Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Camera and Photo Repairers:
37.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forCamera and Photographic Equipment Repairers
$52,720 median salary•100 annual openings•SOC Code: 49-9061.00
Camera and Photographic Equipment Repairers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Camera and photographic equipment repair earns a "Somewhat Resilient" label because the physical, hands-on work of disassembling cameras, adjusting tiny mechanical parts, and recalibrating lenses simply cannot be done by AI or robots, keeping human technicians essential for the foreseeable future. At the same time, AI is starting to show up on the diagnostic and administrative side of the job, helping technicians identify likely faults, manage parts, and interpret service manuals faster than before.
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Camera and photographic equipment repair earns a "Somewhat Resilient" label because the physical, hands-on work of disassembling cameras, adjusting tiny mechanical parts, and recalibrating lenses simply cannot be done by AI or robots, keeping human technicians essential for the foreseeable future. At the same time, AI is starting to show up on the diagnostic and administrative side of the job, helping technicians identify likely faults, manage parts, and interpret service manuals faster than before.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Camera and Photo Repairers
Updated Quarterly
How is AI changing Camera and Photo Repairers jobs?
If you're worried a robot is about to take over camera repair benches, take a breath — this is one of the least automated skilled trades around. According to O*NET's occupational profile [1], only about 2,300 people work as Camera and Photographic Equipment Repairers in the U.S., and the field is projected to decline slightly through 2034, meaning there simply isn't enough volume to attract big AI vendors. Most of the day-to-day work — disassembling bodies, adjusting shutters and lens systems, and fabricating tiny parts on a lathe — still requires human hands and eyes.
As a PetaPixel feature on KEH's repair operation notes, technicians work with collimators and precision instruments to repair and recalibrate optics, tasks no software can physically perform.
Where AI is showing up is in the "brain" side of repair, not the "hands" side. In closely related fields, specialists are shifting from purely manual inspections to intelligent diagnostic systems that identify complex malfunctions, transforming the repair workflow, and AI predictive maintenance uses machine learning and sensor data to predict equipment failures 30 to 90 days before they occur. Expect the same pattern for cameras: AI helping with parts requisitioning, translating service manuals, and suggesting likely faults from customer descriptions — augmenting technicians rather than replacing them.
Sources
How fast is AI adoption growing for Camera and Photo Repairers?
Adoption will likely be slow. The industry is fragmented; Mike Eckman's worldwide camera repair directory [2] shows that there are fewer options for camera repairs than ever before, and the demand for the skills and tools to properly clean, lube, and adjust a film camera are not what they used to be — meaning most shops are tiny operations that can't afford enterprise AI. Commercial diagnostic AI for cameras basically doesn't exist off-the-shelf, and even with AI assistance, repair success depends heavily on precision tools, and AI can guide technicians but cannot replace hands-on expertise.
Add in the growing "right-to-repair" and vintage-film revival — where customers specifically want a human craftsperson touching their gear — and the social case for full automation is weak.
The upside for you: hands-on troubleshooting, mechanical intuition, and customer trust remain deeply human strengths. If you love taking things apart and understanding how they work, this career rewards exactly the skills AI struggles to copy.
Sources
Will AI replace Camera and Photo Repairers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Camera and Photographic Equipment Repairers earn a 37.8% AI Resilience Score, which reflects a real but partial threat. The field is small, only around 2,300 workers in the U.S. [1], and so fragmented that most shops are tiny operations unlikely to afford enterprise AI tools. Commercial diagnostic software for cameras barely exists yet, and even if it did, the physical work of disassembling bodies, adjusting shutters, and recalibrating optics still requires human hands and precision instruments.
Where AI will show up is on the "brain" side of the job: suggesting likely faults from a customer's description, translating service manuals, or flagging parts to order. That kind of augmentation is already reshaping related repair trades. But it guides technicians rather than replacing them.
The harder truth is that long-term employer demand is weak. The field was already shrinking before AI entered the picture, and fewer shops means fewer openings overall [2]. The economic opportunity is limited too. If you love this craft, that's worth knowing going in. The good news: the growing vintage-film revival and right-to-repair culture mean customers actively want a skilled human working on their gear, and that human trust is something AI simply cannot replicate.
Sources
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Latest AI news for Camera and Photo Repairers
These articles highlight both challenges and opportunities for aspiring Camera and Photographic Equipment Repairers. The analysis on AI's impact reveals a notable risk of automation in repair tasks, with a 66/100 replacement risk score. However, emotional intelligence and specialized problem-solving in areas like wedding photography remain resistant to AI. This suggests that while some technical aspects may evolve, a strong human touch in repairs and customer interactions will be crucial, offering a resilient career path for those who adapt and enhance their skills in this changing landscape.
Camera and Photographic Equipment Repairers
willrobotstakemyjob.com • 9/20/2026
Jun 12, 2019 — Dive into a fascinating analysis on how AI and robotics could reshape the field of Camera & Photographic Equipment Repair.
Will AI Replace Camera and Photographic Equipment ...
www.replacedbai.com • 9/20/2026
Mar 28, 2026 — Camera and Photographic Equipment Repairers have a high AI replacement risk (66/100). Repair and adjust cameras and photographic equipment, ...
Why These Five Photography Jobs Are (Mostly) Safe From AI
fstoppers.com • 9/20/2026
Oct 31, 2025 — Wedding photography and four other specializations rely on emotional intelligence and human judgment that AI cannot replicate.
Photography ai jobs
www.indeed.com • 9/20/2026
Browse 45870 Photography Ai jobs. $250 - $500 a month … $8 - $65 an hour $25 - $30 an hour Own camera and photography equipment. $60,000 - $90,000 a year
Camera Equipment Repairer - UGuide
uguide.utah.edu • 9/20/2026
A camera and photographic equipment repairer diagnoses and fixes problems in cameras, lenses, lighting systems, and video equipment ・ ranging from $35K to $78 ...
More Career Info
Career: Camera and Photographic Equipment Repairers
They fix cameras and other photo equipment by identifying issues and repairing or replacing broken parts to make them work like new again.
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Employment & Wage Data
Median Wage
$52,720
Jobs (2025)
1,800
Growth (2025-35)
-15.5%
Annual Openings
100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications.
2
Assemble aircraft cameras, still or motion picture cameras, photographic equipment, or frames, using diagrams, blueprints, bench machines, hand tools, or power tools.
3
Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.
4
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.
5
Disassemble equipment to gain access to defect, using hand tools.
6
Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.
7
Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
