AI Delegation Index

What work could you hand off to an AI agent?

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

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Draft guidance for daily living skills with devices

    Use an agent to pull together the client’s assessment notes, goals, and session observations, then draft a lesson plan for daily living skills with the right tactile or auditory supports and adaptive tools.

  2. 2

    Train safe travel with cane skills

    Use an agent to gather the client’s mobility notes, route practice records, and device preferences, then draft a step-by-step cane training plan and a short follow-up summary.

  3. 3

    Draft guidance for home routines and self-care skills

    Use an agent to compile the client’s home routine notes, care goals, and session observations, then draft a practical training plan for self-care, medication routines, or meal-related tasks.

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O*NET-SOC 29-1122.01 · #343 of 923

Result context

How to read this result

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.

National position
#343 of 923 occupations
Top 38% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Moderate · 70/100
Meaningful work covered
65%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Draft guidance for daily living skills with devices

How you could use an agent

Use an agent to pull together the client’s assessment notes, goals, and session observations, then draft a lesson plan for daily living skills with the right tactile or auditory supports and adaptive tools. The result is a ready-to-use training outline and follow-up note that you can adjust after you watch the client try the task.

Where you stay involved

You review the plan, teach the skill in person, watch how the client actually performs, and decide what needs to change next.

Review level: High

2

Train safe travel with cane skills

How you could use an agent

Use an agent to gather the client’s mobility notes, route practice records, and device preferences, then draft a step-by-step cane training plan and a short follow-up summary. The result is a consistent way to prepare practice sessions and keep track of what worked on each route.

Where you stay involved

You choose the mobility method, teach and supervise travel practice yourself, and decide whether the client is ready for the next step.

Review level: High

3

Draft guidance for home routines and self-care skills

How you could use an agent

Use an agent to compile the client’s home routine notes, care goals, and session observations, then draft a practical training plan for self-care, medication routines, or meal-related tasks. The result is a clear worksheet you can use to teach the routine and document what still needs support.

Where you stay involved

You teach the routine, watch for safety problems or confusion, and decide when a licensed medical provider needs to handle a health-related issue.

Review level: High

Documentation and coordination support

AI can assist without owning the physical outcome

These support steps are shown separately. They do not count as agentic workflows and do not increase this occupation's score.

Revise training plans from observations

Use an agent to turn your session notes and progress records into a revised training summary for the client, family, or caregivers, with a draft of the next session plan. The result is a tidy handoff note that keeps everyone working from the same version of the plan.

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

66 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency79
AI capability82
Digital actionability59
End-to-end leverage63
Safety & reversibility71
Meaningful-work coverage
65%
Physical-work modifier
Moderate
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
21 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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