Healthcare Practitioners and Technical · United States (national)
Nurse Anesthetists
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.5 to 24.5
Physical / roboticsrange 30.0 to 54.0
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Pivot toward Nurse Practitioners
It is skill-adjacent and less exposed (35.9 vs 42). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.
100.0
Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques.
42.0
Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques.
50.0
Select, order, or administer anesthetics, adjuvant drugs, accessory drugs, fluids or blood products as necessary.
50.0
Select, prepare, or use equipment, monitors, supplies, or drugs for the administration of anesthetics.
100.0
Assess patients' medical histories to predict anesthesia response.
50.0
Perform or manage regional anesthetic techniques, such as local, spinal, epidural, caudal, nerve blocks and intravenous blocks.
42.0
Develop anesthesia care plans.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.
Task: Select, prepare, or use equipment, monitors, supplies, or drugs for the administration of anesthetics.
Local demand is growing
Lower-risk adjacent roles
Nurse Practitioners
35.9
Anesthesiologists
37.4
Registered Nurses
38.1
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Nurse Anesthetists to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 12.5, robotics 42.0.
The timeline comes from the higher axis (42.0), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.