# Speech-Language Pathologists

> 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.

- **SOC code:** 29-1127.00
- **Canonical URL:** https://singulariki.com/roles/role-29-1127-00
- **Also known as:** 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
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Evaluate hearing or speech and language test results, barium swallow results, or medical or background information to diagnose and plan treatment for speech, language, fluency, voice, or swallowing disorders.
- 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.
- Monitor patients' progress and adjust treatments accordingly.
- 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.
- Administer hearing or speech and language evaluations, tests, or examinations to patients to collect information on type and degree of impairments, using written or oral tests or special instruments.
- Educate patients and family members about various topics, such as communication techniques or strategies to cope with or to avoid personal misunderstandings.
- Supervise or collaborate with therapy team.
- Participate in and write reports for meetings regarding patients' progress, such as individualized educational planning (IEP) meetings, in-service meetings, or intervention assistance team meetings.
- Instruct clients in techniques for more effective communication, such as sign language, lip reading, or voice improvement.
- Teach clients to control or strengthen tongue, jaw, face muscles, or breathing mechanisms.
- Develop speech exercise programs to reduce disabilities.
- Consult with and advise educators or medical staff on speech or hearing topics, such as communication strategies or speech and language stimulation.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Written Expression _(ability)_
- Speech Recognition _(ability)_
- Education and Training _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Written Comprehension _(ability)_
- Speech Clarity _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Psychology _(Specialized Skill)_
- Writing _(Common Skill)_
- Learning Strategies _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Instructing _(Specialized Skill)_

**Tools & technology:**
- eClinicalWorks EHR software _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Word _(hot technology)_
- Adobe Audition
- Apple Logic Pro
- Avaaz Innovations AphasiaMate
- Avaaz Innovations Computerized Speech Research Environment CSRE
- Avaaz Innovations Interactive Voice Analysis System IVANS
- Biofeedback software
- Bungalow Software Aphasia Tutor
- Dropbox

## AI exposure & outlook

- **AI task-overlap index:** 60th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 81st percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 58th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 45th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 4th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 15.0% growth (Growing fast); 13.3k annual openings; 187.4k → 215.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $95,410; 178,790 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 45% automation, — augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** feedback loop.

**Tasks most handed to AI here:**
- Monitor patients' progress and adjust treatments accordingly. _(0.4% of measured AI use; feedback loop)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me monitor patients' progress and adjust treatments accordingly.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-29-1127-00_