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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Low Vision Therapists, Orientation and Mobility Specialists, and Vision Rehabilitation Therapists are much more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled **Highly Resilient** because the heart of the work — teaching someone who is blind or has low vision how to safely cross a street, use a cane, or navigate the world with confidence — requires hands-on coaching, real-time judgment, and genuine human connection that AI simply can't replicate. In fact, O*NET estimates that the core hands-on tasks in this field have only a 3–4% automation potential, which is remarkably low.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is highly resilient
This career is labeled **Highly Resilient** because the heart of the work — teaching someone who is blind or has low vision how to safely cross a street, use a cane, or navigate the world with confidence — requires hands-on coaching, real-time judgment, and genuine human connection that AI simply can't replicate. In fact, O*NET estimates that the core hands-on tasks in this field have only a 3–4% automation potential, which is remarkably low.
Read full analysisAnalysis of Current AI Resilience
Vision Rehabilitation Spec.
Updated Quarterly • Last Update: 5/14/2026

Right now, AI in this field is mostly augmenting — not replacing — the work of low vision therapists, orientation and mobility (O&M) specialists, and vision rehabilitation therapists. The technology is showing up in the tools clients use rather than in the instruction itself. For example, the WeWALK Smart Cane 2 pairs an ultrasonic handle with a traditional white cane and adds an AI assistant for turn-by-turn navigation and surroundings information [1], and apps like Be My AI, Seeing AI, and Ray-Ban Meta smart glasses now let users get scene descriptions hands-free.
A round-up of AI assistive technology trends in 2026 highlights Ray-Ban Meta glasses that help users who are blind or have low vision navigate with AI-powered features like Detailed Responses (Level Access [2]).
But teaching someone to use these tools safely — practicing cane techniques, crossing streets, interpreting tactile and auditory cues — still requires a trained human. The American Foundation for the Blind's brand-new AI Quagmire report [3], released March 2026, surveyed more than 1,700 people and found that benefits come with real risks like inaccurate AI descriptions, bias, and accessibility gaps. The National Federation of the Blind also publishes guidance on when AI isn't the right tool [4], reminding users that AI image descriptions can be wrong in ways that matter for safety.
That's exactly why O*NET rates the hands-on tasks (cane skills, recommending devices, sensory training) at only 3–4% automation potential.

A few forces are speeding adoption. Consumer AI products are now commercially available and relatively cheap — Be My AI is free, and mainstream smart glasses cost a few hundred dollars. Industry events like the 2025 Sight Tech Global agenda [5] explored how AI is reshaping daily life for blind and low-vision people, signaling fast innovation.
Therapists also have strong incentives to learn these tools because there is a national shortage of orientation and mobility specialists [6], so AI that streamlines paperwork or assessment write-ups (the higher-automation tasks on your list) directly helps overworked staff.
Several factors slow full automation, though. Safety and liability are huge — getting a street crossing wrong has real consequences, and AI still hallucinates. Brookings researchers note that around 70% of highly AI-exposed workers are in roles where AI augments rather than replaces them [7], which fits this career closely.
Ethical concerns also matter: AFB's research stresses shared responsibility among AI developers, businesses, people with disabilities, and policymakers to ensure AI expands access and inclusion [3], and clients themselves often want a human teacher they trust. The honest takeaway for young people curious about this path: AI will change what you teach, but the empathy, judgment, and hands-on coaching you bring are exactly the skills the technology can't copy.

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They help people with vision problems live independently by teaching them how to navigate safely and use tools to improve daily activities.
Median Wage
$98,340
Jobs (2024)
160,000
Growth (2024-34)
+13.8%
Annual Openings
10,200
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Teach cane skills including cane use with a guide, diagonal techniques, and two-point touches.
Train clients to use tactile, auditory, kinesthetic, olfactory, and propioceptive information.
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 to use adaptive equipment such as large print, reading stands, lamps, writing implements, software, and electronic devices.
Identify visual impairments related to basic life skills in areas such as self-care, literacy, communication, health management, home management, and meal preparation.
Train clients to read or write Braille.
Monitor clients' progress to determine whether changes in rehabilitation plans are needed.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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