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Physical Therapist Aides

Occupation · SOC 31-2022.00

Under close supervision of a physical therapist or physical therapy assistant, perform only delegated, selected, or routine tasks in specific situations. These duties include preparing the patient and the treatment area.

Also called: PT Tech (Physical Therapy Technician) · Physical Therapist Aide (PTA) · Physical Therapy Aide (PTA) · Rehabilitation Technician (Rehabilitation Tech) · PT Attendant (Physical Therapy Attendant) · PT Tech (Physical Therapist Technician) · Rehabilitation Aide · Rehabilitation Attendant · Restorative Aide (RA) · Therapy Aide · Aide · Outpatient Aide

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-31-2022-00/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.

16th-percentile task overlap — yet about 6,600 openings a year (+2.8% 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
Overall AI exposure (Felten et al.) Low 22nd -0.9
LLM task exposure, γ (OpenAI / Eloundou) Low 28th 0.2
AI assistant applicability (Microsoft) Low 7th 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.2). 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 0.6 · 52nd percentile among occupations · Moderate

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 · +2.8% by 2034
Projected annual openings 6,600
Employment 2024 → 2034 45,600 → 46,900

“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.

15% mean task exposure (2025)
18th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Personal Care Workers in Health Services Not Elsewhere Classified · 5329 15% 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.

Tasks

All 19 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 4.5
English Language 4.0
Computers and Electronics 3.5
Therapy and Counseling 3.3
Psychology 3.0
Public Safety and Security 2.9
Administrative 2.8

Essential skills

Active Listening 3.6
Monitoring 3.3
Reading Comprehension 3.1
Writing 3.0
Speaking 3.0
Critical Thinking 3.0
Active Learning 3.0

Abilities

Oral Comprehension 3.4
Problem Sensitivity 3.3
Speech Recognition 3.3
Oral Expression 3.1
Near Vision 3.1
Written Comprehension 3.0
Written Expression 3.0
Inductive Reasoning 3.0
Information Ordering 3.0
Selective Attention 3.0
Trunk Strength 3.0
Speech Clarity 3.0
Deductive Reasoning 2.9
Category Flexibility 2.9
Arm-Hand Steadiness 2.9
Finger Dexterity 2.9
Multilimb Coordination 2.9
Static Strength 2.9

Transferable skills

Service Orientation 3.3
Social Perceptiveness 3.1
Coordination 3.1
Instructing 3.0
Time Management 3.0
Persuasion 2.9
Complex Problem Solving 2.9
Judgment and Decision Making 2.8

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
Epic Systems Medical software Hot technology
MEDITECH software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Medical procedure coding software Medical software
Patient record maintenance software Medical software
Scheduling software Calendar and scheduling 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 4.8
Work With or Contribute to a Work Group or Team 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.5
Physical Proximity 4.5
Health and Safety of Other Workers 4.1
Indoors, Environmentally Controlled 4.1
Spend Time Standing 4.1
Telephone Conversations 4.1
Spend Time Walking or Running 3.9
Freedom to Make Decisions 3.9
Exposed to Disease or Infections 3.8
E-Mail 3.8
Impact of Decisions on Co-workers or Company Results 3.8
Frequency of Decision Making 3.7
Deal With External Customers or the Public in General 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Determine Tasks, Priorities and Goals 3.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.4
Importance of Being Exact or Accurate 3.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.4
Spend Time Bending or Twisting Your Body 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Spend Time Making Repetitive Motions 3.2
Work Outcomes and Results of Other Workers 3.1
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Time Pressure 3.0
Written Letters and Memos 3.0
Consequence of Error 3.0
Importance of Repeating Same Tasks 2.8
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.5
Conflict Situations 2.5
Exposed to Contaminants 2.3
Level of Competition 2.3
Exposed to Cramped Work Space, Awkward Positions 2.3
Spend Time Sitting 2.0
Spend Time Keeping or Regaining Balance 2.0
Exposed to Minor Burns, Cuts, Bites, or Stings 1.8
Exposed to Very Hot or Cold Temperatures 1.8
Degree of Automation 1.6
Dealing with Violent or Physically Aggressive People 1.6

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.

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.

High School Diploma 34.4%
Associate's Degree (or other 2-year degree) 25.1%
Less than a High School Diploma 10.1%
Doctoral Degree 10.1%
Some College Courses 9.6%
Bachelor's Degree 8.6%
Post-Secondary Certificate 2.1%

Interests & work styles

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

Career interests (Holland / RIASEC)

Social 6.0
Realistic 4.7
Conventional 3.9
Investigative 2.6
Enterprising 2.1

Interest areas

Health Care Service 5.8
Social Service 4.6
Personal Service 3.6
Physical/Manual Labor 3.5
Teaching/Education 2.5
Athletics 2.3
Medical Science 2.0

Work styles

Dependability 3.0
Cooperation 2.5
Empathy 2.2
Attention to Detail 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$25k10th$30k25th$35kMedian$38k75th$47k90th
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.
46k202447k2034 (proj.)+2.8% · 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 $24,960
25th percentile $29,710
Median (50th) $34,520
75th percentile $38,240
90th percentile $46,930
People employed 44,010

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 42,910 $34,370
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 29,210 $32,640
Administrative and Support and Waste Management and Remediation Services · Sector 150 $35,610
Educational Services · Sector 40 $34,420
Temporary Help Services · National industry $42,230
Offices of Chiropractors · National industry $34,580
Services for the Elderly and Persons with Disabilities · National industry $46,140

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
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 214.72× 29,210
Health Care and Social Assistance · Sector 6.51× 42,910
Administrative and Support and Waste Management and Remediation Services · Sector 0.06× 150

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Physical Therapist Aides sits at the 16th percentile of AI task-overlap and the 3rd percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Physical Therapist Aides Massage Therapists Nursing Assistants Psychiatric Aides Occupational Therapy Aides Physical Therapist Assistants Respiratory Therapists Occupational Therapy Assistants Medical Assistants Occupational Therapists 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 Physical Therapist Aides — 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.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 18th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Physical Therapist Aides show 16th-percentile AI task overlap — and about 6,600 annual U.S. openings

  • Physical Therapist Aides rank in the 16th 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 6,600 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 (+2.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $34,520, across about 44,010 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Physical Therapist Aides show 16th-percentile AI task overlap — and about 6,600 annual U.S. openings

• Physical Therapist Aides rank in the 16th 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 6,600 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 (+2.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $34,520, across about 44,010 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Physical Therapist Aides". https://singulariki.com/roles/role-31-2022-00
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. "Physical Therapist Aides." 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; 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-31-2022-00

APA

Singulariki. (2026). Physical Therapist Aides. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-31-2022-00

BibTeX
@misc{singulariki-role-31-2022-00,
  title  = {Physical Therapist Aides},
  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; 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-31-2022-00}
}

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

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