AI exposure by occupation, O*NET 49-2011.00
Will AI replace Computer, Automated Teller, and Office Machine Repairers?
Computer, Automated Teller, and Office Machine Repairers: AI can already handle 2 of 25 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 25 tasks O*NET 30.3 lists for Computer, Automated Teller, and Office Machine Repairers, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Analyze equipment performance records to assess equipment functioning. | Estimated | Frontier | |
| Advise customers concerning equipment operation, maintenance, or programming. | Estimated | Standard | |
| Train new repairers. | Estimated | Efficient | |
| Reassemble machines after making repairs or replacing parts. | Estimated | Efficient | |
| Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment. | Estimated | Efficient | |
| Travel to customers' stores or offices to service machines or to provide emergency repair service. | Estimated | Efficient | |
| Maintain parts inventories and order any additional parts needed for repairs. | Estimated | Standard | |
| Reinstall software programs or adjust settings on existing software to fix machine malfunctions. | Estimated | Efficient | |
| Clean, oil, or adjust mechanical parts to maintain machines' operating efficiency and to prevent breakdowns. | Estimated | Efficient | |
| Maintain records of equipment maintenance work or repairs. | Estimated | Efficient | |
| Complete repair bills, shop records, time cards, or expense reports. | Estimated | Efficient | |
| Install and configure new equipment, including operating software or peripheral equipment. | Estimated | Efficient | |
| Update existing equipment, performing tasks such as installing updated circuit boards or additional memory. | Estimated | Efficient | |
| Converse with customers to determine details of equipment problems. | Estimated | No tier | |
| Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices. | Estimated | No tier | |
| Align, adjust, or calibrate equipment according to specifications. | Estimated | No tier | |
| Operate machines to test functioning of parts or mechanisms. | Estimated | No tier | |
| Test new systems to ensure that they are in working order. | Estimated | No tier | |
| Read specifications, such as blueprints, charts, or schematics, to determine machine settings or adjustments. | Estimated | No tier | |
| Test components or circuits of faulty equipment to locate defects, using oscilloscopes, signal generators, ammeters, voltmeters, or special diagnostic software programs. | Estimated | No tier | |
| Assemble machines according to specifications, using hand or power tools and measuring devices. | Estimated | No tier | |
| Lay cable and hook up electrical connections between machines, power sources, and phone lines. | Estimated | No tier | |
| Enter information into computers to copy programs from one electronic component to another or to draw, modify, or store schematics. | Estimated | No tier | |
| Calibrate testing instruments. | Estimated | No tier | |
| Fill machines with toners, inks, or other duplicating fluids. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 25 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 25 of 25. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 50% of the role's importance-weighted task work. 53% of the work is something AI can address at some tier, and 47% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 65,600
- Median annual wage
- $47,810
- Middle half of earners
- $38,900 to $59,870
- Projected change, 2024 to 2034
- -0.9%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Coin, Vending, and Amusement Machine Servicers and Repairers 76% skill overlap, about 9 months to move Exposure19
- Medical Equipment Repairers 67% skill overlap, about 12 months to move Exposure27
- Industrial Machinery Mechanics 67% skill overlap, about 12 months to move Exposure24
- Electrical and Electronics Repairers, Commercial and Industrial Equipment 66% skill overlap, about 12 months to move Exposure26
- Office Machine Operators, Except Computer 65% skill overlap, about 12 months to move Exposure29
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Computer, Automated Teller, and Office Machine Repairers and AI
Will AI replace Computer, Automated Teller, and Office Machine Repairers?
AI already handles 2 of the 25 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 22 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -0.9% from 2024 to 2034.
What is the AI exposure of Computer, Automated Teller, and Office Machine Repairers?
22 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 25 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 25 are estimated from each task's O*NET work activity.
Which Computer, Automated Teller, and Office Machine Repairers tasks can AI already do?
The tasks with the highest exposure are: Analyze equipment performance records to assess equipment functioning; Advise customers concerning equipment operation, maintenance, or programming. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 50% of the role's importance-weighted task work, and 47% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Computer, Automated Teller, and Office Machine Repairers, and what do they earn?
65,600 people in the United States, with a median annual wage of $47,810 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -0.9% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Computer, Automated Teller, and Office Machine Repairers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/computer-automated-teller-and-office-machine-repairers
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