Will AI replace Camera and Photographic Equipment Repairers?
Estimated risk score: 23 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (4 to 42).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 49-9061.00 · Installation, Maintenance, and Repair
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 15 rated tasks. In O*NET’s words.
- Record test data and document fabrication techniques on reports.
- Requisition parts or materials.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 8 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.
- Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments.
- Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.
- Disassemble equipment to gain access to defect, using hand tools.
- Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications.
- Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges.
What the job is
Repair and adjust cameras and photographic equipment, including commercial video and motion picture camera equipment.
Also called: Camera Repairman, Camera Technician, Camera Repair Technician, Photo Tech, Camera Mechanic, Camera Repairer, Camera Machinist, Repair Cameraman.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate