EXPOSED
The conservator half of this title is deeply hands-on: solvent testing on a flaking paint layer, consolidating a cracked ceramic, building a custom mount for a fragile textile — irreversible physical work on unique objects that no current robot touches. The technician half is more exposed: cataloging, condition-report drafting, provenance research, photographing and metadata-tagging collections, and label copy are exactly the text-and-image tasks AI now does at usable quality. There is no licensure protecting either tier, and museum budgets are thin, so the cataloging-heavy roles compress while treatment specialists hold.
Nearly all of this fall was the 2020 shock. It has been climbing back since.
Median pay $44,430 → $51,440 -7.4% 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
+5.4%
Percentage only. The projection counts a different population from the 12,310 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +5.4% more of these jobs by 2034, and at 52/100 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.
~1,900 openings a year on average, including replacing people who leave.
PreparatorArt HandlerConservatorArt PreparatorArt ConservatorCeramic RestorerFine Arts PackerMuseum RegistrarDocument RestorerMuseum PreparatorMuseum TechnicianPaper ConservatorArmorer TechnicianExhibit PreparatorExhibit TechnicianConservation WorkerExhibit CoordinatorExhibition DesignerObjects ConservatorPreservation VendorTextile ConservatorArt Objects RepairerArtifacts ConservatorPaintings Conservator
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 13 the score sits at the top of the mixed band because bench treatment — inpainting losses, reducing a discolored varnish under the microscope, humidification-and-flattening of a warped print — has no digital substitute, but the same job title also covers accessioning, condition-report drafting, and object photography with metadata entry, and those are the hours that shrink first.
Hands-on in uncontrolled environments 16 reflects that the work happens with scalpels, swabs, suction tables and solvent fume extraction on objects that are unique, dimensionally irregular, and destroyed by a wrong touch — plus crate-building, gallery installation on ladders, and courier trips where you unpack in someone else's loading dock under whatever conditions exist there.
No licence, no signature requirement 3 is correct: AIC membership and the Professional Associate designation are peer credentials, not licences, and nothing in law stops a museum from assigning a treatment to an unqualified staffer — your protection is the institution's insurance policy and your director's judgment, not a statute.
Meaningful discretion 12 fits because you decide how much original material to remove, whether a treatment is reversible, and when to refuse an intervention entirely — real discretion with irreversible consequences — but those calls are documented, reviewed by senior conservators and curators, and constrained by AIC's Code of Ethics rather than owned alone.
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 (3/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (12/20) 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 23 of this occupation's 52 points (44%).
Embodiment (16/20) 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 museum technicians and conservators 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 67/100 — SAFE.
Task-mix shift: as AI absorbs cataloging, metadata tagging, condition-report drafting and label copy, the surviving positions are treatment-bench roles — solvent testing, consolidation, mount-making, structural repair on unique objects. This occupation genuinely has two tiers, and the residual tier is nearly all hands-and-judgment. Watch for job postings that drop 'collections database' duties and require AIC-PA/Fellow status plus a treatment portfolio.
No licensure exists, but a real proxy: fine-art insurers (AXA XL, Chubb) and lenders increasingly name an approved conservator in loan agreements and claims. If standard loan contracts and insurance riders require a named AIC-credentialed conservator to sign the condition report and treatment proposal, with the individual carrying professional indemnity, personal accountability attaches without any statute. Watch AAM/AIC standard loan-agreement templates and NAGPRA/repatriation documentation requirements naming a responsible conservator.
Private-market provenance and authentication work: collectors and auction houses pay specifically for a named human's signed technical examination because an AI-generated condition or authenticity opinion is worthless at litigation and unusable for title insurance. If art-market disclosure norms (or state consignment law, as in NY Arts & Cultural Affairs Law) push toward named-examiner attribution, the premium sharpens.
Irreversibility is the lever: treatment decisions on unique objects cannot be rolled back, and ethics codes (AIC Code of Ethics, reversibility and minimum-intervention principles) already place the call on a named conservator. If institutional review — a documented treatment-approval committee with a signing conservator of record, mirroring how deaccessioning approvals work — becomes standard practice, ownership of the ambiguous call formalizes.
Already near ceiling at 16; the remaining headroom is disaster-response and site work — post-flood/fire salvage, archaeological field conservation, outdoor monument treatment under weather. If FEMA/Heritage Emergency National Task Force response contracting expands and more positions are written around deployable field conservation, the physical-unpredictability share rises.
The limit. Practical ceiling is bounded by headcount, not scores: 12,310 workers split between a resistant treatment tier and a compressing collections-technician tier. Levers can push the conservator half toward the high 60s/low 70s while the technician half falls regardless — the register score for the title as a whole may barely move even if every lever fires, because the exposed half shrinks out of the count rather than getting protected.
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 970 | $79,230 +54% |
| New York-Newark-Jersey City, NY-NJ | 820 | $77,030 +50% |
| St. Louis, MO-IL | 750 | $50,690 -1% |
| San Francisco-Oakland-Fremont, CA | 420 | $75,020 +46% |
| Boston-Cambridge-Newton, MA-NH | 290 | $58,530 +14% |
| Chicago-Naperville-Elgin, IL-IN | 280 | $58,840 +14% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 220 | $47,150 -8% |
| Dallas-Fort Worth-Arlington, TX | 200 | $50,880 -1% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 970 | $79,230 +54% |
| New York-Newark-Jersey City, NY-NJ | 820 | $77,030 +50% |
| Santa Cruz-Watsonville, CA | 30 | $75,100 +46% |
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 52. 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.