EXPOSED
The modal worker here is a clinic, department, or practice manager whose week mixes staffing and scheduling, budget variance review, billing and coding oversight, regulatory reporting, and policy documentation — the reporting and documentation half is squarely in AI's wheelhouse. What survives is walking the unit, handling a physician or nurse conflict at 7am, owning a Joint Commission survey finding, and making resource calls when census spikes and staff call out. Nursing home administrators carry real state licensure and personal accountability; most hospital and physician-practice managers do not, so the legal shield is partial.
Headcount grew steadily across the period.
Median pay $100,980 → $123,860 -1.9% 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
+23.2% 616,200 → 759,100 on the projections basis
Growing, and only partly exposed
The BLS expects +23.2% more of these jobs by 2034, and at 55/100 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.
~62,100 openings a year on average, including replacing people who leave.
Nurse ManagerHealth ManagerClinic DirectorHealth DirectorHousing ManagerMedical ManagerNurses DirectorCare CoordinatorClinical ManagerHospice DirectorHospital ManagerMedical DirectorNurse SupervisorNursing DirectorClinical DirectorHospital DirectorFirst Aid DirectorHealthcare ManagerMedical SupervisorClinical SupervisorHealth Care ManagerHospital SupervisorNurse AdministratorHealth Administrator
Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Census forecasting, productivity dashboards, RVU and variance reports, and prior-auth denial tracking are already vendor software rather than management judgment, but the 7am charge-nurse escalation, the physician who refuses the new documentation workflow, and the corrective action plan you personally negotiate after a survey deficiency keep this at 11 instead of down near 6.
Some physical or field component You are on-site because the unit is: rounding the floor, walking a surveyor through the med room, checking OR turnover in person, sitting in the credentialing and safety committee rooms — but none of it is your hands on a patient or a piece of equipment, which caps it at 8 rather than the 13+ of the clinicians you manage.
Certification preferred, not legally required Nursing home administrators hold a state NHA licence with personal sanction exposure under 42 CFR 483, and some states licence assisted-living administrators, but the clinic and hospital-department managers who make up most of this SOC need only a master's and maybe FACHE or CPC — voluntary credentials that no regulator can pull — so the shield averages to 8.
Exists to be accountable for ambiguous calls You own the calls no procedure covers: closing beds versus mandating overtime when four nurses call out, whether an incident becomes a root cause analysis or a peer review referral, whether to self-disclose a coding pattern to the payer, which service line absorbs the budget cut — decisions signed in your name with patient-safety and CMS-survey consequences and no manual to point at.
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 (11/20 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 (8/20) is whether the law requires a licensed human to sign. Trust premium (12/20) is whether buyers specifically pay for a person. Judgment and accountability (16/20) 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 36 of this occupation's 55 points (65%).
Embodiment (8/20) 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.
No occupation passed every test: close enough to medical and health services managers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 69/100 — SAFE.
Accreditation-driven sign-off: a Joint Commission or NCQA standard requiring a named human leader to personally certify corrective action plans and AI-generated quality reports, rather than allowing system-generated submission. Joint Commission's 2025 responsible-AI-use guidance with CHAI is the visible seed.
Formal designation as the accountable executive for AI governance — hospital AI committees (as at Mayo, Kaiser, Duke) increasingly name a specific operational leader who owns model deployment, drift monitoring, and shutdown decisions. If CMS or state law makes that designation mandatory and non-delegable, the role gains an explicitly consequential, ambiguous-call portfolio.
Genuine two-tier structure: if reporting, budget variance narrative, coding audit prep, and scheduling optimization are absorbed by software, the residual week is labor conflict, survey defense, physician relations, and surge resource allocation — all of which are resistant. Watch for span-of-control widening (fewer managers, each with more human-conflict load) rather than headcount stability.
Extension of nursing-home-style administrator licensure (state NAB/NHA licensure, personal accountability for facility deficiencies) to other settings — e.g. state licensure of ambulatory surgery center administrators, or CMS conditions of participation naming a specifically credentialed, personally accountable administrator for hospital outpatient departments and dialysis facilities. Also plausible: state health-AI bills (following Texas HB 1709-style and California AB 3030 lines) requiring a named human administrator to attest that clinical AI tools used in the facility have been reviewed, with personal sign-off on the attestation.
The limit. Trust premium has no realistic route — patients and payers do not select or pay for a facility because a human manages the back office, and no purchasing decision surfaces this role. Any resilience gain must come from licensure and named accountability, and the largest single lever (licensure spread beyond long-term care) has been static for decades.
| New York-Newark-Jersey City, NY-NJ | 35,260 | $167,580 +35% |
| Los Angeles-Long Beach-Anaheim, CA | 23,740 | $134,230 +8% |
| Dallas-Fort Worth-Arlington, TX | 17,140 | $121,640 -2% |
| Chicago-Naperville-Elgin, IL-IN | 16,680 | $123,090 -1% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 14,060 | $122,920 -1% |
| Boston-Cambridge-Newton, MA-NH | 12,990 | $136,760 +10% |
| Houston-Pasadena-The Woodlands, TX | 12,410 | $124,400 +0% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 12,290 | $128,770 +4% |
| San Jose-Sunnyvale-Santa Clara, CA | 4,560 | $171,210 +38% |
| Vallejo, CA | 800 | $170,730 +38% |
| New York-Newark-Jersey City, NY-NJ | 35,260 | $167,580 +35% |
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 55. 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.