How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments.81
- Measure parts to verify specified dimensions or settings, such as camera shutter speed or light meter reading accuracy, using measuring instruments.80
- Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.74
- Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications.74
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.01
- Disassemble equipment to gain access to defect, using hand tools.02
- 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.03
- Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges.04
- Assemble aircraft cameras, still or motion picture cameras, photographic equipment, or frames, using diagrams, blueprints, bench machines, hand tools, or power tools.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Photographic Process Workers and Processing Machine Operators
Closely related work
Compare these careers →Motion Picture Projectionists
Closely related work
Compare these careers →Electrical and Electronics Repairers, Commercial and Industrial Equipment
Closely related work
Compare these careers →Electro-Mechanical and Mechatronics Technologists and Technicians
Related work
Compare these careers →Electrical and Electronic Engineering Technologists and Technicians
Related work
Compare these careers →Ophthalmic Laboratory Technicians
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
