77
/100

SOC 49-9061

Camera and Photographic Equipment Repairers

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

77/100

High Risk

US Employment

๐Ÿ‘ฅ

2,010

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$36K โ€“ $77K

Projected Growth

๐Ÿ“ˆ

-15.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

49/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Camera and Photographic Equipment Repairers face a risk score of 77/100 โ€” 33 points above the national average of 44. With only 49/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 77/100, Camera and Photographic Equipment Repairers faces significant automation pressure. Key threats include robotic inspection of hard-to-reach equipment and automated fault detection via iot sensor networks. The 2,010 Americans in this role should actively develop skills in adapting repairs to non-standard or legacy equipment and customer communication about technical issues to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Camera and Photographic Equipment Repairers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Robotic inspection of hard-to-reach equipment

2

Automated fault detection via IoT sensor networks

3

Augmented reality-guided remote diagnostics

4

AI parts inventory and supply chain optimization

5

Predictive maintenance AI reducing reactive repair needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Customer communication about technical issues

โœ“

Working in confined, elevated, or hazardous spaces

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.

โ€ข

Disassemble equipment to gain access to defect, using hand tools.

โ€ข

Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges.

โ€ข

Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.

โ€ข

Requisition parts or materials.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Word processing software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Computers and Electronics

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score77/100
+33

National avg: 44/100

GenAI Exposure49/100
+11

National avg: 38/100

Projected Growth-15.1%
-18.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
Electrical Power-Line Installers and Repairers28$93K83%
Supervisors of Installation, Maintenance, and Repair Workers33$78K73%