SAFE
Surgical assistants spend their shifts inside open body cavities — retracting tissue, controlling bleeding, harvesting grafts, suturing and closing under a surgeon's direction — which is exactly the fine-motor work in a deformable, unpredictable field that surgical robotics still cannot do autonomously. The automatable slice is the paperwork tier: operative note drafting, instrument and implant documentation, preference-card and case-cart planning. Certification (CSA/SA-C) plus state scope rules and hospital credentialing keep a specific accountable human in the sterile field, though the shield is regulatory and thinner than a physician license.
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
+5.1% 25,300 → 26,600 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +5.1% 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.
~1,600 openings a year on average, including replacing people who leave.
Surgical AideFirst AssistantSurgery AssistantClinical AssistantSurgery TechnicianSurgical AssistantOral Surgery AssistantPerioperative AssistantOperating Room AssistantSurgical First AssistantOperating Room TechnicianSurgical Dental AssistantSurgical Medical AssistantSurgical Services AssistantCertified Surgical TechnicianOR Aide (Operating Room Aide)Certified First Assistant (CFA)Certified Nursing Assistant (CNA)Certified Surgical Assistant (CSA)Medical Surgical Nursing AssistantSurgical Assistant-Certified (SA-C)Surgical Technician (Surgical Tech)Registered Nurse First Assistant (RNFA)Certified Surgical First Assistant (CSFA)
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation A 16 reflects that retracting a liver edge that shifts with every ventilator breath, clamping an unexpected bleeder, harvesting a saphenous vein and closing fascia in layers are all tactile judgment calls made on tissue that never presents twice the same way — the points off the top are the genuinely scriptable parts of your shift: patient positioning per protocol, prepping and draping to a fixed sequence, sponge and needle counts, and dictated operative-note capture.
Hands-on in uncontrolled environments 20 is the ceiling and this job earns it plainly: you are scrubbed, gowned and gloved with hands inside a body cavity, standing at a table for a six-hour case, feeling for tissue planes and pulses through gloved fingertips — there is no version of this performed from a screen.
Licensed human required and personally liable An 11 sits just above the licensure threshold because CSA or SA-C certification plus hospital credentialing and state scope-of-practice rules put your name in the operative record as first assist, but you hold no independent practice license and the operating surgeon remains the physician of record — a hospital can restructure your role or use a resident or PA in that slot in ways it cannot do with the surgeon.
Meaningful discretion 13 is the top of the discretion band without crossing into ownership: you decide in the moment how much traction the tissue will tolerate, when to cauterize versus pack, and when to tell the surgeon something looks wrong, but the decision to convert an approach, extend a resection or abort the case is not yours to make.
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 (16/20 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 (11/20) is whether the law requires a licensed human to sign. Trust premium (9/20) is whether buyers specifically pay for a person. Judgment and accountability (13/20) 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 33 of this occupation's 69 points (48%).
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 83/100, still SAFE.
Formal recognition of the surgical assistant as the bedside owner of robotic-platform emergencies — port placement conflicts, collision, emergent undocking and conversion to open — written into hospital robotics credentialing and vendor training, as intuitive-console surgeons are physically away from the patient.
Task-mix shift: ambient AI scribes (Abridge, Nuance DAX) absorbing operative note drafting, implant logging and preference-card/case-cart planning leaves the residual job almost entirely sterile-field judgment and hands, which raises the share of the day AI cannot do.
More states adopting statutory licensure/registration for surgical assistants on the Texas (Occupations Code Ch. 206) and Illinois/Washington/Kentucky model — a titled license with a board, disciplinary authority and personal scope-of-practice liability rather than mere hospital credentialing. ASA/NSAA have active state-by-state licensure campaigns; each new state law converts a credentialing norm into a legal requirement.
CMS or major commercial payers conditioning first-assistant reimbursement (modifier -AS / 80-82 assistant-at-surgery claims) on a specific named, certified/licensed non-physician assistant, so the claim itself requires an identifiable accountable human in the field. Partially in place already; tightening the credential requirement rather than allowing 'qualified per hospital policy' would harden it.
Malpractice carriers or Joint Commission requiring documented counts, retained-object attestation, and robotic docking/undocking signed by a credentialed assistant separately from the surgeon — making the assistant a named signer on an event the insurer prices.
The limit. Trust premium has no realistic route — patients choose surgeons and hospitals, never learn the assistant's name, and cannot select or pay extra for one. Embodiment is already maxed at 20 and cannot rise. The binding risk is not automation but substitution by cheaper credentials (residents, PAs, RN circulators cross-trained as first assists) and by surgeon-controlled robotic platforms that reduce the number of hands needed per case.
| Chicago-Naperville-Elgin, IL-IN | 2,090 | $80,210 +20% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 680 | $60,410 -10% |
| Dallas-Fort Worth-Arlington, TX | 490 | $87,080 +30% |
| Boston-Cambridge-Newton, MA-NH | 430 | $58,370 -13% |
| Milwaukee-Waukesha, WI | 420 | $81,690 +22% |
| Atlanta-Sandy Springs-Roswell, GA | 370 | $60,720 -9% |
| Detroit-Warren-Dearborn, MI | 350 | $48,570 -27% |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 340 | $87,080 +30% |
| Florence, SC | 200 | $133,380 +100% |
| Cincinnati, OH-KY-IN | 200 | $102,730 +54% |
| Lexington-Fayette, KY | 100 | $102,330 +53% |
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 69. 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.