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Plant and machine operators, and assemblers · code 8132

Photographic products machine operators

Digital cameras already took most of this job. What's left is specialist.

Six of the eight tasks are mostly out of AI's reach, including running developing and printing equipment. Making film and paper and preparing film in the darkroom it barely touches.

What they actually do (and what else they get called)

Photographic products machine operators operate and monitor equipment which makes photographic film and paper, and which processes exposed photographic film and makes prints. Tasks include - (a) operating and monitoring equipment which makes photographic film and paper; (b) operating, monitoring and testing photographic processing and printing equipment, and maintaining operational standards; (c) preparing exposed film for different processing batches in dark rooms and dark chambers; (d) inspecting images, films and prints, and adjusting settings on printmaking equipment to produce the required colour, brightness, contrast, number, size and type of prints; (e) adjusting settings and running automatic developing equipment; (f) operating equipment to transfer film to videotape or other electronic media; (g) performing photographic processing-related tasks; (h) operating automatic equipment (in retail establishments) to develop colour negatives, prints and slides. Examples of occupations classified here: - Colour developer (film) - Darkroom technician - Developing machine operator (photography) - Enlarging machine operator - Photograph enlarger - Photographic film machine operator - Photographic film printer - Photographic processor - Photograph printer Some related occupations classified elsewhere: - Photographer - 3431 - Photolithographer - 7321

  • photographic developer
  • motion picture film developer

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

73 / 100

Mostly holds up against AI

AI can take a few chores off your plate, but most of the day is still yours.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Not Exposed

215 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 8 tasks for how much of it AI could do. They average 27.2 out of 100, so it holds up at 100 − 27.2 = 72.8.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

This job rates 41.3 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Man v Bot · compare

Who holds up better?

Photographic products machine operators 73

v

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

  • Automated printing and processing.
  • Digital colour correction.
  • Scanning and digitising film.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Darkroom processing of film.
  • Archival and specialist printing.
  • Judging colour and quality by eye.

Both

What's arriving

New work that only exists because the AI does.

  • Digitising photo and film archives.
  • Film photography as a hobby revival.
  • Fine art printing.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Low

31 could do without you

It could take over very little of the work on its own. It could help with 62 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

41 how hands-on

A fair part of this job is hands-on, so robots would be needed for that part, not just software.

So could a robot do the physical part?

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 38 out of 100. The higher it is, the longer the robot waits.

41 How
hands-on
38 How fiddly
and cramped

Kind of hands-on work Less than half hands-on

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, matched to one US job .

finger skill 41.1 · hand skill 39.3 · cramped spaces 34.8 · averaged · rule: hands-on under 50

estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 35, against an average of 27. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 35

    Adjusting settings and running automatic developing equipment

    Low
  2. 32

    Operating, monitoring and testing photographic processing and printing equipment, and maintaining operational standards

    Low
  3. 32

    Performing photographic processing-related tasks

    Low
  4. 29

    Operating automatic equipment (in retail establishments) to develop colour negatives, prints and slides

    Low
  5. 28

    Inspecting images, films and prints, and adjusting settings on printmaking equipment to produce required colour, brightness, contrast, number, size and type of prints

    Low
  6. 25

    Operating equipment to transfer film to videotape or other electronic media

    Low
  7. 20

    Operating and monitoring equipment which makes photographic film and paper

    Very Low
  8. 18

    Preparing exposed film for different processing batches in dark rooms and dark chambers

    Very Low

8 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
62
AI does it for you
31

Sidekick wins, by 30 points.

How good a match is this?

3 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 3999, 7114, 7119

Meanwhile, in real life…

Everything else here is about what AI could do. This is what people actually did. When they asked Claude for help with this kind of work, did they hand the whole task over, or roll their sleeves up and work through it together?

Tiny sample alert This job makes up under 0.01% of all the conversations: a tiny slice. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

19
81

worked through it together handed it over

The small print

Anthropic publishes this about its own product, and it doesn't feed into any score here. These are people who use Claude, not workers in general, so little use here doesn't mean AI can't reach the job.

These two add up to 100. The bars elsewhere on the page don't, because each is scored on its own, so we don't put them side by side.

observed use Anthropic Economic Index release 2026-06-26, period beginning 2026-05-01 data 0.8-observed-use 2026-05-01 · Anthropic, about its own product

So, should photo processing operators be worried?

Short answer: not much. Some of the chores will change, and good riddance.

Yes, though this happened years ago. Running developing equipment, printing and film transfer are the most exposed tasks, all Low; preparing film in darkrooms rates Very Low. Digital photography replaced most film processing; the remaining work is specialist, archival and artistic.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 39 jobs in the “Plant and machine operators, and assemblers” family, averaging 80. This one is below the family average.

Pit this against any other job →