SAFE
A CRNA's hour-by-hour work is physical and high-stakes: intubating, placing IV and regional blocks, titrating drugs to a patient's live hemodynamics, and rescuing airways when a case goes wrong. AI can pre-screen charts, draft anesthesia records, and flag risk scores, but no current system can hold a laryngoscope or own the decision to push epinephrine. State licensure plus APRN scope rules require a credentialed human physically present and personally liable for every case.
Dipped in 2020, then grew past where it started.
Median pay $174,790 → $236,590 +8.3% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+8.6% 53,800 → 58,500 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +8.6% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~2,700 openings a year on average, including replacing people who leave.
Nurse AnesthetistAnesthesia PhysicianAnesthesia SpecialistStaff Nurse AnesthetistCertified Nurse AnesthetistCertified Registered Nurse Anesthetist (CRNA)Staff Certified Registered Nurse Anesthetist (Staff CRNA)
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Closed-loop propofol TCI systems and automated record-keeping shave off the documentation and steady-state infusion adjustments, but the core of the day — mask ventilation, direct or video laryngoscopy on an unexpected Grade III airway, ultrasound-guided interscalene or adductor canal blocks, and repositioning a patient whose blood pressure drops on turning prone — has no digitisable substitute, which is why this sits at 17 rather than a perfect 20.
Hands-on in uncontrolled environments You are gloved and at the head of the bed in an OR, obstetric suite, or endoscopy room for the whole case: hands on the airway, drawing and pushing drugs, doing cricoid pressure, managing a Bair Hugger and lines, and physically moving with the patient to PACU — the only reason it isn't 20 is that the environment is a controlled OR rather than a roadside or rooftop.
Licensed human required and personally liable CRNAs hold an RN licence plus NBCRNA certification and independent APRN prescriptive authority, sign their own anesthesia record, and in opt-out states bill and are sued in their own name without a physician co-signature — the 19 rather than 20 reflects that in supervised-practice states an anesthesiologist may share captain-of-the-ship exposure.
Exists to be accountable for ambiguous calls You decide alone and in seconds whether a desaturating patient needs a supraglottic rescue or a surgical airway, whether that ST change is ischemia or artifact, whether to proceed with a case when the potassium comes back at 6.1, and how much bupivacaine is safe in a 48kg patient on anticoagulants — irreversible calls with no time to escalate, which is what 19 looks like.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (17/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (19/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (19/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 53 of this occupation's 89 points (60%).
Embodiment (19/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 96/100, still SAFE.
Hospital or surgery-center marketing and payer contracts that specify a dedicated 1:1 anesthesia provider per case rather than anesthesiologist-directed teams covering 4 rooms with monitoring software; also patient-consent forms that name and disclose the individual provider, which some state informed-consent statutes (e.g., Pennsylvania's MCARE Act) already push toward
If closed-loop TIVA/TCI depth-of-anesthesia titration systems (McSleepy-type, and BIS-guided propofol control now in trials) take over routine ASA I-II maintenance, the residual CRNA caseload skews to ASA III-IV, difficult airways, obstetric and trauma emergencies — the judgment tier — raising the share of the day AI cannot do
CMS finalizing removal of the physician-supervision opt-out ambiguity in favor of full independent CRNA billing/practice in more states (currently ~25 opt-out states; state bills in Ohio, Pennsylvania, Michigan recur), plus Joint Commission or malpractice-carrier requirements that a named anesthesia provider physically present sign the intraoperative record — makes the CRNA the sole liable signer rather than a co-signer
Little headroom; already near ceiling. A formal requirement that the anesthesia provider hold veto authority over surgical go/no-go on airway or hemodynamic grounds, written into hospital bylaws, would harden it
The limit. At 89/100 with four dimensions at 17-19, the realistic gain is a few points in trust_premium; everything else is at or near ceiling. The larger risk to this occupation is not AI substitution but staffing-model economics — anesthesiologist-directed team ratios widening as monitoring software improves, which cuts headcount without touching any dimension score.
| New York-Newark-Jersey City, NY-NJ | 2,310 | $321,030 +36% |
| Dallas-Fort Worth-Arlington, TX | 1,290 | $218,650 -8% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 1,250 | $258,570 +9% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,190 | $238,540 +1% |
| Detroit-Warren-Dearborn, MI | 1,170 | $243,130 +3% |
| Tampa-St. Petersburg-Clearwater, FL | 1,070 | $206,270 -13% |
| Kansas City, MO-KS | 980 | $218,080 -8% |
| Charlotte-Concord-Gastonia, NC-SC | 910 | $277,550 +17% |
| Jacksonville, FL | 340 | $416,000 +76% |
| Fayetteville, NC | 90 | $331,760 +40% |
| New York-Newark-Jersey City, NY-NJ | 2,310 | $321,030 +36% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 89. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.