Skip to content
Singulariki

Speech-Language Pathologists

Occupation · SOC 29-1127.00

Assess and treat persons with speech, language, voice, and fluency disorders. May select alternative communication systems and teach their use. May perform research related to speech and language problems.

Also called: Bilingual Speech-Language Pathologist (Bilingual SLP) · Speech Pathologist · Speech and Language Specialist · Speech-Language Pathologist (SLP) · Pediatric Speech-Language Pathologist (Pediatric SLP) · Speech Clinician · Speech Therapist · Speech and Language Clinician · Speech and Language Teacher · Speech and Language Therapist · Home Health SLP (Home Health Speech Language Pathologist) · Language Pathologist

Job family: Healthcare Practitioners and Technical 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-29-1127-00/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.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Monitor patients' progress and adjust treatments accordingly. · 0.4%
See how AI is used here →

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.

  • Monitor patients' progress and adjust treatments accordingly. · 73.7% need a human
See the boundary tasks →

60th-percentile task overlap — yet about 13,300 openings a year (+15% 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.) High 81st 1.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 58th 0.7
AI assistant applicability (Microsoft) Moderate 45th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.7). 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.

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 · 4th 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.

Monitor patients' progress and adjust treatments accordingly. 0.4%
Write reports and maintain proper documentation of information, such as client Medicaid or billing records or caseload activities, including the initial evaluation, treatment, progress, and discharge of clients. 0.4%
Provide communication instruction to dialect speakers or students with limited English proficiency. 0.3%
Conduct or direct research on speech or hearing topics and report findings for use in developing procedures, technologies, or treatments. 0.2%
Develop or implement treatment plans for problems such as stuttering, delayed language, swallowing disorders, or inappropriate pitch or harsh voice problems, based on own assessments and recommendations of physicians, psychologists, or social workers. 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 Growing fast · +15.0% by 2034
Projected annual openings 13,300
Employment 2024 → 2034 187,400 → 215,500

“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.

24% mean task exposure (2025)
43rd percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Audiologists and Speech Therapists · 2266 24% 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.

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.

Most common way people use AI here Feedback loop · AI does it, then adjusts from your feedback
Typical AI autonomy 4.0 / 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
Monitor patients' progress and adjust treatments accordingly. Feedback loop 0.4%

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.

Monitor patients' progress and adjust treatments accordingly. 73.7%

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 monitor patients' progress and adjust treatments accordingly.

    From: Monitor patients' progress and adjust treatments accordingly. · 0.4% of measured AI use · feedback loop

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

English Language 4.9
Education and Training 4.2
Customer and Personal Service 4.0
Psychology 4.0
Therapy and Counseling 4.0
Administrative 3.6
Sociology and Anthropology 3.2
Medicine and Dentistry 3.1

Abilities

Oral Comprehension 4.5
Oral Expression 4.3
Written Expression 4.3
Speech Recognition 4.3
Written Comprehension 4.1
Speech Clarity 4.1
Problem Sensitivity 4.0
Deductive Reasoning 4.0
Inductive Reasoning 4.0
Fluency of Ideas 3.8
Information Ordering 3.8
Category Flexibility 3.8
Near Vision 3.6
Hearing Sensitivity 3.6
Originality 3.3
Flexibility of Closure 3.3

Essential skills

Reading Comprehension 4.1
Active Listening 4.1
Critical Thinking 4.1
Writing 4.0
Speaking 4.0
Learning Strategies 4.0
Active Learning 3.9
Monitoring 3.9

Transferable skills

Social Perceptiveness 4.1
Instructing 3.9
Complex Problem Solving 3.9
Service Orientation 3.8
Judgment and Decision Making 3.8
Coordination 3.3
Time Management 3.3
Systems Analysis 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

Example Category
eClinicalWorks EHR software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Word Word processing software Hot technology
Adobe Audition Music or sound editing software
Apple Logic Pro Music or sound editing software
Avaaz Innovations AphasiaMate Medical software
Avaaz Innovations Computerized Speech Research Environment CSRE Analytical or scientific software
Avaaz Innovations Interactive Voice Analysis System IVANS Medical software
Biofeedback software Medical software
Bungalow Software Aphasia Tutor Medical software
Dropbox Cloud-based data access and sharing software
ELR Software eLr Extra Language Resources Medical software
Email software Electronic mail software
KayPENTAX Multi-Speech Medical software
KayPENTAX Nasometer Medical software
Language analysis software Analytical or scientific software
Learning Fundamentals Speech Visualization Medical software
Micro 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
Tadpoles Desktop communications software
Text to speech software Computer based training software
Web browser software Internet browser software
Words+ E Z Keys for Windows Voice recognition software
YouTube Video creation and editing 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.

Face-to-Face Discussions with Individuals and Within Teams 5.0
Contact With Others 5.0
Work With or Contribute to a Work Group or Team 4.9
Physical Proximity 4.8
Determine Tasks, Priorities and Goals 4.6
Freedom to Make Decisions 4.6
Time Pressure 4.6
Frequency of Decision Making 4.3
Indoors, Environmentally Controlled 4.2
E-Mail 4.2
Impact of Decisions on Co-workers or Company Results 4.0
Importance of Being Exact or Accurate 4.0
Spend Time Sitting 3.9
Deal With External Customers or the Public in General 3.8
Telephone Conversations 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Exposed to Disease or Infections 3.5
Written Letters and Memos 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Consequence of Error 3.2
Health and Safety of Other Workers 3.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.8
Conflict Situations 2.8
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.7
Spend Time Standing 2.7
Level of Competition 2.7
Dealing With Unpleasant, Angry, or Discourteous People 2.6
Importance of Repeating Same Tasks 2.6
Work Outcomes and Results of Other Workers 2.6
Spend Time Walking or Running 2.4
Exposed to Contaminants 2.2
Public Speaking 2.1
Spend Time Making Repetitive Motions 1.9
Dealing with Violent or Physically Aggressive People 1.8
Spend Time Bending or Twisting Your Body 1.6
Exposed to Very Hot or Cold Temperatures 1.6
Degree of Automation 1.6
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.6
Indoors, Not Environmentally Controlled 1.5
Pace Determined by Speed of Equipment 1.5

How to get in

Job zone
Zone 5 — Job Zone Five: Extensive Preparation Needed
Education
Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
Typical entry-level education
Master's degree · BLS, the typical path — not a requirement
Related experience
Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additional five to seven years of specialized medical training to be able to do their job.
Preparation level
SVP (8.0 and above) — 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.

Master's Degree 88.5%
Post-Master's Certificate 11.5%

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

Interest areas

Health Care Service 6.4
Social Service 6.0
Teaching/Education 5.1
Professional Advising 4.4
Social Science 4.0
Medical Science 3.7

Career interests (Holland / RIASEC)

Social 6.1
Investigative 5.6
Conventional 4.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$60k10th$75k25th$95kMedian$113k75th$133k90th
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.
187k2024216k2034 (proj.)+15.0% · 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 $60,480
25th percentile $75,310
Median (50th) $95,410
75th percentile $112,510
90th percentile $132,850
People employed 178,790

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 95,310 $101,230
Educational Services · Sector 75,020 $80,280
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 47,050 $98,470
Administrative and Support and Waste Management and Remediation Services · Sector 2,990 $101,190
Temporary Help Services · National industry 2,760 $100,140
Services for the Elderly and Persons with Disabilities · National industry 1,850 $85,060
Management of Companies and Enterprises · Sector 930 $75,990
Offices of Mental Health Practitioners (except Physicians) · National industry 900 $114,050
Residential Intellectual and Developmental Disability Facilities · National industry 430 $93,780
Outpatient Mental Health and Substance Abuse Centers · National industry 220 $79,130
Residential Mental Health and Substance Abuse Facilities · National industry 120 $75,000
Other Services (except Public Administration) · Sector 100 $86,700

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 85.14× 47,050
Educational Services · Sector 4.74× 75,020
Health Care and Social Assistance · Sector 3.56× 95,310
Offices of Mental Health Practitioners (except Physicians) · National industry 3.21× 900
Residential Intellectual and Developmental Disability Facilities · National industry 0.95× 430
Temporary Help Services · National industry 0.9× 2,760
Services for the Elderly and Persons with Disabilities · National industry 0.66× 1,850
Outpatient Mental Health and Substance Abuse Centers · National industry 0.61× 220

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Speech-Language Pathologists sits at the 60th percentile of AI task-overlap and the 79th 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 Pathologists Occupational Therapy Aides Physical Therapist Assistants Psychiatric Technicians Occupational Therapy Assistants Recreational Therapists Physical Therapists Speech-Language Pathology 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 Speech-Language Pathologists — 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 Pathologists show 60th-percentile AI task overlap — and about 13,300 annual U.S. openings

  • Speech-Language Pathologists rank in the 60th 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 13,300 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 (+15%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $95,410, across about 178,790 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Speech-Language Pathologists show 60th-percentile AI task overlap — and about 13,300 annual U.S. openings

• Speech-Language Pathologists rank in the 60th 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 13,300 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 (+15%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $95,410, across about 178,790 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Speech-Language Pathologists". https://singulariki.com/roles/role-29-1127-00
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. "Speech-Language Pathologists." 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-29-1127-00

APA

Singulariki. (2026). Speech-Language Pathologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1127-00

BibTeX
@misc{singulariki-role-29-1127-00,
  title  = {Speech-Language Pathologists},
  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-29-1127-00}
}

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.