SAFE
The core of this job is operating on infants and children — neonatal bowel obstructions, congenital anomalies, trauma laparotomies — with hands inside a small, anatomically variable body, plus resuscitating unstable patients and telling parents what happens next. Surgical robots today are master-slave tools fully driven by the surgeon, not autonomous operators, and nothing about pediatric consent, staging decisions, or intraoperative improvisation is text work. AI will absorb the paperwork tier: op notes, discharge summaries, imaging pre-reads, prior-auth letters, and literature synthesis for tumor boards.
Headcount grew steadily across the period.
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.
BLS projection, 2024–2034
+1.5% 1,100 → 1,100 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +1.5% 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.
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DoctorSurgeonPhysicianUrologistEye SurgeonHand SurgeonHeart DoctorNeurosurgeonBrain SurgeonDermatologistHeart SurgeonTrauma DoctorSpinal SurgeonTrauma SurgeonCardiac SurgeonGeneral SurgeonOphthalmologistPlastic SurgeonCosmetic SurgeonThoracic SurgeonUrologic SurgeonVascular SurgeonPediatric SurgeonPhysician Surgeon
Holding it up: embodiment . Weakest point: judgment & accountability .
Tasks largely resist digitisation Repairing a gastroschisis or dividing adhesions in a 3-kg neonate requires tissue-by-tissue tactile decisions no model can execute, and the residual point comes off only because chart review, coding, and imaging pre-reads that currently eat clinic hours will be handed off.
Hands-on in uncontrolled environments You scrub in, retract, feel for a malrotation, and re-explore at 2 a.m. on a child who has decompensated — every core duty happens with gloved hands inside a live, bleeding, non-standard anatomy that no fixed workspace can approximate.
Licensed human required and personally liable You hold an unrestricted state medical licence plus ABS pediatric surgery certification, you personally sign the consent and the operative report, and a wrong-site or retained-instrument case names you — not the hospital's software vendor — in the malpractice complaint.
Exists to be accountable for ambiguous calls Deciding whether a preemie with NEC is stable enough for laparotomy or gets a bedside drain, whether to resect or wait, and how much bowel to leave is an irreversible call made with incomplete data; it sits at 18 rather than 20 because tumor protocols, ATLS algorithms, and multidisciplinary boards constrain part of the decision space.
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 (19/20 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 (20/20) is whether the law requires a licensed human to sign. Trust premium (19/20) is whether buyers specifically pay for a person. Judgment and accountability (18/20) 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 57 of this occupation's 96 points (59%).
Embodiment (20/20) 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 100/100, still SAFE.
As AI absorbs op notes, prior-auth letters, imaging pre-reads and tumor-board literature synthesis, the residual day shifts almost entirely to intraoperative improvisation, resuscitation and parent conversations — the two-tier split here is real and the routine tier is already thin
If ACS/APSA verification standards for Level I children's surgery centers formalize a named 'surgeon of record' for every intraoperative deviation and for goals-of-care calls in neonates with life-limiting anomalies — as the ACS Children's Surgery Verification program already does for case-volume and on-call attestation — the ambiguous-call ownership becomes an audited, individually attributed duty rather than a team-diffused one
If hospital consent forms begin disclosing AI involvement in surgical planning (as some state AI-in-healthcare disclosure bills, e.g. California AB 3030 for clinical communications, foreshadow), parents choosing a named human operator becomes an explicit, priced choice rather than an assumption
The limit. At 96 the occupation is effectively at the register's ceiling; embodiment and liability_shield are already maxed and nothing plausible moves them. Any remaining headroom is 4 points of measurement noise, not a meaningful change in security.
| New York-Newark-Jersey City, NY-NJ | 110 | $293,440 -48% |
| New York-Newark-Jersey City, NY-NJ | 110 | $293,440 -48% |
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 96. 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.