AI exposure by occupation, O*NET 29-1151.00
Will AI replace Nurse Anesthetists?
Nurse Anesthetists: AI can already handle 3 of 24 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 24 tasks O*NET 30.3 lists for Nurse Anesthetists, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Assess patients' medical histories to predict anesthesia response. | Estimated | Standard | |
| Evaluate patients' post-surgical or post-anesthesia responses, taking appropriate corrective actions or requesting consultation if complications occur. | Estimated | Standard | |
| Perform or evaluate the results of diagnostic tests, such as radiographs (x-rays) and electrocardiograms (EKGs). | Estimated | Frontier | |
| Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation. | Estimated | Efficient | |
| Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques. | Estimated | Efficient | |
| Select, order, or administer anesthetics, adjuvant drugs, accessory drugs, fluids or blood products as necessary. | Estimated | Efficient | |
| Select, prepare, or use equipment, monitors, supplies, or drugs for the administration of anesthetics. | Estimated | Frontier | |
| Perform or manage regional anesthetic techniques, such as local, spinal, epidural, caudal, nerve blocks and intravenous blocks. | Estimated | Efficient | |
| Obtain informed consent from patients for anesthesia procedures. | Estimated | Efficient | |
| Perform pre-anesthetic screenings, including physical evaluations and patient interviews, and document results. | Estimated | Efficient | |
| Calibrate and test anesthesia equipment. | Estimated | Standard | |
| Administer post-anesthesia medications or fluids to support patients' cardiovascular systems. | Estimated | Efficient | |
| Select, order, or administer pre-anesthetic medications. | Estimated | Efficient | |
| Insert peripheral or central intravenous catheters. | Estimated | Efficient | |
| Insert arterial catheters or perform arterial punctures to obtain arterial blood samples. | Estimated | Efficient | |
| Discharge patients from post-anesthesia care. | Estimated | Efficient | |
| Instruct nurses, residents, interns, students, or other staff on topics such as anesthetic techniques, pain management and emergency responses. | Estimated | Standard | |
| Develop anesthesia care plans. | Estimated | Frontier | |
| Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in nursing. | Estimated | Standard | |
| Request anesthesia equipment repairs, adjustments, or safety tests. | Estimated | Efficient | |
| Disassemble and clean anesthesia equipment. | Estimated | No tier | |
| Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques. | Estimated | No tier | |
| Prepare prescribed solutions and administer local, intravenous, spinal, or other anesthetics, following specified methods and procedures. | Estimated | No tier | |
| Select and prescribe post-anesthesia medications or treatments to patients. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 24 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 24 of 24. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 71% of the role's importance-weighted task work. 84% of the work is something AI can address at some tier, and 16% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 51,840
- Median annual wage
- $236,590
- Middle half of earners
- $206,730 to $294,350
- Projected change, 2024 to 2034
- +8.6%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Anesthesiologists 78% skill overlap, about 8 months to move Exposure39
- Anesthesiologist Assistants 74% skill overlap, about 9 months to move Exposure35
- Nurse Practitioners 68% skill overlap, about 12 months to move Exposure41
- Registered Nurses 64% skill overlap, about 13 months to move Exposure36
- Critical Care Nurses 61% skill overlap, about 14 months to move Exposure54
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Nurse Anesthetists and AI
Will AI replace Nurse Anesthetists?
AI already handles 3 of the 24 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 47 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +8.6% from 2024 to 2034.
What is the AI exposure of Nurse Anesthetists?
47 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 24 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 24 are estimated from each task's O*NET work activity.
Which Nurse Anesthetists tasks can AI already do?
The tasks with the highest exposure are: Assess patients' medical histories to predict anesthesia response; Evaluate patients' post-surgical or post-anesthesia responses, taking appropriate corrective actions or requesting consultation if complications occur; Perform or evaluate the results of diagnostic tests, such as radiographs (x-rays) and electrocardiograms (EKGs). They are the tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 71% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Nurse Anesthetists, and what do they earn?
51,840 people in the United States, with a median annual wage of $236,590 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +8.6% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Nurse Anesthetists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/nurse-anesthetists
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