EXPOSED
A large share of a curator's week is text and screen work AI already does passably: cataloging records, wall labels, catalog essays, condition-report write-ups, grant narratives, and literature searches on provenance. What resists is the physical side — handling and installing objects, judging authenticity and condition in the room — plus the accountability for acquisition, deaccession, and repatriation calls that a board, donor, or source community will question for decades. There is no license behind the title, so the protection comes from institutional trust and scarcity of positions rather than from law.
Nearly all of this fall was the 2020 shock. It has been climbing back since.
Median pay $54,570 → $63,420 -7.0% 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
+7%
Percentage only. The projection counts a different population from the 12,150 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 +7% more of these jobs by 2034, and at 49/100 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.
~1,800 openings a year on average, including replacing people who leave.
CuratorPreparatorArt CuratorArt HandlerNumismatistPhilatelistData CuratorCoin CollectorMuseum CuratorMuseum ManagerContent CuratorDigital CuratorField CollectorMuseum EducatorOld Coin DealerStamp CollectorExhibits CuratorMetadata CuratorMuseum RegistrarEducation CuratorHerbarium CuratorMuseum SpecialistMuseum CoordinatorCollections Curator
Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier The write-heavy half of the job — TMS/PastPerfect data entry, label copy, exhibition didactics, loan-agreement paperwork, grant reporting to IMLS or NEH — is now draftable by machine, but selecting what enters an exhibition, negotiating loans with a peer institution's registrar, and standing in front of an unframed canvas deciding whether the craquelure reads as period keep this at 11 rather than in single digits.
Some physical or field component Curators are in storage vaults and on gallery floors more than the title suggests — checking RH and lux readings, condition-reporting incoming crates, directing mount-making and hang heights, doing site visits to a collector's damp basement — but preparators and conservators do the actual heavy handling and interventive treatment, which caps it at 11 instead of the 15+ of a field conservator.
No licence, no signature requirement There is no state license to curate; AAM accreditation and AAMD guidelines bind the institution, not the individual, and a curator who mis-attributes a work or accepts a piece with a broken provenance chain faces reputational and employment consequences while the museum's directors and insurers absorb the legal exposure — hence 3, not 0, since the field polices credentials informally through a small, long-memoried professional network.
Meaningful discretion Acquisition, deaccession, attribution, and repatriation decisions are made on incomplete provenance in the face of competing claims, and they are permanent — a wrongly deaccessioned object does not come back, and a NAGPRA determination or a Nazi-era restitution call will be re-litigated by successors and press for decades — with the ceiling set only by the fact that boards and directors formally sign off.
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 (3/20) 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 (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 27 of this occupation's 49 points (55%).
Embodiment (11/20) 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.
Clergy SAFE
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 65/100, still EXPOSED.
NAGPRA's revised regulations (43 CFR 10, effective January 2024) already require a named institutional official to certify inventories, obtain documented tribal consent before exhibiting or researching cultural items, and expose institutions to civil penalties. If federal agencies begin assessing penalties against named individuals, or if grant conditions (IMLS, NEH) require a named curator of record to attest to compliance, the sign-off becomes personal rather than institutional.
Restitution decisions under the HEAR Act and the emerging African-collections repatriation frameworks (Benin Bronzes precedents, Smithsonian's 2022 ethical returns policy) put a named curator's recommendation in front of a board and, increasingly, a press cycle and a claimant's counsel. If ethical-returns policies spread to state and university museums with a documented curatorial recommendation of record, the consequential-call share of the job rises.
Export/import controls already require a human attestation: CITES permits for ivory, tortoiseshell and feather in collections; State Department cultural-property MOU certifications; UK/EU export licence applications. If customs or insurers begin requiring that the condition and authenticity statement on loan and export paperwork be signed by a named individual who is personally attestable — as fine-art underwriters (AXA XL, Hiscox) already push toward for high-value loans — the countersignature attaches to the curator.
A wave of AI-fabricated provenance documents entering the market (plausible given how much of provenance research is now text-matching) would make buyer-side demand shift toward named human attribution. Watch for auction houses and AAMD member museums adopting a rule that provenance chains must be certified by a named scholar who inspected physical documents, analogous to the Art Loss Register's human-review requirement.
Genuine two-tier structure: label writing, catalog data entry, condition-report prose and grant narrative drafting are the routine tier and are being automated first. If institutions absorb that automation without cutting headcount — the pattern in small museums where the curator is also registrar and installer — the residual job is authenticity judgment in the room, acquisition argument, and community consultation, and measured resistance rises without any capability change.
The limit. No licensure exists for the title and no professional body has proposed one; AAM accreditation certifies institutions, not people, so the liability_shield route caps well short of the medical or engineering pattern. Trust premium is also constrained by field economics: 12,150 positions concentrated in budget-constrained institutions means willingness-to-pay for a human curator is set by boards and donors, not by a broad buyer market.
| New York-Newark-Jersey City, NY-NJ | 970 | $83,110 +31% |
| Los Angeles-Long Beach-Anaheim, CA | 390 | $77,160 +22% |
| Chicago-Naperville-Elgin, IL-IN | 290 | $63,060 -1% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 290 | $63,860 +1% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 270 | $87,400 +38% |
| San Francisco-Oakland-Fremont, CA | 240 | $90,800 +43% |
| Boston-Cambridge-Newton, MA-NH | 220 | $78,720 +24% |
| Denver-Aurora-Centennial, CO | 180 | $77,700 +23% |
| New Haven, CT | 70 | $102,110 +61% |
| Dayton-Kettering-Beavercreek, OH | 40 | $94,740 +49% |
| San Francisco-Oakland-Fremont, CA | 240 | $90,800 +43% |
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 49. 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.