Will AI replace Nurse Anesthetists?

Administer anesthesia, monitor patient's vital signs, and oversee patient recovery from anesthesia. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 29-1151.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
8%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation share
8%Automatable
Automatable8%
Augmentable51%
Hard to automate41%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Healthcare
Clinical & Care
Modeled pay midpoint$
$76,100/yr
Directional estimate — verify locally
Time until impact
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability
Representative tasks ranked from highest to lowest AI exposure.
Clinical accountability and hands-on care31%
Patient trust and complex diagnosis27%
Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.18%
Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques.12%
Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques.12%
Impact timeline
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in clinical accountability and hands-on care.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Nurse Anesthetists.
02>AI can help with: Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Clinical accountability and hands-on care.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 8% is estimated task exposure—not a 8% chance of losing the job.
What AI can do
Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.LOW MATCH
Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques.LOW MATCH
Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques.LOW MATCH
How estimates work →
Your human moat

Clinical accountability and hands-on care

HIGH MOAT

Combined with patient trust and complex diagnosis, this keeps a human in the loop.

Strength9.1
Similar-role comparison
RoleRisk
Nurse Anesthetists8%
Nurse Midwives8%
Registered Nurses8%
Genetic Counselors8%
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Why this score?

The model evaluates 3 representative core tasks.
The core work depends on presence, dexterity, or accountability.
Occupation and task language comes from O*NET 30.3.
The strongest human advantage is clinical accountability and hands-on care.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
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