Resilient

Last Update: 7/31/2026

AI Resilience Score for Respiratory Therapists:

77.2%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient respiratory therapy is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For respiratory therapists, six of eight sources had data, with Anthropic and OpenAI Signals unavailable. The remaining sources agreed closely: AI Resilience Model, Microsoft, and Will Robots Take My Job all rated AI exposure as low, boosting confidence to medium-high. Strong hiring and pay signals pushed the score to 77.2%, earning a "Resilient" label.

AI Resilience Report forRespiratory Therapists

$82,280 median salary8,800 annual openingsSOC Code: 29-1126.00

Respiratory Therapists are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Respiratory therapy is labeled "Resilient" because the heart of this job, including hands-on patient care, emergency response, and real-time bedside judgment, is extremely difficult for AI to replicate. While smart ventilators and AI diagnostic tools are getting better at tasks like spotting breathing pattern errors and shortening time on ventilators, a respiratory therapist still needs to set up equipment, respond to alarms, comfort anxious patients, and make quick calls that require human instinct and experience.

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This role is resilient

Respiratory therapy is labeled "Resilient" because the heart of this job, including hands-on patient care, emergency response, and real-time bedside judgment, is extremely difficult for AI to replicate. While smart ventilators and AI diagnostic tools are getting better at tasks like spotting breathing pattern errors and shortening time on ventilators, a respiratory therapist still needs to set up equipment, respond to alarms, comfort anxious patients, and make quick calls that require human instinct and experience.

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Analysis of Current AI Resilience

Respiratory Therapists

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Respiratory Therapists jobs?

Right now, AI in respiratory care is mostly helping therapists — not replacing them. A 2026 scoping review in npj Primary Care Respiratory Medicine found that in pulmonary function testing, algorithms detect technical errors and classify spirometric patterns, some claiming to outperforming pulmonologists, and that for monitoring and prediction, AI helps shorten weaning from mechanical ventilation and guides closed-loop strategies for acute respiratory distress. A July 2025 Cochrane review of automated weaning systems found they probably reduce the time on the ventilator by around 24%, or 1.7 days in adults and 16 hours in children, and probably reduce the length of stay in the intensive care unit by around 14%.

So the ventilator itself is getting smarter, but a respiratory therapist still has to set it up, watch the patient, troubleshoot alarms, and make judgment calls. Hands-on tasks like emergency CPR, patient transport, and bedside lung-capacity tests [1] — which O*NET rates as only 4–8% automatable — remain firmly human work. Even the AARC's 2026–2028 Strategic Plan [2] frames AI as "knowledge assistance" to support members, not a replacement for them.

Sources

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AI Adoption

How fast is AI adoption growing for Respiratory Therapists?

Adoption is moving steadily but cautiously. On the "speed up" side, hospitals face a real labor crunch: the U.S. Bureau of Labor Statistics projects employment of respiratory therapists will grow 12% from 2024 to 2034, much faster than average, with about 8,800 openings each year [1], and Fusion Medical Staffing notes a wave of retirements and rising chronic lung disease driving demand [3]. That shortage pushes hospitals to buy smart ventilators and AI diagnostic tools that stretch each RT further.

Slowing things down: a Frontiers in Digital Health review notes the field is still in an "evolution phase," needing widely accepted standards before broad clinical use [4], and the Nature review warns that realizing these benefits will require rigorous multicentre validation and real-world evidence, plus proactive bias detection and mitigation with inclusive sampling and equity audits. Capital costs for new ventilator fleets, FDA oversight, and patient-safety culture all slow the rollout. The encouraging takeaway: AI is reshaping the tools RTs use, but the empathy, quick thinking, and physical care this job demands keep humans firmly at the bedside.

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Will AI replace Respiratory Therapists?

Will AI replace Respiratory Therapists?

No. We don't think AI will replace Respiratory Therapists, but the tools they use are getting smarter fast.

We give this career a 77.2% AI Resilience Score, and the evidence backs it up. AI is already helping RTs work more efficiently: automated weaning systems probably reduce time on a ventilator by around 24% and shorten ICU stays, and algorithms can flag errors in pulmonary function tests [4]. But the ventilator getting smarter does not mean the therapist becomes unnecessary. Someone still has to set it up, respond to alarms, make judgment calls at 2 a.m., and actually be present with a scared patient struggling to breathe. Those hands-on, high-stakes moments are not going away.

The job market reinforces this. The Bureau of Labor Statistics projects 12% employment growth from 2024 to 2034, much faster than average, with roughly 8,800 openings each year [1]. A wave of retirements and rising chronic lung disease are driving demand [3], and the AARC frames AI as a knowledge-assistance tool for its members, not a replacement [2].

If you are considering this career, lean into the clinical judgment, communication, and emergency response skills that AI simply cannot replicate.

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Latest AI news for Respiratory Therapists

These articles highlight the transformative role of AI in respiratory therapy, emphasizing how it will enhance diagnostic accuracy and patient care. For instance, the collaborative strategies discussed in the Nature article can help respiratory therapists work alongside AI to improve diagnoses of conditions like acute respiratory distress syndrome. Additionally, the FDA's clearance of AI-driven diagnostic tools, such as Fibresolve, underscores the importance of integrating technology into practice, offering therapists new ways to support patient health. Embracing these advancements can foster AI resilience in your career, ensuring you remain at the forefront of respiratory care.

More Career Info

Career: Respiratory Therapists

They help people breathe better by treating lung problems, giving oxygen, and teaching patients how to use breathing equipment.

Employment & Wage Data

Median Wage

$82,280

Jobs (2024)

139,600

Growth (2024-34)

+12.1%

Annual Openings

8,800

Education

Associate's degree

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

96% ResilienceCore Task

Provide emergency care, such as artificial respiration, external cardiac massage, or assistance with cardiopulmonary resuscitation.

2

96% ResilienceSupplemental

Monitor cardiac patients, using electrocardiography devices, such as a holter monitor.

3

95% ResilienceSupplemental

Perform endotracheal intubation to maintain open airways for patients who are unable to breathe on their own.

4

94% ResilienceCore Task

Transport patients to the hospital or within the hospital.

5

92% ResilienceCore Task

Perform bronchopulmonary drainage and assist or instruct patients in performance of breathing exercises.

6

92% ResilienceCore Task

Conduct tests, such as electrocardiograms (EKGs), stress testing, or lung capacity tests, to evaluate patients' cardiopulmonary functions.

7

90% ResilienceCore Task

Use a variety of testing techniques to assist doctors in cardiac or pulmonary research or to diagnose disorders.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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