# Low Vision Therapists, Orientation and Mobility Specialists, and Vision Rehabilitation Therapists

> Provide therapy to patients with visual impairments to improve their functioning in daily life activities. May train patients in activities such as computer use, communication skills, or home management skills.

- **SOC code:** 29-1122.01
- **Canonical URL:** https://singulariki.com/roles/role-29-1122-01
- **Also known as:** Certified Orientation and Mobility Specialist (COMS), Orientation and Mobility Specialist (O and M Specialist), Vision Rehabilitation Therapist (VRT), Visually Impaired Teacher (TVI), Certified Low Vision Therapist (CLVT), Mobility Specialist, Orientation and Mobility Instructor (O and M Instructor), Rehabilitation Teacher
- **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):
- Teach cane skills, including cane use with a guide, diagonal techniques, and two-point touches.
- Recommend appropriate mobility devices or systems, such as human guides, dog guides, long canes, electronic travel aids (ETAs), and other adaptive mobility devices (AMDs).
- Train clients with visual impairments to use mobility devices or systems, such as human guides, dog guides, electronic travel aids (ETAs), and other adaptive mobility devices (AMDs).
- Develop rehabilitation or instructional plans collaboratively with clients, based on results of assessments, needs, and goals.
- Train clients to use tactile, auditory, kinesthetic, olfactory, and proprioceptive information.
- Write reports or complete forms to document assessments, training, progress, or follow-up outcomes.
- Assess clients' functioning in areas such as vision, orientation and mobility skills, social and emotional issues, cognition, physical abilities, and personal goals.
- Teach clients to travel independently, using a variety of actual or simulated travel situations or exercises.
- Provide consultation, support, or education to groups such as parents and teachers.
- Teach self-advocacy skills to clients.
- Teach independent living skills or techniques, such as adaptive eating, medication management, diabetes management, and personal management.
- Monitor clients' progress to determine whether changes in rehabilitation plans are needed.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Education and Training _(knowledge)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Learning Strategies _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Problem Sensitivity _(ability)_
- Reading Comprehension _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Instructing _(transferable_skill)_

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

**Tools & technology:**
- Amazon Web Services AWS software _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Visio _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Database _(hot technology)_
- Oracle Java _(hot technology)_
- Oracle PeopleSoft _(hot technology)_
- Python _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 39th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 51st percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 41st percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 32nd percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 1st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 13.8% growth (Growing fast); 10.2k annual openings; 160k → 182.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $98,340; 152,280 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 29% automation, 57% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Provide consultation, support, or education to groups such as parents and teachers. _(1.6% of measured AI use; task iteration)_
- Refer clients to services, such as eye care, health care, rehabilitation, and counseling, to enhance visual and life functioning or when condition exceeds scope of practice. _(0.3% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide consultation, support, or education to groups such as parents and teachers.
- Help me refer clients to services, such as eye care, health care, rehabilitation, and counseling, to enhance visual and life functioning or when condition exceeds scope of practice.

## 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-29-1122-01_