Will AI replace Camera and Photographic Equipment Repairers?
AI reaches little of this job’s work.
3/100
Low exposure
More exposed to AI than 8% of US workers.
- AI already used in
- 4% of the work
- As AI tools mature: up to
- 6% of the work
What the job involves
Repair and adjust cameras and photographic equipment, including commercial video and motion picture camera equipment.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Record test data and document fabrication techniques on reports.
Within reach(1)
- Recommend design changes or upgrades of microfilming, film-developing, or photographic equipment.
Out of reach(13)
- Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.
- Disassemble equipment to gain access to defect, using hand tools.
- Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges.
- Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.
- Requisition parts or materials.
and 8 more
Also called
Photographic Equipment Technician · Camera Repair Technician · Aircraft Photographic Equipment Mechanic · Field Service Engineer · Camera Technician · Photo Equipment Technician · Camera Machinist · Camera Mechanic
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics