Will AI replace Print Binding and Finishing Workers?
Estimated risk score: 16 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 35).
For the occupation as a whole, from ratings of its 26 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-5113.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 26 rated tasks. In O*NET’s words.
- Maintain records, such as daily production records, using specified forms.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 23 of its 26 rated tasks; the first 6 are shown. In O*NET’s words.
- Install or adjust bindery machine devices, such as knives, guides, rollers, rounding forms, creasing rams, or clamps, to accommodate sheets, signatures, or books of specified sizes.
- Lubricate, clean, or make minor repairs to machine parts to keep machines in working condition.
- Prepare finished books for shipping by wrapping or packing books and stacking boxes on pallets.
- Set up or operate bindery machines, such as coil binders, thermal or tape binders, plastic comb binders, or specialty binders.
- Set up or operate glue machines by filling glue reservoirs, turning switches to activate heating elements, or adjusting glue flow or conveyor speed.
- Set up or operate machines that perform binding operations, such as pressing, folding, or trimming.
What the job is
Bind books and other publications or finish printed products by hand or machine. May set up binding and finishing machines.
Also called: Book Binder, Bindery Worker, Binder Operator, Book Sewer, Bookbinder, Book Cutter, Book Mender, Book Coverer.
Related jobs, estimated
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate