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Orderlies

Occupation · SOC 31-1132.00

Transport patients to areas such as operating rooms or x-ray rooms using wheelchairs, stretchers, or moveable beds. May maintain stocks of supplies or clean and transport equipment. Psychiatric orderlies are included in Psychiatric Aides.

Also called: Patient Care Assistant (PCA) · Patient Care Technician (PCT) · Patient Transporter · Transporter · Attendant · Operating Room Assistant · Orderly · Patient Escort · Radiology Transporter · Cart Attendant · Clinical Support Associate · Emergency Room Orderly

Job family: Healthcare Support Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-31-1132-00/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.

0th-percentile task overlap — yet about 7,800 openings a year (+3.3% projected, BLS) . 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
LLM task exposure, γ (OpenAI / Eloundou) Low 3rd 0.0
AI assistant applicability (Microsoft) Low 0th 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

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 · +3.3% by 2034
Projected annual openings 7,800
Employment 2024 → 2034 54,000 → 55,800

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

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.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.2
Public Safety and Security 3.1
English Language 3.0
Transportation 2.5

Abilities

Oral Comprehension 3.6
Trunk Strength 3.5
Oral Expression 3.4
Problem Sensitivity 3.4
Static Strength 3.4
Speech Recognition 3.4
Near Vision 3.3
Extent Flexibility 3.1
Speech Clarity 3.1
Manual Dexterity 3.0
Explosive Strength 3.0
Dynamic Strength 3.0
Stamina 3.0
Gross Body Equilibrium 3.0
Deductive Reasoning 2.9
Inductive Reasoning 2.9
Finger Dexterity 2.9
Gross Body Coordination 2.9
Written Comprehension 2.8
Written Expression 2.8
Information Ordering 2.8
Category Flexibility 2.8
Multilimb Coordination 2.8
Far Vision 2.8
Arm-Hand Steadiness 2.6
Control Precision 2.6

Transferable skills

Social Perceptiveness 3.4
Service Orientation 3.4
Coordination 2.9
Judgment and Decision Making 2.6

Essential skills

Active Listening 3.1
Speaking 3.0
Critical Thinking 2.8
Writing 2.6
Monitoring 2.6
Reading Comprehension 2.5

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

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Windows Operating system software Hot technology
Electronic medical record EMR software Medical software
GE Healthcare Centricity EMR Medical software
Medical record charting software Medical software

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.

Contact With Others 4.9
Physical Proximity 4.9
Exposed to Disease or Infections 4.9
Telephone Conversations 4.8
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.7
Indoors, Environmentally Controlled 4.6
Spend Time Walking or Running 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
Spend Time Standing 4.6
Work With or Contribute to a Work Group or Team 4.5
Health and Safety of Other Workers 4.5
Importance of Being Exact or Accurate 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.4
Frequency of Decision Making 4.4
Spend Time Bending or Twisting Your Body 4.3
Spend Time Making Repetitive Motions 4.3
Time Pressure 4.2
Impact of Decisions on Co-workers or Company Results 4.2
Importance of Repeating Same Tasks 4.1
Freedom to Make Decisions 4.1
Dealing With Unpleasant, Angry, or Discourteous People 4.0
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Consequence of Error 3.9
Determine Tasks, Priorities and Goals 3.8
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.8
Conflict Situations 3.7
Deal With External Customers or the Public in General 3.4
Exposed to Contaminants 3.4
Exposed to Cramped Work Space, Awkward Positions 3.3
Level of Competition 3.1
Work Outcomes and Results of Other Workers 3.1
E-Mail 2.9
Dealing with Violent or Physically Aggressive People 2.8
Degree of Automation 2.7
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.6
Pace Determined by Speed of Equipment 2.5
Exposed to Hazardous Conditions 2.5
Written Letters and Memos 2.4
Public Speaking 2.3
Exposed to Radiation 2.2

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 89.3%
Less than a High School Diploma 6.5%
Post-Secondary Certificate 4.1%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Physical/Manual Labor 5.4
Health Care Service 4.7
Transportation/Machine Operation 2.8
Personal Service 2.3
Social Service 2.2
Protective Service 1.8

Career interests (Holland / RIASEC)

Realistic 5.4
Conventional 4.8
Social 4.2
Investigative 2.0

Work styles

Dependability 2.6
Cooperation 2.1
Empathy 1.7
Attention to Detail 1.7
Stress Tolerance 1.6
Integrity 1.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$32k10th$35k25th$38kMedian$43k75th$50k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
54k202456k2034 (proj.)+3.3% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $31,610
25th percentile $34,850
Median (50th) $37,700
75th percentile $43,160
90th percentile $49,570
People employed 53,020

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 49,040 $37,650
Administrative and Support and Waste Management and Remediation Services · Sector 1,520 $38,270
Temporary Help Services · National industry 450 $35,780
Educational Services · Sector 280 $37,190
Management of Companies and Enterprises · Sector 230 $43,810
Ambulance Services · National industry 120 $37,570
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 110 $19,620
Residential Mental Health and Substance Abuse Facilities · National industry 60 $35,960
Outpatient Mental Health and Substance Abuse Centers · National industry 30 $36,130
Services for the Elderly and Persons with Disabilities · National industry $29,370
Accommodation and Food Services · Sector $37,200

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
Health Care and Social Assistance · Sector 6.17× 49,040
Ambulance Services · National industry 2.12× 120
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 0.67× 110
Administrative and Support and Waste Management and Remediation Services · Sector 0.49× 1,520
Temporary Help Services · National industry 0.49× 450
Management of Companies and Enterprises · Sector 0.24× 230
Educational Services · Sector 0.06× 280

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Orderlies sits at the 0th percentile of AI task-overlap and the 9th percentile of median pay, placed here against 10 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Orderlies Surgical Assistants Ambulance Drivers and Attendants, Except Emergency Medical Technicians Medical Equipment Preparers Psychiatric Aides Surgical Technologists Medical Assistants AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Orderlies — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Orderlies show 0th-percentile AI task overlap — and about 7,800 annual U.S. openings

  • Orderlies rank in the 0th 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 7,800 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 (+3.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $37,700, across about 53,020 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Orderlies show 0th-percentile AI task overlap — and about 7,800 annual U.S. openings

• Orderlies rank in the 0th 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 7,800 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 (+3.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $37,700, across about 53,020 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Orderlies". https://singulariki.com/roles/role-31-1132-00
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Orderlies." 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; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-31-1132-00

APA

Singulariki. (2026). Orderlies. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-31-1132-00

BibTeX
@misc{singulariki-role-31-1132-00,
  title  = {Orderlies},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-31-1132-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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