AI exposure by occupation, O*NET 49-9061.00
Will AI replace Camera and Photographic Equipment Repairers?
Camera and Photographic Equipment Repairers: AI can already handle 4 of 15 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.
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Every task, scored
The 15 tasks O*NET 30.3 lists for Camera and Photographic Equipment Repairers, from most to least exposed. 4 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments. | Estimated | Efficient | |
| Measure parts to verify specified dimensions or settings, such as camera shutter speed or light meter reading accuracy, using measuring instruments. | Estimated | Standard | |
| Read and interpret engineering drawings, diagrams, instructions, or specifications to determine needed repairs, fabrication method, and operation sequence. | Estimated | Efficient | |
| Recommend design changes or upgrades of microfilming, film-developing, or photographic equipment. | Estimated | Frontier | |
| Install electrical assemblies and wiring in aircraft camera housings and memory cards or film in cameras, following blueprints and using hand tools and soldering equipment. | Estimated | Efficient | |
| Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools. | Estimated | No tier | |
| Disassemble equipment to gain access to defect, using hand tools. | Estimated | No tier | |
| Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges. | Estimated | No tier | |
| Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids. | Estimated | No tier | |
| Requisition parts or materials. | Estimated | No tier | |
| Assemble aircraft cameras, still or motion picture cameras, photographic equipment, or frames, using diagrams, blueprints, bench machines, hand tools, or power tools. | Estimated | No tier | |
| Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications. | Estimated | No tier | |
| Record test data and document fabrication techniques on reports. | Estimated | No tier | |
| Lay out reference points and dimensions on parts or metal stock to be machined, using precision measuring instruments. | Estimated | No tier | |
| Examine cameras, equipment, processed film, or laboratory reports to diagnose malfunction, using work aids and specifications. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 15 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 15 of 15. 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 28% of the role's importance-weighted task work. 32% of the work is something AI can address at some tier, and 68% 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
- 1,650
- Median annual wage
- $52,720
- Middle half of earners
- $41,630 to $66,070
- Projected change, 2024 to 2034
- -15.1%
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.
- Camera Operators, Television, Video, and Film 70% skill overlap, about 11 months to move Exposure31
- Photographic Process Workers and Processing Machine Operators 68% skill overlap, about 12 months to move Exposure25
- Photographers 68% skill overlap, about 12 months to move Exposure38
- Audiovisual Equipment Installers and Repairers 67% skill overlap, about 12 months to move Exposure24
- Medical Equipment Repairers 66% skill overlap, about 12 months to move Exposure27
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Camera and Photographic Equipment Repairers and AI
Will AI replace Camera and Photographic Equipment Repairers?
AI already handles 4 of the 15 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 29 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 -15.1% from 2024 to 2034.
What is the AI exposure of Camera and Photographic Equipment Repairers?
29 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 15 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 15 are estimated from each task's O*NET work activity.
Which Camera and Photographic Equipment Repairers tasks can AI already do?
The tasks with the highest exposure are: Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments; Measure parts to verify specified dimensions or settings, such as camera shutter speed or light meter reading accuracy, using measuring instruments; Read and interpret engineering drawings, diagrams, instructions, or specifications to determine needed repairs, fabrication method, and operation sequence. They are three of the 4 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 28% of the role's importance-weighted task work, and 68% 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 Camera and Photographic Equipment Repairers, and what do they earn?
1,650 people in the United States, with a median annual wage of $52,720 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -15.1% 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: Camera and Photographic Equipment 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/camera-and-photographic-equipment-repairers
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