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Source-backed profile

Camera and photographic equipment repairers

Repair and adjust cameras and photographic equipment, including commercial video and motion picture camera equipment.

BLS SOC 49-9061 · O*NET-SOC 49-9061.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$52,720

Projected change, 2025–2035

-15.5%

2025–2035 annual average openings

100

AI exposure

Moderate

Editorial analysis

The camera is becoming more computational while repair remains physical

Modern cameras increasingly rely on software, sensors, image processors, autofocus algorithms, stabilization systems, connectivity, and computational photography. AI is becoming part of how cameras focus, identify subjects, reduce noise, process images, and sometimes generate portions of the final picture.

Smarter cameras can mean more specialized repairs

Repairers may need to diagnose not only mechanical shutters, lenses, mounts, and controls but also sensors, circuit boards, firmware, calibration systems, and electronically controlled optics. AI-assisted diagnostic tools can help narrow faults, but precision disassembly and repair remain physical tasks.

  • Service manuals and fault information can become easier to search with AI.
  • Diagnostic software may identify electronic or calibration problems more quickly.
  • Consumer replacement rather than repair remains an economic pressure for lower-cost equipment.
  • High-end cameras, professional lenses, specialty equipment, vintage gear, and precision calibration can support more specialized repair work.

The career may become increasingly niche, but specialization can matter. Repairers who combine optics, electronics, precision mechanics, and digital calibration skills can serve equipment that photographers and organizations cannot simply treat as disposable.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
1,800 jobs
Projected employment, 2035
1,500 jobs
Projected change, 20252035
-300 jobs (-15.5%)

Relative AI exposure

BLS category: Moderate. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Moderate

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • 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.
  • Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Electronic mail software
  • Spreadsheet software
  • Office suite software
  • Word processing software
  • Data base user interface and query software
  • Industrial control software

Preparation

Typical entry education
High school diploma or equivalent
Related experience
None
On-the-job training
Long-term on-the-job training

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Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.