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Craft and related trades workers · code 7323

Print finishing and binding workers

The binding line runs itself. Restoring a 200-year-old book doesn't.

Running copying machines and setting up binding equipment are mostly out of AI's reach. Folding, sewing and binding books by hand and machine it barely touches.

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

Print finishing and binding workers bind books and other publications, and finish printed products by hand or machine. Tasks include - (a) setting up and supervising the operation of automatic binding and finishing equipment; (b) binding full, half and limp-bound books, and repairing bindings; (c) folding, collating and sewing signatures by machine and hand; (d) operating paper guillotines for pre-press and post-press paper cutting and trimming, and programming electronically operated units; (e) operating systems to insert printed material into newspapers, magazines and envelopes; (f) embellishing printed products automatically and manually; (g) operating photographic and electronic reproduction devices. Examples of the occupations classified here: - Book binder - Collator operator - Cutter operator - Foil stamp operator - Folder operator - Gatherer operator - Multibinder operator - Perfect binder operator - Saddle stitch operator - Small machine bindery worker

  • bindery operator
  • book restorer
  • print folding operator
  • book-sewing machine operator

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

78 / 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

170 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 7 tasks for how much of it AI could do. They average 22 out of 100, so it holds up at 100 − 22 = 78.

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.

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

Pinch of salt: this number is probably too rosy

It only asks what AI software could do, and this job is 67 out of 100 hands-on. A chatbot can't do that part. A robot might, one day, and nobody measures how close that is.

Man v Bot · compare

Who holds up better?

Print finishing and binding workers 78

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 binding and finishing lines.
  • Digital job setup.
  • Programmable guillotines.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Hand binding and book repair.
  • Setting up and fixing machines.
  • Finishing short and special runs.

Both

What's arriving

New work that only exists because the AI does.

  • Print on demand.
  • Book restoration and conservation.
  • Personalised and premium print products.

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

27 could do without you

It could take over very little of the work on its own. It could help with 55 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

67 how hands-on

Most of this job needs hands, a body or turning up. That's robot territory, and nobody measures how far robots have got well enough to give you a number. We won't make one up.

So could a robot do the physical part?

More fine handwork, and more time in cramped or awkward spots, than a typical hands-on job. That is exactly what machines find hardest: they do best in tidy, predictable places.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 43 out of 100. The higher it is, the longer the robot waits.

67 How
hands-on
43 How fiddly
and cramped

Kind of hands-on work Hands-on, fiddly work in tight spaces

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 46.4 · hand skill 44.6 · cramped spaces 36.8 · averaged · rule: hands-on 50+ · fiddly 39.4+

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 37, against an average of 22. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 37

    Operating photographic and electronic reproduction devices.

    Low
  2. 28

    Setting up and supervising the operation of automatic binding and finishing equipment

    Low
  3. 27

    Embellishing printed products automatically and manually

    Low
  4. 19

    Operating systems to insert printed material into newspapers, magazines and envelopes

    Very Low
  5. 18

    Operating paper guillotines for pre-press and post-press paper cutting and trimming, and programming electronically operated units

    Very Low
  6. 14

    Folding, collating and sewing signatures by machine and hand

    Very Low
  7. 13

    Binding full, half and limp-bound books, and repairing bindings

    Very Low

7 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
55
AI does it for you
27

Sidekick wins, by 28 points.

How good a match is this?

2 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 3921, 8995

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, mostly the paperwork rather than the work. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

7
93

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 print finishers and bookbinders be worried?

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

Parts of it. Running reproduction devices and setting up automatic binding are the most exposed tasks, both Low; hand binding, repairs and folding rate Very Low. Print finishing is heavily automated; hand binding and restoration stay a craft.

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 65 jobs in the “Craft and related trades workers” family, averaging 84. This one is below the family average.

Pit this against any other job →