Respiratory therapists

AI Overlap Index
32.6 / 100
Selectively Exposed

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

SOC 29-1126 · Healthcare

Bureau of Labor Statistics
Median pay
$80,450/yr
Hourly
$39/hr
Jobs 2024
139,600
Projected 2034
156,400
10-yr outlook
+12% · Much faster than average
Employment change
16,800
Entry education
Associate's degree
SOC code
29-1126

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
28.9
contribution to AOI: 17.3
Automation Potential weight 10%
40.0
contribution to AOI: 4.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
35.9
mult 1.10x
Mid
32.6
mult 1.00x
Senior
26.7
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
Important t6

Monitor and record patients' progress during treatment

AI can automatically capture vital signs from monitors, track trends, flag abnormalities, and generate progress notes from structured data. Much of the documentation and pattern recognition is automatable, though bedside assessment and interpretation of subtle clinical changes still require human oversight.

BLS evidence: Respiratory therapists 'monitor and record patients' progress' as part of their typical duties.

62
automation
Important t5

Consult with physicians about patient conditions and treatment plans

AI can synthesize patient data, suggest evidence-based treatment protocols, and draft consultation notes, but physicians expect real-time collaborative discussion about nuanced clinical decisions, especially for complex or deteriorating patients. The consultation remains substantially human-driven though AI-assisted.

BLS evidence: The duties section states therapists 'consult with physicians about patients' conditions and developing treatment plans.'

48
automation
Core t2

Perform diagnostic tests to evaluate respiratory function

AI can analyze test results and identify patterns in pulmonary function data, but the physical execution of spirometry, arterial blood gas sampling, and other diagnostic procedures requires hands-on technical skills and patient interaction that AI+robotics cannot yet replicate in clinical settings.

BLS evidence: Respiratory therapists 'perform diagnostic tests' and 'administer pulmonary function tests to assess lung capacity' and 'take blood samples and use a blood gas analyzer to test oxygen and carbon dioxide levels.'

35
automation
Supporting t8

Inspect and maintain respiratory equipment in clinical or home settings

AI can track maintenance schedules and flag equipment due for service, but physical inspection requires manual testing of circuits, checking for leaks, calibrating sensors, and troubleshooting mechanical issues. The diagnostic aspect is partially automatable but execution requires hands-on technical work.

BLS evidence: During home visits, therapists 'may inspect and clean equipment' to ensure proper functioning.

32
automation
Important t7

Teach patients and families to use medications and respiratory equipment

Teaching requires demonstrating physical techniques (inhaler use, equipment assembly), assessing patient comprehension through interaction, and adapting explanations to individual health literacy levels. While AI can generate educational materials, the hands-on demonstration and personalized coaching require human presence.

BLS evidence: Therapists 'teach patients how to take medications and use equipment,' and those in home care 'teach patients and their families to use ventilators and other life-support systems.'

25
automation
Core t4

Connect patients to ventilators and manage mechanical ventilation

Connecting patients to ventilators requires physical intubation support, manual circuit assembly, and real-time adjustment based on patient tolerance and oxygenation. While AI can suggest ventilator settings, the physical setup and moment-to-moment management of critically ill patients requires human clinical expertise and manual intervention.

BLS evidence: In emergency settings, therapists 'connect patients who cannot breathe on their own to ventilators' and 'set up and monitor the equipment to ensure that the patient is receiving the correct amount of oxygen at the correct rate.'

22
automation
Core t3

Treat patients using various therapeutic methods to improve breathing

Therapeutic methods include hands-on chest physiotherapy, postural drainage, administering nebulizer treatments, and adjusting oxygen delivery based on real-time patient response. These require physical presence, manual dexterity, and immediate clinical judgment in response to patient distress that AI cannot provide.

BLS evidence: Therapists 'treat patients using a variety of methods' and 'perform treatment to clear airways for improved breathing,' such as chest physiotherapy.

18
automation
Supporting t9

Assess home environments for safety hazards affecting respiratory care

Assessing home environments requires physical presence to identify tripping hazards, evaluate oxygen tank placement, check electrical safety, assess ventilation, and observe actual patient/family equipment use. This spatial and contextual evaluation in varied home settings is beyond current AI+robotics capabilities.

BLS evidence: Home care therapists 'check the home for environmental hazards' during patient visits.

15
automation
Core t1

Interview and examine patients with breathing or cardiopulmonary disorders

Requires physical examination skills including auscultation, palpation, and real-time assessment of patient distress in unpredictable clinical situations. AI cannot perform hands-on physical examination or make immediate bedside judgments about acute respiratory compromise.

BLS evidence: The duties section explicitly lists 'Interview and examine patients with breathing or cardiopulmonary disorders' as a primary task.

12
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
40
karpathy 4/10
  • 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 (12%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Healthcare

closest AOI neighbors in the same category