Nurse Anesthetists

Minimal Risk
18%
Where Would You Like to Go Next?
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Vote Comments (6)
Or, Explore This Profession in Greater Detail...
AUTOMATION RISK
CALCULATED
0.0%
(Minimal Risk)
POLLING
36%
(Low Risk)
Average: 18%
LABOR DEMAND
GROWTH
10.4%
by year 2033
WAGES
$212,650
or $102.23 per hour
Volume
47,810
as of 2023
SUMMARY
JOB SCORE
8.0/10

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Calculated automation risk

0.0% (Minimal Risk)

Minimal Risk (0-20%): Occupations in this category have a low probability of being automated, as they typically demand complex problem-solving, creativity, strong interpersonal skills, and a high degree of manual dexterity. These jobs often involve intricate hand movements and precise coordination, making it difficult for machines to replicate the required tasks.

More information on what this score is, and how it is calculated is available here.

Some very important qualities of the job are difficult to automate:

  • Assisting and Caring for Others

Some quite important qualities of the job are difficult to automate:

  • Social Perceptiveness

  • Cramped Work Space, Awkward Positions

  • Finger Dexterity

  • Manual Dexterity

  • Originality

  • Persuasion

  • Negotiation

User poll

36% chance of full automation within the next two decades

Our visitors have voted there's a low chance this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 0.0% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Nurse Anesthetists will be replaced by robots or artificial intelligence within the next 20 years?






Sentiment

The following graph is included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.

Sentiment over time (yearly)

Growth

Very fast growth relative to other professions

The number of 'Nurse Anesthetists' job openings is expected to rise 10.4% by 2033

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Wages

Very high paid relative to other professions

In 2023, the median annual wage for 'Nurse Anesthetists' was $212,650, or $102 per hour

'Nurse Anesthetists' were paid 342.5% higher than the national median wage, which stood at $48,060

Wages over time

* Data from the Bureau of Labor Statistics

Volume

Moderate range of job opportunities compared to other professions

As of 2023 there were 47,810 people employed as 'Nurse Anesthetists' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 3 thousand people are employed as 'Nurse Anesthetists'.

Job description

Administer anesthesia, monitor patient's vital signs, and oversee patient recovery from anesthesia. May assist anesthesiologists, surgeons, other physicians, or dentists. Must be registered nurses who have specialized graduate education.

SOC Code: 29-1151.00

Comments

Greg 7 days ago
I see CRNA as a likely candidate not to be replaced completely in the near term, but for AI to dramatically reduce the expertise needed. The complexity of administering anesthesia and the ease of making a mistake is exactly why it will be ripe for AI. AI already excels at making sense of complex data and reducing human error. "Anesthesia is an art form" Okay, well look at the art AI is already producing. It has already shown a propensity for creative writing, music, and images, among others. Oftentimes it's indistinguishable from human creativity. What I doubt AI can do the most is actually the dexterity portion of the job.

Step 1: Develop the AI. The data inputs are already there - AI can already read a patient's charts, monitor their vitals, and transcribe feedback/instruction from the surgeon. If an AI can be developed that takes that information and selects which drugs to administer, that removes nearly all the brainpower and expertise needed from a CRNA.
Step 2: Train someone to intubate and the other physical labor parts of the job. Pay them 1/3 of what you pay a CRNA.
Step 3: An Anesthesiologist monitors multiple rooms simultaneously (like they already do with CRNAs) as a failsafe against errors by the AI and is present during critical periods like induction and emergence, intervening if there's an emergency.
0 0 Reply
L. (Highly likely) 2 months ago
With the right machine they could administer anesthesia and monitor a patient simultaneously. Especially with the growth of engineering jobs in designing new technology for the medical field.
0 0 Reply
Andre (No chance) 4 months ago
Anesthesia is one of the most complicated areas in medicine and is incredibly dangerous when even the slightest mishap occurs. It requires creativity as not every scenario is cut and dry. It is well beyond just "putting someone to sleep". Anesthesiology involves critical communication, ethical decision making, risk management, manual labor, emergency management, situational awareness, and knowing what to do when inevitably one of the many many medical devices we use fails. I believe one day AI will be able to accomplish any job but the sheer complexity of anesthesiology is far beyond the capabilities that the average person may think a robot will be able to achieve in 20 years.
0 1 Reply
Lucas (Moderate) 7 months ago
we alredy use robot for micro stiches so we most likely will do that soon.
1 0 Reply
Darrel Cooper CRNA (No chance) 1 year ago
Every patient, and every case is different. No A.I. machine could handle all the nuances and multiple causative factors that determine the outcome of an anesthetic. Also, good anesthesia is part art and part experience and knowledge. A A.I. robot could never master this.
0 1 Reply
Kathy (No chance) 1 year ago
Manual dexterity, complex procedural skills, interpersonal skills, ability to comfort and reduce fear on part of the patient, rapid decision making based on knowledge, combined with intuition.
0 0 Reply

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