← Risk register SOC 49-2011 · reviewed 2026-08-11

Computer, Automated Teller, and Office Machine Repairers

65,600 US workers · median $47,810/yr · Trades

EXPOSED

Swapping ATM dispenser modules, clearing paper paths in high-volume copiers, replacing fusers and card readers, and re-imaging POS terminals are hands-on jobs that no robot does today — that's the real moat. The exposure is different: remote telemetry and vendor diagnostics already handle the fault isolation and parts-recommendation work that used to justify a truck roll, and the installed base of office machines and bank branches is shrinking. The threat here is demand contraction and remote-first support models, not an AI that turns a screwdriver.

10-year outlook: The work itself stays human and hands-on, but headcount keeps drifting down as remote diagnostics absorb triage and the office-machine and branch-ATM footprint shrinks; the survivors are the ones certified on cash-handling hardware and networked kiosks.

US employment, 2019–2025-33.2%
98,26065,600 workers

Part 2020 shock, part continued decline in the years since.

Median pay $39,530 → $47,810 -3.2% in real terms (nominal +20.9%, less ~25% US inflation over the period)

The job count is not the verdict

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

-0.9%

Percentage only. The projection counts a different population from the 65,600 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Shrinking, but not obviously because of AI

The BLS projects -0.9% by 2034, but at 46/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.

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.

~7,600 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

MechanicRepair AgentField EngineerField TechnicianComputer MechanicComputer RepairerCopier TechnicianMachine RepairmanRepair TechnicianComputer InstallerPrinter TechnicianService TechnicianSupport TechnicianTypewriter AlignerAssembly TechnicianComputer TechnicianDictaphone MechanicElectronic MechanicTypewriter MechanicTypewriter RepairerFax Machine RepairerOffice Machine WirerComputer TechnologistDictaphone Technician

Score — 46/100 resistance

Holding it up: embodiment (16/20). Weakest point: liability shield (2/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 13 + 16 + 2 + 7 + 8 = 46. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 13/20

Mixed — a routine tier and a judgment tier At 13 the physical work — pulling a fuser, reseating a dispenser, replacing a bill validator, swapping a hard drive — stays manual, but the diagnostic half of the call that used to fill your day is increasingly done before you arrive by machine telemetry and vendor error-code lookups, which is what keeps this out of the 14-20 band.

Embodiment 16/20

Hands-on in uncontrolled environments You work inside a bank vestibule at 2am, in copier rooms with the machine half-disassembled on the floor, in retail backrooms and hospital wards, hauling parts and lifting 60lb modules — nothing about the placement, cabling, or contamination of a real installed machine is a controlled environment, which is why this sits at 16 rather than mid-band.

Liability shield 2/20

No licence, no signature requirement There is no state licence to repair an ATM or a multifunction printer; OEM certifications (Canon, Diebold Nixdorf, CompTIA A+) gate who gets dispatched but the service contract sits with the employer or vendor, so nothing legal blocks a lower-cost or remote channel from taking the work.

Trust premium 7/20

Some relationship component A 7 reflects that branch managers and office administrators come to ask for you by name once you know which of their machines runs hot and where the jams start — but the dispatch comes through a national service contract that can reassign the route tomorrow, so the relationship never becomes the thing being bought.

Judgment & accountability 8/20

Meaningful discretion Most calls run against OEM service manuals, error codes, and escalation trees, with discretion showing up in judgment calls like whether a repeat-jam copier is worth another fuser or should be flagged for replacement, and in cash-handling and chain-of-custody decisions inside an ATM — real, but bounded by procedure, hence 8.

Confidence: medium · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence

How to future-proof this job

Training paths for your skill gaps: Khan Academy — mathematics, arithmetic through calculus free · Apprenticeship.gov — industrial maintenance and millwright programs paid to train · Apprenticeship.gov — paid, employer-sponsored trade apprenticeships, searchable by trade and ZIP paid to train · MIT OpenCourseWare — circuits, systems and diagnostic method, free and ungated free · edX — systems thinking and evaluation methods free to audit · OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Medical Equipment Repairers EXPOSED · 64/100 · you already have ~83% of the skill profile

Skills to close: Mathematics, Equipment Maintenance, Repairing, Troubleshooting

Automotive Service Technicians and Mechanics SAFE · 67/100 · you already have ~82% of the skill profile

Skills to close: Systems Evaluation, Operation and Control

Motorcycle Mechanics SAFE · 68/100 · you already have ~78% of the skill profile

Skills to close: Troubleshooting

What would move this back up — beyond any one person

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.

6 specific changes that would raise this score
  • already happening task resistance +3

    Genuine two-tier structure: consumable swaps, paper-path clearing and re-imaging are being pushed to customer self-service and remote scripts, leaving retrofit and compliance work — EMV/contactless upgrades, ADA voice-guidance retrofits, dispenser recalibration after a jam-and-loss event, forensic teardown of tampered fascias. If the routine tier keeps migrating to branch staff and remote tooling, the residual day is dominated by non-scripted work even though the headcount base shrinks.

  • plausible liability shield +5

    Key-injection and tamper work is already fenced by PCI PIN Security Requirements and ASC X9 TR-31/TR-34: only certified personnel under dual control may load or replace encryption keys in ATM EPPs and POS PIN pads. If PCI SSC extends certified-technician-plus-dual-control requirements from key loading to all EPP/card-reader module replacement, and card networks impose fines on the acquirer for uncertified service, a named certified individual becomes the required signer on a large share of ATM and POS calls.

  • plausible trust premium +4

    Banks buying badged, background-checked, bonded in-person technicians specifically because insider cash and skimmer risk makes an anonymous or remote-guided fix unacceptable — already visible in ATM servicing contracts requiring FBI-level background checks and two-person branch access. If insurers writing cash-in-device and fraud-loss coverage make named vetted-technician rosters a condition of coverage, the human-specific premium hardens.

  • plausible liability shield +3

    State ATM skimming statutes (e.g. New York, Florida, California penal provisions on card-reading devices) plus bank regulator guidance could require that any device found with a skimmer be handled by a technician who documents chain of custody and files an attested tamper report. If FinCEN/FFIEC exam guidance formalises that attestation as a named-person record, the report acquires personal exposure.

  • plausible judgment accountability +3

    Cash-discrepancy adjudication: the technician on site decides whether a shortage is a dispenser fault, a jam-retract, or theft, and that call drives the bank's Reg E provisional-credit and SAR decisions. If bank operating procedures formally designate the technician's on-site finding as the determination of record for dispute resolution rather than an input to an ops team, the role owns the consequential ambiguous call.

  • unlikely embodiment +1

    Little headroom. The work is already hands-in-chassis in unpredictable branch and back-office settings; the only upward move would be a shift toward heavier vault, safe, and armoured-fascia installation work that requires two-person physical handling.

The limit. Every lever here concentrates value in a shrinking installed base. ATM fleet counts and office copier volumes are contracting, so even a fully realised liability shield and trust premium raise the score for a smaller number of jobs — the register measures per-worker displacement resistance, not employment level. Realistic ceiling is low-to-mid 60s, and only for the subset of technicians who hold PCI PIN-security certification and bank-side clearances; general copier and office-machine service has no comparable route.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 219 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ 3,480 $59,530 +25%
Dallas-Fort Worth-Arlington, TX 2,650 $46,560 -3%
Los Angeles-Long Beach-Anaheim, CA 2,610 $61,340 +28%
Chicago-Naperville-Elgin, IL-IN 2,590 $45,710 -4%
Seattle-Tacoma-Bellevue, WA 1,490 $49,470 +3%
Atlanta-Sandy Springs-Roswell, GA 1,440 $45,980 -4%
Houston-Pasadena-The Woodlands, TX 1,390 $42,020 -12%
Minneapolis-St. Paul-Bloomington, MN-WI 1,200 $54,690 +14%

Best paid

Waterbury-Shelton, CT 40 $64,100 +34%
Hartford-West Hartford-East Hartford, CT 170 $63,410 +33%
Manchester-Nashua, NH 70 $62,090 +30%

Percentages are against this occupation's national median of $47,810. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

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 46. 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.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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