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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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Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
67.1%
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%).
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forPhysical Therapist Aides
Physical Therapist Aides are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of a Physical Therapist Aide is labeled as "Resilient" because the core tasks involve hands-on care and personal interaction, which are hard for AI to replicate. While AI might help schedule appointments or manage records, guiding patients through exercises, providing massages, and communicating about therapy plans rely on human empathy and physical touch.
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The career of a Physical Therapist Aide is labeled as "Resilient" because the core tasks involve hands-on care and personal interaction, which are hard for AI to replicate. While AI might help schedule appointments or manage records, guiding patients through exercises, providing massages, and communicating about therapy plans rely on human empathy and physical touch.
Read full analysisAnalysis of Current AI Resilience
Physical Therapist Aides
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Physical Therapist Aides jobs?
In many clinics, routine backend work is already aided by technology. For example, hospitals use delivery robots (like Moxi or TUG) to carry medications, linens or supplies so staff spend less time running errands [1] [2]. Clinics also use computer systems for scheduling and records.
Physical therapist aides often work with calendar apps, email, and electronic health record software (Epic, etc.) to track inventory or appointments [3] [2]. In other words, ordering supplies or booking patients increasingly involves software automation or even simple chatbots.
By contrast, hands-on care remains largely human-led. Tasks like guiding a patient through exercises, giving massages, or changing bed linens require personal touch, and AI has not replaced these in real clinics [4] [1]. Some research robots for rehabilitation exist (robotic treadmills or robotic arms), but they are not common in everyday therapy [4] [1].
Likewise, talking with therapists about a patient’s plan needs human discussion. In summary, AI and robots today mostly help with routine chores (delivering supplies, record-keeping) while people still do the close-contact therapy work.
Sources
How fast is AI adoption growing for Physical Therapist Aides?
Adoption of AI depends on cost, need, and trust. On one hand, hospitals face staff shortages and infectious risk, so robots that save time are attractive. For example, studies note nurses often spend ~30% of their day fetching supplies, so delivery robots give them back hours for patients [2] [1].
The COVID-19 pandemic even pushed some hospitals to try robots to reduce exposure [2] [1]. In these cases, AI tools that cut costs and burnout may spread quickly.
On the other hand, high-tech systems are expensive and require training. Research shows that lack of funding, evidence of benefit, and user training have kept many rehab robots out of clinics [4] [4]. Also, healthcare is personal: tasks needing empathy or judgment are kept by humans for now.
In brief, AI that boosts efficiency (like supply robots or smart scheduling) may grow, but human skills – caring communication, physical touch, and quick thinking – remain essential parts of therapy work [4] [1].
Sources
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More Career Info
Career: Physical Therapist Aides
They help patients recover by setting up exercise equipment, assisting with exercises, and keeping treatment areas clean and organized.
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Employment & Wage Data
Median Wage
$34,520
Jobs (2024)
45,600
Growth (2024-34)
+2.8%
Annual Openings
6,600
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Administer traction to relieve neck or back pain, using intermittent or static traction equipment.
2
Transport patients to and from treatment areas, using wheelchairs or providing standing support.
3
Participate in patient care tasks, such as assisting with passing food trays, feeding residents, or bathing residents on bed rest.
4
Instruct, motivate, safeguard, or assist patients practicing exercises or functional activities, under direction of medical staff.
5
Administer active or passive manual therapeutic exercises, therapeutic massage, or heat, light, sound, water, or electrical modality treatments, such as ultrasound.
6
Measure patient's range-of-joint motion, body parts, or vital signs to determine effects of treatments or for patient evaluations.
7
Secure patients into or onto therapy equipment.
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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