EXPOSED
This is a residual bucket — sterile processing techs, dialysis and patient care aides, optometric and podiatric assistants, hospital transport and clinical support staff — so the modal worker spends most of the shift physically in a clinical space handling instruments, equipment, and patients. That embodiment is the real moat: robotics cannot yet strip a bed, position a patient, or reprocess a tray in a crowded OR corridor. What is exposed is the paperwork layer around it: intake forms, supply logs, scheduling, insurance data entry, and standard-protocol documentation, plus the fact that almost none of these roles carry a personal license or signature liability.
Headcount grew steadily across the period.
Median pay $38,460 → $48,430 +0.7% 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
+3.5% 109,700 → 113,500 on the projections basis
Growing, and only partly exposed
The BLS expects +3.5% more of these jobs by 2034, and at 51/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~14,400 openings a year on average, including replacing people who leave.
CasterPhlebotomistTherapy AideNurse LiaisonOrthotic AideNutrition AideBirth AttendantHealth PromoterProsthetic AideMorgue AttendantSpeech AssistantTransfusion AideBlood Bank WorkerBaby Formula MixerFormula TechnicianLanguage AssistantOrthotic AssistantPublic Health AideBaby Formula WorkerDietitian AssistantHospital TechnicianPathology AssistantPatient TransporterPediatric Associate
The BLS uses Healthcare Support Workers, All Other for work that doesn't fit any named occupation, so it covers roles that have little in common with each other. Two consequences worth knowing before you read anything below:
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 13 the physical core — decontaminating and assembling instrument trays, transferring and positioning patients, prepping exam rooms, stocking crash carts — is not touchable by software, but the shift also contains genuinely automatable blocks: barcode supply reconciliation, sterilizer cycle logging, appointment reminders, and typing intake answers into the EHR, which is why it sits just below the resistant band rather than at 16+.
Hands-on in uncontrolled environments 17 reflects that the work happens in decontam rooms, dialysis bays, OR corridors and patient bedsides — wet floors, contaminated sharps, uncooperative or sedated bodies, equipment that has to be lifted and wheeled through crowded halls — an environment nobody has succeeded in structuring for a machine; it is short of 20 only because some sub-roles (optometric and podiatric assistants) work in calmer, more predictable clinic space.
No licence, no signature requirement 4 is right because these titles need no state license: CBSPD or HSPA certification for sterile processing is employer-preferred and increasingly required by hospital policy, but it is not a statute, and when a tray comes back with bioburden or a patient is dropped, the liability lands on the hospital and the supervising RN or surgeon, not on a credential you personally hold.
Executes defined procedures on defined inputs 6 matches the fact that nearly every consequential decision is written down somewhere — AAMI ST79 reprocessing steps, manufacturer IFUs, dialysis machine alarm protocols, two-person lift policies — and the standing instruction when something is off-protocol is to stop and escalate to the nurse rather than to decide.
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 (13/20 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 (4/20) is whether the law requires a licensed human to sign. Trust premium (11/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 21 of this occupation's 51 points (41%).
Embodiment (17/20) 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 64/100, still EXPOSED.
Genuine two-tier structure here: if intake forms, supply logs, scheduling and insurance data entry are absorbed by ambient documentation tools, the residual shift is instrument inspection under magnification, decontamination judgment on unfamiliar loaner trays, patient positioning and de-escalation — the tier AI cannot reach. Task-mix shift, no law needed, but it also shrinks headcount while raising per-worker resistance.
Sterile processing is the one sub-occupation with a live credentialing route: New Jersey, New York, Connecticut and Tennessee already statutorily require CRCST/HSPA certification for central service techs, and HSPA lobbies state-by-state for more. If additional states mandate certification AND facility accreditation (AAMI ST79 / Joint Commission) requires a named certified tech to sign each load-release record with personal accountability for a failed biological indicator, the shield rises for that slice. Dialysis techs have a parallel path via CMS ESRD Conditions for Coverage requiring state-approved certification.
If load-release, instrument-defect rejection, or dialysis pre-treatment patient assessment (vitals, access-site condition, deciding to escalate to the RN before cannulation) becomes a documented, individually attributed stop-the-line authority under facility policy or a CMS survey deficiency finding, the role owns a consequential ambiguous call rather than executing a checklist.
Little headroom — already 17. Rises marginally only if surgical volume shifts toward robotic and loaner-heavy cases requiring more complex manual reprocessing of delicate, non-standard instrument sets.
The limit. Ceiling is structural: this is a residual SOC bucket, so any lever only reaches one sub-occupation at a time. Sterile processing and dialysis have real credentialing momentum; hospital transport and specialty-office assistants have essentially none and would stay near current scores. The bucket average cannot move much above the mid-60s even if every plausible lever fires, and the biggest realistic threat is not robotics but staffing-ratio compression as the documentation tier disappears.
| Los Angeles-Long Beach-Anaheim, CA | 11,760 | $49,130 +1% |
| New York-Newark-Jersey City, NY-NJ | 5,090 | $57,820 +19% |
| Houston-Pasadena-The Woodlands, TX | 2,380 | $40,710 -16% |
| Phoenix-Mesa-Chandler, AZ | 2,240 | $47,890 -1% |
| Riverside-San Bernardino-Ontario, CA | 2,180 | $56,660 +17% |
| San Francisco-Oakland-Fremont, CA | 2,180 | $66,520 +37% |
| Dallas-Fort Worth-Arlington, TX | 2,080 | $48,190 +0% |
| Baltimore-Columbia-Towson, MD | 1,980 | $40,540 -16% |
| Napa, CA | 100 | $76,490 +58% |
| San Francisco-Oakland-Fremont, CA | 2,180 | $66,520 +37% |
| Springfield, MA | 150 | $65,760 +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 51. 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.