Share and intensity of work current AI systems can materially affect.
SOC 29-1211
Anesthesiologists AI displacement risk
Closed-loop sedation systems can titrate drugs automatically — a real technological frontier. But anesthesia is continuous crisis-readiness: airway emergencies, hemodynamic crashes, and split-second intervention keep a physician responsible for every patient.
Likely potential for exposed tasks to move to software after workflow integration.
Automated sedation works on stable, routine cases under supervision, which is how it will be deployed — extending one anesthesiologist across more rooms rather than replacing them. The liability and emergency response core is not negotiable.
Distribution
Where Anesthesiologists sits across 620 tracked roles
Displacement pressure 16 — higher than 14% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
20 O*NET task statements matched to SOC 29-1211. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $391,490 (May 2025, US national). The latest BLS row matched SOC 29-1211.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Anesthesiologists
SOC 29-1211 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Anesthesiologists
The current evidence import matched 20 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks20
SOC29-1211
- Core task / ID 7757
Examine patient, obtain medical history, and use diagnostic tests to determine risk during surgical, obstetrical, and other medical procedures.
- Core task / ID 7753
Administer anesthetic or sedation during medical procedures, using local, intravenous, spinal, or caudal methods.
- Core task / ID 7756
Record type and amount of anesthesia and patient condition throughout procedure.
- Core task / ID 7754
Monitor patient before, during, and after anesthesia and counteract adverse reactions or complications.
- Core task / ID 7759
Decide when patients have recovered or stabilized enough to be sent to another room or ward or to be sent home following outpatient surgery.
- Core task / ID 7760
Coordinate administration of anesthetics with surgeons during operation.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Administer anesthesia and manage airways
Exposure 18, automation 6%, augmentation 38%.
Monitor patients and counteract complications
Exposure 24, automation 10%, augmentation 54%.
O*NET evidence: Monitor patient before, during, and after anesthesia and counteract adverse reactions o... (ID 7754)
Assess surgical risk before procedures
Exposure 34, automation 13%, augmentation 60%.
O*NET evidence: Examine patient, obtain medical history, and use diagnostic tests to determine risk dur... (ID 7757)
Record anesthesia and patient condition
Exposure 52, automation 28%, augmentation 68%.
O*NET evidence: Record type and amount of anesthesia and patient condition throughout procedure. (ID 7756)
TaskExposureAutomationAugmentation
Administer anesthesia and manage airways186%38%
Monitor patients and counteract complications2410%54%
Assess surgical risk before procedures3413%60%
Record anesthesia and patient condition5228%68%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowAnesthesia Care Team Director
Training horizon: 3-8 months. Skill overlap 74. Wage preservation signal 106.
- Supervise anesthesia care teams
- Own sedation system protocols
- Lead OR efficiency programs
credentialed transition
LowPain Medicine Specialist
Training horizon: 12-24 months. Skill overlap 66. Wage preservation signal 108.
- Complete pain fellowship
- Build interventional procedure skills
- Develop chronic pain programs
Comparison guides
Compare the next move before you commit
3-8 months
Anesthesiologists to Anesthesia Care Team Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Anesthesiologists into Anesthesia Care Team Director.
12-24 months
Anesthesiologists to Pain Medicine Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Anesthesiologists into Pain Medicine Specialist.
What the AI risk score means for Anesthesiologists
The displacement pressure score for Anesthesiologists is 16. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Record anesthesia and patient condition carries 28% automation pressure, while Record anesthesia and patient condition carries 68% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $391,490 (May 2025, US national). Employment context: Perioperative specialty with closed-loop sedation systems in trials. Typical education: Doctoral degree plus anesthesiology residency and board certification.
Wage vulnerability is 20, while transition feasibility is 60. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Closed-loop systems extend coverage
- Emergency accountability stays human
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Anesthesiologists, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Airway management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Physiological monitoring
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Crisis response
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
AI sedation oversight
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Anesthesia Care Team Director, such as supervise anesthesia care teams.
- By 90 days, compare internal openings and external postings for Anesthesia Care Team Director or Pain Medicine Specialist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Anesthesiologists
Will AI replace Anesthesiologists?
Closed-loop sedation systems can titrate drugs automatically — a real technological frontier. But anesthesia is continuous crisis-readiness: airway emergencies, hemodynamic crashes, and split-second intervention keep a physician responsible for every patient. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Anesthesiologists work are most exposed to AI?
Record anesthesia and patient condition and Assess surgical risk before procedures show the strongest automation pressure in this model. Record anesthesia and patient condition and Assess surgical risk before procedures are better treated as AI-augmented work.
What should Anesthesiologists learn next?
Start with Airway management, Physiological monitoring, Crisis response. The most practical adjacent paths in this model are Anesthesia Care Team Director and Pain Medicine Specialist.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics