Skip to content
Singulariki

Occupational Therapy Assistants

Occupation · SOC 31-2011.00

Assist occupational therapists in providing occupational therapy treatments and procedures. May, in accordance with state laws, assist in development of treatment plans, carry out routine functions, direct activity programs, and document the progress of treatments. Generally requires formal training.

Also called: Certified Occupational Therapist Assistant (COTA) · Certified Occupational Therapy Assistant (COTA) · Licensed Occupational Therapy Assistant (LOTA) · Occupational Therapy Assistant (OTA) · Acute Care Occupational Therapy Assistant (Acute Care OT Assistant) · Certified Occupational Assistant · Licensed Occupational Therapist Assistant (LOTA) · Occupational Therapist Assistant (OTA) · Registered Therapist Assistant · School Based Certified Occupational Therapy Assistant (School Based COTA) · Certified Travel OTA (Certified Travel Occupational Therapist Assistant) · Home Health COTA (Home Health Certified Occupational Therapy Assistant)

Job family: Healthcare Support Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-31-2011-00/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.

  • Teach patients how to deal constructively with their emotions. · 3.4%
See collaboration patterns →

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.

  • Teach patients how to deal constructively with their emotions. · 92.7% need a human
See the boundary tasks →

31st-percentile task overlap — yet about 7,200 openings a year (+19.2% projected, BLS), and observed AI use leans 7084% 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 40th -0.3
LLM task exposure, γ (OpenAI / Eloundou) Moderate 35th 0.3
AI assistant applicability (Microsoft) Low 25th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.3), and including AI-powered software (γ 0.3). 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 0.0 · 17th 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.

Teach patients how to deal constructively with their emotions. 1.9%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +19.2% by 2034
Projected annual openings 7,200
Employment 2024 → 2034 49,200 → 58,700

“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.

30% mean task exposure (2025)
57th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Health Associate Professionals Not Elsewhere Classified · 3259 30% 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 70.8% working with AI · 23.3% 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) 8.8%

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
Teach patients how to deal constructively with their emotions. Learning 3.4%

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.

Teach patients how to deal constructively with their emotions. 92.7%

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 teach patients how to deal constructively with their emotions.

    From: Teach patients how to deal constructively with their emotions. · 3.4% of measured AI use · learning

Tasks

All 22 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 4.7
Psychology 4.3
Education and Training 3.9
English Language 3.7
Therapy and Counseling 3.7
Public Safety and Security 3.4
Sociology and Anthropology 3.1
Administrative 3.1
Medicine and Dentistry 3.0
Computers and Electronics 3.0

Abilities

Oral Comprehension 4.0
Oral Expression 4.0
Written Expression 3.8
Problem Sensitivity 3.8
Written Comprehension 3.6
Near Vision 3.5
Deductive Reasoning 3.4
Information Ordering 3.4
Speech Clarity 3.4
Inductive Reasoning 3.3
Speech Recognition 3.3
Fluency of Ideas 3.1
Static Strength 3.1
Category Flexibility 3.0

Essential skills

Active Listening 3.9
Speaking 3.9
Reading Comprehension 3.6
Critical Thinking 3.4
Monitoring 3.4
Writing 3.3
Active Learning 3.3
Learning Strategies 3.3

Transferable skills

Social Perceptiveness 3.9
Service Orientation 3.9
Time Management 3.5
Instructing 3.3
Coordination 3.1
Judgment and Decision Making 3.1
Complex Problem Solving 3.0
Systems Analysis 3.0

Skills in demand

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 45.

Tools & technology

Example Category
eClinicalWorks EHR software Medical software Hot technology
Facebook Web page creation and editing software Hot technology
Microsoft Access Data base user interface and query 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 PowerPoint Presentation software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Billing software Billing and invoicing software
Bookkeeping software Accounting software
BrainTrain Captain's Log Medical software
BrainTrain IVA+Plus Computer based training software
BrainTrain SmartDriver Action games
Client caseload management software Medical software
Database software Data base user interface and query software
dBASE Data base user interface and query software
Email software Electronic mail software
Fifth Walk BillingTracker Billing and invoicing software
FileMaker Pro Data base user interface and query software
Financial record software Accounting software
Graphics software Graphics or photo imaging software
Laboratory information system LIS Medical software
Language arts educational software Computer based training software
Math educational software Computer based training software
Patient documentation software Medical software
Scheduling software Calendar and scheduling software
Screen reader software Device drivers or system software
SpectraSoft DocuPRO Medical software
Text scanning software Optical character reader OCR or scanning software
TheraClin Systems iMAPR Medical software
Visual Health Information VHI PC-Kits Medical software
Web browser software Internet browser 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.

Exposed to Disease or Infections 4.9
Contact With Others 4.8
Physical Proximity 4.8
Time Pressure 4.7
Frequency of Decision Making 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.7
Determine Tasks, Priorities and Goals 4.6
Work With or Contribute to a Work Group or Team 4.6
Freedom to Make Decisions 4.5
Health and Safety of Other Workers 4.5
Indoors, Environmentally Controlled 4.5
Importance of Being Exact or Accurate 4.5
Impact of Decisions on Co-workers or Company Results 4.3
Coordinate or Lead Others in Accomplishing Work Activities 4.3
Spend Time Standing 4.2
Spend Time Walking or Running 4.1
Importance of Repeating Same Tasks 4.1
Dealing With Unpleasant, Angry, or Discourteous People 4.0
Work Outcomes and Results of Other Workers 3.9
Spend Time Making Repetitive Motions 3.5
E-Mail 3.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.4
Conflict Situations 3.4
Spend Time Bending or Twisting Your Body 3.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.2
Telephone Conversations 3.0
Deal With External Customers or the Public in General 3.0
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.9
Dealing with Violent or Physically Aggressive People 2.8
Level of Competition 2.8
Consequence of Error 2.7
Exposed to Contaminants 2.6
Exposed to Cramped Work Space, Awkward Positions 2.6
Written Letters and Memos 2.6
Spend Time Keeping or Regaining Balance 2.3
Public Speaking 2.2
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.2
Spend Time Sitting 2.1
Exposed to Minor Burns, Cuts, Bites, or Stings 2.1
Degree of Automation 2.0

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
Associate's degree · 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.

Associate's Degree (or other 2-year degree) 91.7%
Some College Courses 5.1%
Bachelor's Degree 2.7%
Post-Baccalaureate Certificate 0.5%

Interests & work styles

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

Work styles

Dependability 7.0
Attention to Detail 6.0
Integrity 5.0
Cooperation 4.0
Empathy 3.0
Social Orientation 3.0

Interest areas

Health Care Service 6.4
Social Service 6.2
Teaching/Education 4.7
Professional Advising 3.9
Personal Service 3.6
Social Science 3.1

Career interests (Holland / RIASEC)

Social 6.1
Conventional 4.2
Realistic 3.5
Investigative 3.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$49k10th$60k25th$68kMedian$77k75th$87k90th
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.
49k202459k2034 (proj.)+19.2% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $49,070
25th percentile $59,950
Median (50th) $68,340
75th percentile $77,340
90th percentile $86,930
People employed 47,910

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 43,050 $69,650
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 19,370 $65,590
Educational Services · Sector 3,490 $59,240
Administrative and Support and Waste Management and Remediation Services · Sector 550 $75,500
Temporary Help Services · National industry 470 $75,130
Services for the Elderly and Persons with Disabilities · National industry 460 $63,440
Residential Intellectual and Developmental Disability Facilities · National industry 140 $65,520
Outpatient Mental Health and Substance Abuse Centers · National industry 90 $47,650
Residential Mental Health and Substance Abuse Facilities · National industry 90 $62,400
Management of Companies and Enterprises · Sector $72,800
Offices of Mental Health Practitioners (except Physicians) · National industry $45,830

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 130.8× 19,370
Health Care and Social Assistance · Sector 43,050
Residential Intellectual and Developmental Disability Facilities · National industry 1.16× 140
Educational Services · Sector 0.82× 3,490
Services for the Elderly and Persons with Disabilities · National industry 0.61× 460
Temporary Help Services · National industry 0.57× 470
Administrative and Support and Waste Management and Remediation Services · Sector 0.2× 550

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Occupational Therapy Assistants sits at the 31st percentile of AI task-overlap and the 59th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Occupational Therapy Assistants Massage Therapists Physical Therapist Aides Occupational Therapy Aides Physical Therapist Assistants Licensed Practical and Licensed Vocational Nurses Psychiatric Technicians Respiratory Therapists Radiation Therapists Recreational Therapists Acute Care Nurses 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 Occupational Therapy Assistants — 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 57th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Occupational Therapy Assistants show 31st-percentile AI task overlap — and about 7,200 annual U.S. openings

  • Occupational Therapy Assistants rank in the 31st 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 7,200 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 growing fast (+19.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $68,340, across about 47,910 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 71% 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
Occupational Therapy Assistants show 31st-percentile AI task overlap — and about 7,200 annual U.S. openings

• Occupational Therapy Assistants rank in the 31st 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 7,200 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 growing fast (+19.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $68,340, across about 47,910 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 71% 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 — "Occupational Therapy Assistants". https://singulariki.com/roles/role-31-2011-00
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. "Occupational Therapy Assistants." 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-31-2011-00

APA

Singulariki. (2026). Occupational Therapy Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-31-2011-00

BibTeX
@misc{singulariki-role-31-2011-00,
  title  = {Occupational Therapy Assistants},
  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-31-2011-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.