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STRATUSWORKFORCE SCAN

Anesthesiologists

In short: today's best AI models could do about 32% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 40% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 60% of the time, stays with people.

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Administer anesthetics and analgesics for pain management prior to, during, or after surgery.

38,760 people do this job in the US. $391,490 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on13 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet3 h
  • Stays with people24 h

Anesthesiologists, now: of a 40-hour week, AI could take on 13 hours, 0 hours become checking its work, 3 hours are desk work it can't do yet, and 24 hours stay with people.

The largest pieces: Manage anesthesiological services, coordinating them with other medical activities and formulating plans and procedures (about 5 h); Record type and amount of anesthesia and patient condition throughout procedure (about 2 h); Inform students and staff of types and methods of anesthesia administration, signs of complications, and emergency methods to counteract reactions (about 2 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
32%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 40%
  • 12%
  • 48%
0%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 40% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 18%. Today's estimate: 32%.

0%10%20%30%40%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 5% within reachGPT-5, August 2025: 7% within reachGemini 3 Pro, November 2025: 9% within reachClaude Opus 4.5, November 2025: 9% within reachGPT-5.2, December 2025: 11% within reachClaude Opus 4.6, February 2026: 11% within reachClaude Mythos Preview (early), April 2026: 18% within reachToday (estimate), November 2026: 32% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.011% went to this job's tasks in May 2026, the 350th largest of the 447 jobs that showed up at all; 1 of its 20 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0033% to 0.0032% (released February and March 2025); 0.021% to 0.0094% (August 2025 to February 2026); none to 0.011% (April to May 2026).

0%0.025%0.05%20252026released February 2025: 0.0033%released March 2025: 0.0032%the week of Aug 4, 2025: 0.021%the week of Nov 13, 2025: 0.0095%the week of Feb 5, 2026: 0.0094%April 2026: noneMay 2026: 0.011%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.0033%646 of 7081 of 20
Released March 20250.0032%621 of 7031 of 20
The week of Aug 4, 20250.021%365 of 6553 of 20
The week of Nov 13, 20250.0095%484 of 6721 of 20
The week of Feb 5, 20260.0094%505 of 6771 of 20
April 2026nonen/a0 of 20
May 20260.011%350 of 4471 of 20

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 61% of this job's working time as physical work. For 12% of the working time, a robot has been shown doing most of the task somewhere: 12% in a structured facility. 0.24 of 3, the 409th highest of the 923 jobs.

  • Not physical 39%
  • No robot shown 49%
  • In a structured facility 12%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 20 tasks from .

TaskKind
Manage anesthesiological services, coordinating them with other medical activities and formulating plans and procedures.Done more than weekly by most who do it. 19%3.3 h50 min to 1.7 work days71%Half by now
Monitor patient before, during, and after anesthesia and counteract adverse reactions or complications.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating.15%1.3 h25 min to 3.3 hStays with people
Administer anesthetic or sedation during medical procedures, using local, intravenous, spinal, or caudal methods.Done hourly or more by most who do it. Robots: in a structured facility, Automated anesthesia control system (University of Fukui / Japanese closed-loop TIVA system) (demonstrated). Anthropic's rating.10%50 min17 min to 3.3 hStays with people
Examine patient, obtain medical history, and use diagnostic tests to determine risk during surgical, obstetrical, and other medical procedures.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating.6%29 min17 min to 50 minStays with people
Record type and amount of anesthesia and patient condition throughout procedure.Done hourly or more by most who do it. 6%25 min8 min to 1.7 h100%Half by now
Coordinate administration of anesthetics with surgeons during operation.Done hourly or more by most who do it. 5%25 min8 min to 1.7 hStays with people
Coordinate and direct work of nurses, medical technicians, and other health care providers.Done hourly or more by most who do it. 5%38 min13 min to 1.7 hStays with people
Provide and maintain life support and airway management and help prepare patients for emergency surgery.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.4%50 min17 min to 1.7 hStays with people
Teach anesthesiology principles to residents.Done several times a day by most who do it. 4%1.3 h25 min to 2.5 hStays with people
Inform students and staff of types and methods of anesthesia administration, signs of complications, and emergency methods to counteract reactions.Done daily by most who do it. 4%50 min17 min to 2.1 h100%Half by now
Conduct medical research to aid in controlling and curing disease, to investigate new medications, and to develop and test new medical techniques.Done yearly or less by most who do it. Robots: no robot shown. Anthropic's rating.4%2.1 work days6.7 h to 4.2 work days35%Half by Jan 2027
Provide medical care and consultation in many settings, prescribing medication and treatment and referring patients for surgery.Done daily by most who do it. 4%38 min17 min to 1.3 h100%Half by now

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).

Questions about this job

How much of the work of Anesthesiologists is within reach of AI now?
An estimated 32% of the working time is within reach of AI models now and 41% by the end of 2028, on METR's long-run pace at four in five (40% to 41% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Anesthesiologists come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Manage anesthesiological services, coordinating them with other medical activities and formulating plans and procedures (71% of the task's time now, 100% by the end of 2028); Record type and amount of anesthesia and patient condition throughout procedure (100% of the task's time now); and Inform students and staff of types and methods of anesthesia administration, signs of complications, and emergency methods to counteract reactions (100% of the task's time now).
Which tasks of Anesthesiologists stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Monitor patient before, during, and after anesthesia and counteract adverse reactions or complications; Administer anesthetic or sedation during medical procedures, using local, intravenous, spinal, or caudal methods; and Examine patient, obtain medical history, and use diagnostic tests to determine risk during surgical, obstetrical, and other medical procedures. Together such tasks are about 60% of the working time.
Do people already use AI for the work of Anesthesiologists?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.011% went to this job's tasks, the 350th largest share of the 447 jobs that showed up; 1 of its 20 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Anesthesiologists?
Anthropic's robot exposure rating (September 2026) finds 61% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 12% of the working time, 12% in a structured facility. Its index is 0.24 of 3. One example: Automated anesthesia control system (University of Fukui / Japanese closed-loop TIVA system) for "administer anesthetic or sedation during medical procedures, using local, intravenous, spinal, or caudal methods". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 20 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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