EXPOSED
The description layer of archival work — writing finding aids, generating metadata, transcribing handwritten documents, subject indexing, and answering routine reference queries — is exactly what current AI does at usable quality, and backlogs are the main reason institutions will adopt it fast. What resists is the physical side: rehousing fragile paper, monitoring environmental conditions, handling deteriorating film and magnetic media, and doing on-site appraisal of a donor's basement. Appraisal decisions (what enters the permanent record and what is destroyed), provenance judgment, restricted-records and privacy determinations, and donor negotiation are consequential calls no one will hand to a model unsupervised — but they're a thin slice of a small occupation with no licensure protecting it.
Dipped in 2020, then grew past where it started.
Median pay $53,950 → $64,550 -4.3% 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
+3.8%
Percentage only. The projection counts a different population from the 7,970 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +3.8% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
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.
~1,100 openings a year on average, including replacing people who leave.
ArchivistRegistrarRecord ClerkFilm ArchivistImage ArchivistRecords ManagerState ArchivistDocument ScannerMuseum ArchivistDigital ArchivistProject ArchivistRecords AssociateRecords SpecialistArchives SpecialistReference ArchivistProcessing ArchivistUniversity ArchivistAccessioning ArchivistDigitization AssistantDigital Asset ArchivistRecords Management SpecialistArchives Technician (Archives Tech)Document Management Technician (Document Management Tech)
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier DACS-compliant finding aids, EAD encoding, series-level description, and accession registers are structured text generation that models already produce at draft quality, and what pulls this to 9 rather than 4 is the irreducible work of opening 200 unlabeled boxes to establish original order and physically arranging series before any description can exist.
Some physical or field component Rehousing brittle nitrate negatives, reformatting open-reel audio and U-matic tape on legacy decks, reading hygrothermograph data in stacks, and appraising a donor's flood-damaged garage put real hands on real objects — but most of the week is still spent at a workstation in a climate-controlled reading room, which is why this sits at 11 and not with the field techs at 16.
No licence, no signature requirement No state licenses archivists; the Academy of Certified Archivists' CA credential is voluntary, rarely required outside federal and large university postings, and carries no personal legal exposure — your institution's counsel, not you, answers for a wrongful FOIA release or a botched deed of gift.
Meaningful discretion Appraisal is irreversible: deciding a records series has no enduring value means it is destroyed, and restricted-records calls under FERPA, HIPAA, or a 50-year donor closure have no lookup table — but retention schedules, institutional collecting policies, and a supervising director constrain most of those calls, which keeps this at 11 rather than in the high teens.
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 (9/20 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 (8/20) is whether buyers specifically pay for a person. Judgment and accountability (11/20) 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 43 points (53%).
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.
No occupation passed every test: close enough to archivists 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 57/100, still EXPOSED.
Task-mix shift: once auto-generated finding aids, OCR/HTR transcription and subject indexing are done by machine, the residual day is appraisal, provenance reconstruction of ambiguous accessions, restriction/privacy review under FERPA/HIPAA/state privacy law, and born-digital forensics (disk imaging, format migration, chain-of-custody documentation) — genuinely two-tiered work, and the judgment tier is what remains
If federal/state records-retention regimes make a named archivist personally responsible for disposition authorization — e.g. NARA records-schedule certifications and state records-commission approvals requiring an identified human appraiser to attest that AI-suggested destruction was independently reviewed — appraisal and disposition move from advisory to accountable, and the surviving job is the call, not the description
If institutional mandates on born-digital and audiovisual carriers (obsolete magnetic media, nitrate/acetate film, proprietary optical formats) push reformatting deadlines, the hands-on capture and condition-triage work grows as a share of the role; this is fragile, non-standard physical handling that does not template
Only in provenance-contested and repatriation work: if museum/archive acquisition due diligence under NAGPRA, Indigenous data-sovereignty protocols, or looted-property claims requires a named human researcher's provenance opinion that funders and claimants will accept, buyers pay for the person's judgment specifically
Narrow route only: if courts or evidence rules tighten authentication of archival records (FRE 901/902 self-authentication for digital records) so that a certifying archivist's attestation of chain of custody carries personal exposure — as records managers already sign in litigation-hold contexts — a thin signature requirement appears. No licensure body exists (SAA's Academy of Certified Archivists credential is voluntary and confers no legal standing), so this stays small
The limit. Structural ceiling is low. 7,970 workers, no licensure, and employers are mostly budget-constrained public institutions and universities whose primary motive for AI adoption is clearing description backlogs cheaply — the same fiscal pressure that drives adoption also prevents any trust premium. The judgment tier is real but thin, so task-mix shift raises resistance per surviving worker while reducing headcount. Realistic composite ceiling around mid-50s, and that is compatible with fewer positions.
| New York-Newark-Jersey City, NY-NJ | 760 | $77,450 +20% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 670 | $84,590 +31% |
| Los Angeles-Long Beach-Anaheim, CA | 490 | $70,630 +9% |
| Seattle-Tacoma-Bellevue, WA | 310 | $78,530 +22% |
| Baltimore-Columbia-Towson, MD | 230 | $76,440 +18% |
| Boston-Cambridge-Newton, MA-NH | 230 | $78,220 +21% |
| San Francisco-Oakland-Fremont, CA | 180 | $74,320 +15% |
| Chicago-Naperville-Elgin, IL-IN | 160 | $57,930 -10% |
| Bridgeport-Stamford-Danbury, CT | 80 | $119,190 +85% |
| San Jose-Sunnyvale-Santa Clara, CA | 110 | $97,550 +51% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 670 | $84,590 +31% |
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 43. 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.