Physical therapist assistants and aides

AI Overlap Index
30.8 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC 31-2020 · Healthcare

Bureau of Labor Statistics
Median pay
$60,050/yr
Hourly
$29/hr
Jobs 2024
157,100
Projected 2034
182,900
10-yr outlook
+16% · Much faster than average
Employment change
25,800
Entry education
See How to Become One
SOC code
31-2020

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
30.0
contribution to AOI: 18.0
Automation Potential weight 10%
30.0
contribution to AOI: 3.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
33.9
mult 1.10x
Mid
30.8
mult 1.00x
Senior
25.3
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Supporting t9

Perform clerical tasks such as answering phones and scheduling patients

Phone answering, appointment scheduling, and basic clerical work are highly automatable via AI voice assistants, scheduling software, and administrative automation; these tasks involve structured information handling that current AI handles well, requiring minimal human intervention except for complex edge cases.

BLS evidence: Aides 'do clerical tasks, such as answering phones and scheduling patients' and complete 'a variety of clerical tasks, such as ordering supplies, scheduling treatment sessions, and completing insurance forms.'

82
automation
Important t6

Record patients' progress and treatment results

AI excels at structured documentation from dictation or form inputs, can auto-populate progress notes from standardized assessments, and track quantitative outcomes; human review needed mainly for clinical judgment calls and unusual cases, but most routine documentation can be AI-automated with light oversight.

BLS evidence: Assistants 'record patients' progress and report the results of each treatment to the physical therapist.'

72
automation
Important t5

Educate patients and family members about post-treatment care

AI can generate educational content, answer common questions via chatbot, and provide standardized instructions, but effective patient education requires reading comprehension levels, cultural context, addressing specific concerns, and building rapport—AI can draft materials and handle routine queries but humans must personalize delivery.

BLS evidence: Physical therapist assistants 'educate patients and family members about what to do after treatment.'

48
automation
Important t3

Observe patients before, during, and after therapy and report status to physical therapist

AI vision systems could track some movement patterns and vital signs, and flag anomalies, but nuanced clinical observation of pain behaviors, compensation patterns, effort level, and subtle status changes requires human judgment; AI could assist with structured monitoring but cannot replace the observational expertise.

BLS evidence: Physical therapist assistants 'observe patients before, during, and after therapy, noting the patient's status and reporting it to a physical therapist.'

35
automation
Supporting t7

Clean treatment areas and set up therapy equipment

Involves physical tasks in varied clinic layouts—wiping surfaces, moving equipment between rooms, adjusting treatment tables—requiring navigation of dynamic environments and manual dexterity that current robotics cannot reliably perform in typical clinical settings without major infrastructure investment.

BLS evidence: Physical therapist aides 'clean treatment areas and set up therapy equipment' and are 'responsible for keeping the treatment area clean and organized.'

18
automation
Important t4

Use devices and equipment such as walkers to assist patients

Requires physical assistance with gait training and assistive devices in dynamic, unpredictable environments where patients may lose balance or need immediate support; current robotics lack the dexterity, responsiveness, and safety reliability needed for hands-on patient mobility assistance.

BLS evidence: Assistants 'use devices and equipment, such as walkers, to help patients' as part of their treatment duties.

15
automation
Core t1

Help patients perform specific exercises as part of the plan of care

Requires real-time physical presence to guide patients through exercises, provide hands-on corrections to form, ensure safety during movement, and adapt based on immediate physical feedback like pain or fatigue responses that AI+robotics cannot reliably detect or respond to in unpredictable rehabilitation contexts.

BLS evidence: Physical therapist assistants 'help patients do specific exercises as part of the plan of care' and 'treat patients through exercise, massage, gait and balance training, and other therapeutic interventions.'

12
automation
Supporting t8

Help patients move to or from therapy areas

Requires physically supporting patients with varying mobility limitations, balance issues, and unpredictable movements during transfers; demands real-time strength, balance assistance, and safety judgment that AI-enabled robotics cannot provide safely in clinical rehabilitation contexts.

BLS evidence: Aides 'help patients move to or from a therapy area' and assist 'patients as needed in moving to or from a treatment area.'

10
automation
Core t2

Treat patients using therapeutic techniques such as massage and stretching

Demands skilled manual therapy requiring fine motor control, tactile feedback to assess tissue quality and patient response, and real-time adjustment of pressure and technique based on patient comfort and therapeutic goals—capabilities far beyond current AI-enabled robotics in clinical settings.

BLS evidence: Assistants 'treat patients using a variety of techniques, such as massage and stretching' under the direction and supervision of physical therapists.

8
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
30
karpathy 3/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Much faster than average
  • BLS projected outlook: Much faster than average (16%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: See How to Become One
  • BLS typical entry-level education: See How to Become One
  • Credential trend signal (annual refresh)

Related in Healthcare

closest AOI neighbors in the same category