BETA
Updated: Mar 20
BETA
Updated: Mar 20
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
51.6%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
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.
This role is evolving
The career of Camera and Photographic Equipment Repairers is labeled as "Evolving" because, while most of the repair work still relies on human skills like careful judgement and manual dexterity, technology like augmented reality is beginning to assist technicians by providing helpful guides and information. Although AI isn't replacing these jobs, it's slowly being integrated to make tasks easier and more efficient, such as using computer vision to detect issues.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of Camera and Photographic Equipment Repairers is labeled as "Evolving" because, while most of the repair work still relies on human skills like careful judgement and manual dexterity, technology like augmented reality is beginning to assist technicians by providing helpful guides and information. Although AI isn't replacing these jobs, it's slowly being integrated to make tasks easier and more efficient, such as using computer vision to detect issues.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Stable90.6%
90.6%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Evolving44.2%
44.2%
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Stable76.5%
76.5%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Changing fast13.5%
13.5%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Evolving32.6%
32.6%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
-15.1%
Growth Percentile:
2.3%
Annual Openings:
200
Annual Openings Pct:
1.5%
Analysis of Current AI Resilience
Camera and Photo Repairers
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Camera repair is largely hands-on work. Tasks like adjusting shutters, testing focus, or cleaning lenses are done with hand tools and careful judgement [1]. Right now, there aren’t any popular AI robots that take cameras apart or polish lenses for you.
Some shops are trying new tools: for example, augmented reality (AR) headsets can overlay diagrams or instructions during repairs [2] [2]. This means a technician wearing smart glasses might see step-by-step guides on the real camera in front of them. But even with AR help, a human still has to turn the screwdrivers and decide what’s broken.
In short, we didn’t find any AI system today that fully diagnoses or fixes cameras on its own. Most of the work remains manual and creative.
Sources
AI in the real world
Several factors make AI adoption slow here. Camera repairers need special skills and training that are hard to automate. For example, official job data note that workers typically start with basic education and require “long-term on-the-job training” to learn the craft [3].
This talent builds up over years, so businesses rely on experienced people. Also, the field is small: there are only a few thousand of these technicians nationwide [4] and job growth is flat [3]. It wouldn’t pay off to spend a fortune on custom AI just for a niche trade.
Camera repairers also earn a modest wage (around \$59K a year on average [4]), so replacing them with expensive robots or AI lines isn’t yet economical.
That said, AI and tech can help without replacing the worker. Shops already use computers to manage parts and warranty data, and emerging tools (like computer vision) might assist in spotting lens scratches or airflow issues. But for now, the most valuable skills are still human ones – steady hands, good judgement, and problem-solving.
In everyday terms, think of AI as a smart helper that can show you info or run tests, while you make the final call. There are no big legal or ethical barriers here, so acceptance isn’t a worry. The biggest hurdle is simply that the job’s fine detail work is not easy to put into a robot.
Sources
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More Career Info
Career: Camera and Photographic Equipment Repairers
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$49,300
Jobs (2024)
2,300
Growth (2024-34)
-15.1%
Annual Openings
200
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Requisition parts or materials.
2
Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids.
3
Record test data and document fabrication techniques on reports.
4
Disassemble equipment to gain access to defect, using hand tools.
5
Assemble aircraft cameras, still or motion picture cameras, photographic equipment, or frames, using diagrams, blueprints, bench machines, hand tools, or power tools.
6
Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools.
7
Lay out reference points and dimensions on parts or metal stock to be machined, using precision measuring 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.
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