Nurse Anesthetists
Overall Exposure
2025 vs 2023
Theoretical Exposure
55What AI could do
Observed Exposure
15What AI actually does
Automation Risk Score
11Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 30 | 50 | 10 | 8 | actual |
| 2025 | 35 | 55 | 15 | 11 | estimated |
| 2026 | 40 | 60 | 20 | 14 | estimated |
| 2027 | 45 | 65 | 25 | 17 | estimated |
| 2028 | 50 | 69 | 31 | 20 | estimated |
Task Breakdown
About This Occupation
If you work as a Nurse Anesthetist, AI is augmenting your monitoring and documentation tasks. With an automation risk of 11/100 and overall exposure at 35%, this role faces medium transformation. Documentation sees the highest automation at 68%. BLS projects +9% growth through 2034.
Frequently Asked Questions
With an automation risk score of 11%, Nurse Anesthetists has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Nurse Anesthetists is 11% (2025 data). Overall AI exposure is 35%, with 55% theoretical exposure and 15% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Nurse Anesthetists are: Document anesthesia records and post-operative assessments (68%), Monitor and interpret patient monitoring data during anesthesia (52%), Administer anesthetic agents and manage airways (6%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +9% employment change for Nurse Anesthetists from 2024 to 2034. Combined with an overall AI exposure of 35%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Nurse Anesthetists should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.