# Speech-Language Pathology Assistants

> 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.

- **SOC code:** 31-9099.01
- **Canonical URL:** https://singulariki.com/roles/role-31-9099-01
- **Also known as:** 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
- **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):
- Document clients' progress toward meeting established treatment objectives.
- Implement treatment plans or protocols as directed by speech-language pathologists.
- Collect and compile data to document clients' performance or assess program quality.
- Perform support duties, such as preparing materials, keeping records, maintaining supplies, and scheduling activities.
- Assist speech-language pathologists in the remediation or development of speech and language skills.
- Select or prepare speech-language instructional materials.
- Assist speech-language pathologists in the conduct of client screenings or assessments of language, voice, fluency, articulation, or hearing.
- Prepare charts, graphs, or other visual displays to communicate clients' performance information.
- Test or maintain equipment to ensure correct performance.
- Conduct in-service training sessions, or family and community education programs.
- Assist speech-language pathologists in the conduct of speech-language research projects.

## Skills, tools, capabilities

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

**Skills in demand:**
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Psychology _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Writing _(Common Skill)_
- Critical Thinking _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Adobe Audition
- Biofeedback software
- Bungalow Software Aphasia Tutor
- ELR Software eLr Extra Language Resources
- Email software
- KayPENTAX Multi-Speech
- Language analysis software
- Learning Fundamentals Speech Visualization

## AI exposure & outlook

- **AI task-overlap index:** 46th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 52nd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 77th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 12th percentile (Low) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.5% growth (About average); 14.4k annual openings; 109.7k → 113.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $46,050; 103,650 employed.

## 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
- **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-31-9099-01_