Skip to content
Singulariki

Speech-Language Pathology Assistants

Occupation · SOC 31-9099.01

Assist speech-language pathologists in the assessment and treatment of speech, language, voice, and fluency disorders. Implement speech and language programs or activities as planned and directed by speech-language pathologists. Monitor the use of alternative communication devices and systems.

Also called: Communication Assistant · Speech Pathologist Assistant · Speech-Language Pathologist Assistant (SLPA) · Speech-Language Pathology Assistant (SLPA) · Speech Assistant · Speech Paraeducator · Speech Therapy Assistant · Speech-Language Assistant · Speech-Language Pathologists Assistant (SLPA) · Speech-Language Technician · Anatomic Pathology Assistant · Certified Pathology 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-31-9099-01/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.

46th-percentile task overlap — yet about 14,400 openings a year (+3.5% 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.) Moderate 52nd 0.2
LLM task exposure, γ (OpenAI / Eloundou) High 77th 0.9
AI assistant applicability (Microsoft) Low 12th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.6), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

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.

Prepare charts, graphs, or other visual displays to communicate clients' performance information. 2.0%
Select or prepare speech-language instructional materials. 0.3%

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 · +3.5% by 2034
Projected annual openings 14,400
Employment 2024 → 2034 109,700 → 113,500

“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 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

23% mean task exposure (2025)
43rd percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Health Associate Professionals Not Elsewhere Classified · 3259 30% Minimal
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 11 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

English Language 4.5
Education and Training 4.2
Therapy and Counseling 3.7
Psychology 3.6
Customer and Personal Service 3.4
Administrative 3.4
Computers and Electronics 2.8

Essential skills

Active Listening 4.0
Reading Comprehension 3.8
Speaking 3.8
Monitoring 3.4
Writing 3.1
Critical Thinking 3.1
Active Learning 3.1
Learning Strategies 3.0

Abilities

Oral Comprehension 4.0
Oral Expression 4.0
Speech Recognition 4.0
Speech Clarity 4.0
Written Comprehension 3.9
Written Expression 3.9
Problem Sensitivity 3.6
Information Ordering 3.6
Deductive Reasoning 3.5
Inductive Reasoning 3.5
Near Vision 3.5
Hearing Sensitivity 3.3
Fluency of Ideas 3.0
Originality 3.0
Time Sharing 3.0
Auditory Attention 3.0
Category Flexibility 2.9
Flexibility of Closure 2.9

Transferable skills

Social Perceptiveness 3.5
Service Orientation 3.4
Complex Problem Solving 3.3
Judgment and Decision Making 3.1
Instructing 3.0
Coordination 2.9
Time Management 2.9

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 Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Adobe Audition Music or sound editing software
Biofeedback software Medical software
Bungalow Software Aphasia Tutor Medical software
ELR Software eLr Extra Language Resources Medical software
Email software Electronic mail software
KayPENTAX Multi-Speech Medical software
Language analysis software Analytical or scientific software
Learning Fundamentals Speech Visualization Medical software
Micro Video Video Voice Speech Training System Medical software
Propeller Multimedia React2 Medical software
Signal analysis software Analytical or scientific software
Speech analysis software Analytical or scientific software
Text to speech software Text to speech conversion 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.

Contact With Others 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
Importance of Being Exact or Accurate 4.3
E-Mail 4.3
Physical Proximity 4.2
Determine Tasks, Priorities and Goals 4.1
Work With or Contribute to a Work Group or Team 4.0
Telephone Conversations 3.8
Frequency of Decision Making 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Spend Time Sitting 3.6
Health and Safety of Other Workers 3.6
Impact of Decisions on Co-workers or Company Results 3.5
Time Pressure 3.5
Deal With External Customers or the Public in General 3.4
Written Letters and Memos 3.3
Freedom to Make Decisions 3.3
Indoors, Environmentally Controlled 3.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.8
Importance of Repeating Same Tasks 2.8
Level of Competition 2.8
Spend Time Standing 2.5
Consequence of Error 2.5
Spend Time Walking or Running 2.4
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.4
Exposed to Disease or Infections 2.2
In an Enclosed Vehicle or Operate Enclosed Equipment 2.2
Spend Time Bending or Twisting Your Body 2.2
Dealing With Unpleasant, Angry, or Discourteous People 2.1
Spend Time Making Repetitive Motions 2.1
Conflict Situations 1.9
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 1.9
Degree of Automation 1.9
Work Outcomes and Results of Other Workers 1.7
Dealing with Violent or Physically Aggressive People 1.6
Public Speaking 1.6
Exposed to Contaminants 1.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 1.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.4
Exposed to Very Hot or Cold Temperatures 1.3

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
High school diploma or equivalent · 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.

Bachelor's Degree 23.3%
Post-Baccalaureate Certificate 14.1%
Master's Degree 4.8%

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
Social Orientation 3.0
Empathy 2.5

Interest areas

Health Care Service 5.8
Social Service 5.5
Teaching/Education 4.7
Social Science 3.2
Medical Science 2.9
Professional Advising 2.6

Career interests (Holland / RIASEC)

Social 5.5
Conventional 5.0
Investigative 4.4
Artistic 2.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$32k10th$38k25th$46kMedian$58k75th$68k90th
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.
110k2024114k2034 (proj.)+3.5% · 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 $32,450
25th percentile $37,570
Median (50th) $46,050
75th percentile $57,650
90th percentile $68,180
People employed 103,650

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 31-9099), not for the specialty alone.

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 60,630 $43,200
Educational Services · Sector 13,000 $48,000
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 4,610 $50,120
Administrative and Support and Waste Management and Remediation Services · Sector 3,850 $42,020
Temporary Help Services · National industry 2,880 $46,960
Retail Trade · Sector 1,490 $50,460
Other Services (except Public Administration) · Sector 1,150 $31,170
Residential Mental Health and Substance Abuse Facilities · National industry 1,050 $38,080
Services for the Elderly and Persons with Disabilities · National industry 930 $52,000
Finance and Insurance · Sector 740 $59,850
Professional, Scientific, and Technical Services · Sector 740 $60,210
Management of Companies and Enterprises · Sector 740 $37,640

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 14.39× 4,610
Residential Mental Health and Substance Abuse Facilities · National industry 6.04× 1,050
Health Care and Social Assistance · Sector 3.9× 60,630
Offices of Chiropractors · National industry 3.47× 340
Offices of Optometrists · National industry 2.05× 210
Temporary Help Services · National industry 1.62× 2,880
Educational Services · Sector 1.42× 13,000
Direct Health and Medical Insurance Carriers · National industry 1.36× 410

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Speech-Language Pathology Assistants sits at the 46th percentile of AI task-overlap and the 23rd 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 Speech-Language Pathology Assistants Physical Therapist Aides Occupational Therapy Aides Physical Therapist Assistants Psychiatric Technicians Occupational Therapy Assistants Low Vision Therapists, Orientation and Mobility Specialists, and Vision Rehabilitation Therapists Audiologists 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 Speech-Language Pathology 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 43rd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Speech-Language Pathology Assistants show 46th-percentile AI task overlap — and about 14,400 annual U.S. openings

  • Speech-Language Pathology Assistants rank in the 46th 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 14,400 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 (+3.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $46,050, across about 103,650 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Speech-Language Pathology Assistants show 46th-percentile AI task overlap — and about 14,400 annual U.S. openings

• Speech-Language Pathology Assistants rank in the 46th 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 14,400 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 (+3.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $46,050, across about 103,650 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Speech-Language Pathology Assistants". https://singulariki.com/roles/role-31-9099-01
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. "Speech-Language Pathology 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-31-9099-01

APA

Singulariki. (2026). Speech-Language Pathology Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-31-9099-01

BibTeX
@misc{singulariki-role-31-9099-01,
  title  = {Speech-Language Pathology 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-31-9099-01}
}

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.