SAFE
The core of this job is cutting: extracting impacted third molars, placing implants, grafting bone, reducing facial fractures, and resecting oral tumors — all performed by hand inside a live airway under sedation or general anesthesia. AI can read a CBCT scan, flag a lesion, and draft the operative note, but it cannot manage a bleeding pterygoid plexus or make the intraoperative call to abandon an implant plan when bone quality is worse than imaged. Dual DDS/DMD plus surgical residency, state licensure, and anesthesia permitting make the human operator legally mandatory.
Dipped in 2020, then grew past where it started.
Median pay $239,200 → $352,220 +17.8% 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
+4.1%
Percentage only. The projection counts a different population from the 4,910 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +4.1% 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.
~200 openings a year on average, including replacing people who leave.
SurgeonOral SurgeonDental SurgeonMaxillofacial SurgeonDoctor of Dental Surgery (DDS)Oral and Maxillofacial Surgeon (OMS)
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Nothing in the daily list — luxating an ankylosed molar, osteotomizing a mandible for a BSSO, harvesting an iliac crest graft, packing a bleeding socket at 11pm — has a digitizable substitute; only the CBCT read, surgical guide design, and treatment-plan modeling are software-assisted, which is why this sits at 18 and not 20.
Hands-on in uncontrolled environments You work inside a living airway with a handpiece and elevators, on patients who are sedated and whose bleeding, gag reflex, and unexpected sinus perforation happen in real time — the operative field is unmapped soft tissue, not a controlled workspace, which is the top of the scale.
Licensed human required and personally liable You hold a DDS/DMD, a state dental license with an oral surgery specialty designation, and in most states a separate general-anesthesia or deep-sedation permit with facility inspection — a nerve injury or an anesthesia death is prosecuted against your license and your name on the consent form, with no institutional buffer if you own the practice.
Exists to be accountable for ambiguous calls Deciding whether to coronectomy versus fully extract a third molar sitting on the inferior alveolar nerve, whether to plate or wire a condylar fracture, or whether to abort sedation on a patient whose airway looks worse than the pre-op assessment suggested — these are calls made with incomplete information, minutes to decide, and consequences measured in permanent facial deficit.
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 (18/20 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 (16/20) 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 54 of this occupation's 92 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 98/100, still SAFE.
Patient-facing surgical robotics (e.g. Yomi/Neocis-style haptic implant guidance) becoming common in general-dentist offices, which would let OMS practices market fully surgeon-performed complex cases (orthognathic, pathology, trauma) as the human-judgment tier buyers specifically seek out and pay for
Guided-implant planning, CBCT lesion detection, and operative-note drafting being fully absorbed by software, leaving a day composed of trauma call, pathology resection, and airway management — the genuine judgment tier of the role
Formalized head-and-neck tumor board rules or hospital credentialing language naming the operating OMS as the accountable decision-maker for margin and reconstruction calls when AI planning software output is overridden
The limit. At 92 the score is near ceiling; embodiment and liability_shield are already maxed and the realistic movement is only a few points from task-mix concentration.
| New York-Newark-Jersey City, NY-NJ | 240 | $342,730 -3% |
| New York-Newark-Jersey City, NY-NJ | 240 | $342,730 -3% |
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 92. 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.