Resilient

Last Update: 10/7/2026

AI Resilience Score for Nurse Anesthetists:

65.9%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient nurse anesthesia 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 nurse anesthetists, 6 of 8 sources had data, and most agreed on AI exposure: Microsoft, Will Robots Take My Job, and OpenAI Signals all rated the human contribution as High, with our AI Resilience Model a step lower at Medium. Strong pay signals balanced a moderate hiring outlook, landing this career at "Resilient" with medium-high confidence.

AI Resilience Report forNurse Anesthetists

$236,590 median salary•2,400 annual openings•SOC Code: 29-1151.00

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

Nurse anesthetists are labeled "Resilient" because the core of their work relies on human judgment, split-second decision-making, and hands-on crisis response that AI simply cannot replicate on its own. While AI tools are stepping in as helpful co-pilots (predicting breathing problems early, improving drug delivery, and flagging risks before alarms sound), they are designed to assist CRNAs, not replace them.

Learn more about how you can thrive in this position

This role is resilient

Nurse anesthetists are labeled "Resilient" because the core of their work relies on human judgment, split-second decision-making, and hands-on crisis response that AI simply cannot replicate on its own. While AI tools are stepping in as helpful co-pilots (predicting breathing problems early, improving drug delivery, and flagging risks before alarms sound), they are designed to assist CRNAs, not replace them.

Read full analysis

Analysis of current AI resilience

Nurse Anesthetists

Updated quarterly

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How can Nurse Anesthetists prepare for AI?

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Latest AI news for Nurse Anesthetists

These articles highlight how AI is transforming the field of nurse anesthetists, presenting both opportunities and challenges. For instance, advancements in AI could enhance patient monitoring and safety, as discussed in the wearable camera study, which aims to reduce medication errors. However, the discussion on AI’s impact on workforce dynamics reveals that while automation poses risks, the unique human skills of nurse anesthetists—like critical thinking and empathy—remain invaluable. This suggests a need for adaptability and ongoing learning, ensuring that future nurse anesthetists thrive alongside evolving technology.

More Career Info

Career: Nurse Anesthetists

They help patients stay pain-free during surgeries by giving anesthesia and monitoring their vital signs to ensure their safety.

Employment & Wage Data

Median Wage

$236,590

Jobs (2025)

54,500

Growth (2025-35)

+9.7%

Annual Openings

2,400

Education

Master's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

98% ResilienceCore Task

Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques.

2

98% ResilienceCore Task

Insert arterial catheters or perform arterial punctures to obtain arterial blood samples.

3

97% ResilienceCore Task

Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.

4

97% ResilienceCore Task

Perform or manage regional anesthetic techniques, such as local, spinal, epidural, caudal, nerve blocks and intravenous blocks.

5

97% ResilienceCore Task

Prepare prescribed solutions and administer local, intravenous, spinal, or other anesthetics, following specified methods and procedures.

6

97% ResilienceCore Task

Insert peripheral or central intravenous catheters.

7

96% ResilienceCore Task

Administer post-anesthesia medications or fluids to support patients' cardiovascular systems.

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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