Camera and Photographic Equipment Repairers

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

No strongly automatable task in the current data release.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Requisition parts or materials.41
• Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments.40
• Record test data and document fabrication techniques on reports.40

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Recommend design changes or upgrades of microfilming, film-developing, or photographic equipment.18
• Examine cameras, equipment, processed film, or laboratory reports to diagnose malfunction, using work aids and specifications.20
• Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications.27

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 31 puts Camera and Photographic Equipment Repairers in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 15 analyzed tasks lean automatable, 5 augmentable, and 10 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $52,720median wage
• 1,650employed
• 200annual openings
• -17.4%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Photographic Process Workers and Processing Machine Operators 62
• Motion Picture Projectionists 48
• Electrical and Electronics Repairers, Commercial and Industrial Equipment 47
• Prepress Technicians and Workers 70
• Computer, Automated Teller, and Office Machine Repairers 44
• Audiovisual Equipment Installers and Repairers 43

FAQ — Camera and Photographic Equipment Repairers

What does a score of 31 mean for a Camera and Photographic Equipment Repairers?

It means that, weighted across the 15 tasks we analyzed for this role, the task mix sits at 31 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Recommend design changes or upgrades of microfilming, film-developing, or photographic equipment; Examine cameras, equipment, processed film, or laboratory reports to diagnose malfunction, using work aids and specifications; Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.