct calls or provide information.
- Measure the physical or physiological attributes of patients.
- Administer basic health care or medical treatments.
- Apply bandages, dressings, or splints.
- Assist patients with hygiene or daily living activities.
- Supervise patient care personnel.
- Collaborate with healthcare professionals to plan or provide treatment.
- Analyze quantitative data to determine effectiveness of treatments or therapies.
- Prepare medical supplies or equipment for use.
- Operate diagnostic or therapeutic medical instruments or equipment.
- Test biological specimens to gather information about patient conditions.
- Collect biological specimens from patients.
- Explain medical procedures or test results to patients or family members.
- Prepare patients physically for medical procedures.
- Manage preparation of special meals or diets.
- Treat patients using physical therapy techniques.
- Clean medical equipment or facilities.
- Maintain inventory of medical supplies or equipment.
- Order medical supplies or equipment.
- Train patients, family members, or caregivers in techniques for managing disabilities or illnesses.
- Sterilize medical equipment or instruments.
- Schedule patient procedures or appointments.
- Maintain medical facility records.
- Perform clerical work in medical settings.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Transferable skills
| Service Orientation | 4.1 | |
| Social Perceptiveness | 4.0 | |
| Coordination | 4.0 | |
| Judgment and Decision Making | 3.6 | |
| Time Management | 3.6 | |
| Complex Problem Solving | 3.3 | |
| Instructing | 3.1 | |
| Systems Analysis | 3.0 |
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Speech Clarity | 3.9 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Near Vision | 3.8 | |
| Speech Recognition | 3.8 | |
| Written Expression | 3.4 | |
| Information Ordering | 3.3 | |
| Category Flexibility | 3.1 | |
| Static Strength | 3.1 | |
| Trunk Strength | 3.1 | |
| Memorization | 3.0 | |
| Flexibility of Closure | 3.0 |
Knowledge
Essential skills
| Active Listening | 3.9 | |
| Speaking | 3.9 | |
| Monitoring | 3.9 | |
| Reading Comprehension | 3.8 | |
| Critical Thinking | 3.8 | |
| Active Learning | 3.4 | |
| Writing | 3.3 | |
| Learning Strategies | 3.1 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
Work context
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.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- Postsecondary nondegree award · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Some College Courses | 38.2% | |
| Post-Secondary Certificate | 34.8% | |
| Associate's Degree (or other 2-year degree) | 15.9% | |
| Bachelor's Degree | 11.1% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 10.0 | |
| Attention to Detail | 9.0 | |
| Integrity | 8.0 | |
| Cautiousness | 7.0 | |
| Cooperation | 6.0 | |
| Social Orientation | 5.0 | |
| Self-Control | 4.0 | |
| Stress Tolerance | 3.0 |
Interest areas
| Health Care Service | 6.5 | |
| Social Service | 4.8 | |
| Personal Service | 3.6 | |
| Medical Science | 3.1 |
Career interests (Holland / RIASEC)
| Social | 5.5 | |
| Realistic | 4.6 | |
| Conventional | 4.6 | |
| Investigative | 3.7 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $47,960 |
| 25th percentile | $55,220 |
| Median (50th) | $62,340 |
| 75th percentile | $73,160 |
| 90th percentile | $80,510 |
| People employed | 632,430 |
Industries that employ this occupation
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 | 543,940 | $61,990 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 30,580 | $75,730 |
| Temporary Help Services · National industry | 22,760 | $76,400 |
| Educational Services · Sector | 13,320 | $52,160 |
| Services for the Elderly and Persons with Disabilities · National industry | 7,170 | $59,710 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 7,140 | $60,590 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 6,680 | $63,770 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 5,650 | $58,460 |
| Management of Companies and Enterprises · Sector | 2,170 | $63,450 |
| Finance and Insurance · Sector | 1,370 | $67,030 |
| Professional, Scientific, and Technical Services · Sector | 1,300 | $66,490 |
| Other Services (except Public Administration) · Sector | 1,190 | $60,070 |
Where this work is most concentrated
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 |
|---|---|---|
| Residential Mental Health and Substance Abuse Facilities · National industry | 6.3× | 6,680 |
| Health Care and Social Assistance · Sector | 5.74× | 543,940 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 4.47× | 7,140 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 4.45× | 5,650 |
| Temporary Help Services · National industry | 2.09× | 22,760 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.83× | 30,580 |
| Services for the Elderly and Persons with Disabilities · National industry | 0.73× | 7,170 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 0.55× | 1,080 |
Related occupations
Part of the Healthcare & Human Services career cluster.
- Registered Nurses · 29-1141.00 Compare →
- Paramedics · 29-2043.00 Compare →
- Nurse Practitioners · 29-1171.00 Compare →
- Acute Care Nurses · 29-1141.01 Compare →
- Nursing Assistants · 31-1131.00 Compare →
- Critical Care Nurses · 29-1141.03 Compare →
- Emergency Medical Technicians · 29-2042.00 Compare →
- Clinical Nurse Specialists · 29-1141.04 Compare →
- Medical Assistants · 31-9092.00 Compare →
- Home Health Aides · 31-1121.00 Compare →
- Nurse Anesthetists · 29-1151.00 Compare →
- Emergency Medicine Physicians · 29-1214.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Licensed Practical and Licensed Vocational Nurses — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Postsecondary nondegree award · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Health Professions and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 39th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Licensed Practical and Licensed Vocational Nurses show 25th-percentile AI task overlap — and about 54,400 annual U.S. openings
- Licensed Practical and Licensed Vocational Nurses rank in the 25th percentile (Low 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 54,400 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 (+2.6%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $62,340, across about 632,430 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 38% 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
Copy the whole kit
Licensed Practical and Licensed Vocational Nurses show 25th-percentile AI task overlap — and about 54,400 annual U.S. openings • Licensed Practical and Licensed Vocational Nurses rank in the 25th percentile (Low 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 54,400 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 (+2.6%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $62,340, across about 632,430 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 38% 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 — "Licensed Practical and Licensed Vocational Nurses". https://singulariki.com/roles/role-29-2061-00 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.
Sources for this page
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Licensed Practical and Licensed Vocational 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2061-00
APA
Singulariki. (2026). Licensed Practical and Licensed Vocational Nurses. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2061-00
BibTeX
@misc{singulariki-role-29-2061-00,
title = {Licensed Practical and Licensed Vocational 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-2061-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.