Print Binding and Finishing Workers
In short: today's best AI models could do about 6% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 8% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 92% of the time, stays with people.
Bind books and other publications or finish printed products by hand or machine. May set up binding and finishing machines.
33,180 people do this job in the US. $42,290 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on2 h
- A person checks AI's work0 h
- Desk work AI can't do yet1 h
- Stays with people37 h
Print Binding and Finishing Workers, now: of a 40-hour week, AI could take on 2 hours, 0 hours become checking its work, 1 hours are desk work it can't do yet, and 37 hours stay with people.
The largest pieces: Design original or special bindings for limited editions or other custom binding projects (under an hour); Maintain records, such as daily production records, using specified forms (under an hour); Read work orders to determine instructions and specifications for machine set-up (under an hour).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 8%
- 2%
- 90%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 2%. With Claude Mythos Preview (early), measured in April 2026, 4%. Today's estimate: 7%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 25 tasks showed up. Within each of Anthropic's methods, never across a change: none to 0.0018% (released February and March 2025).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | none | n/a | 0 of 25 |
| Released March 2025 | 0.0018% | 681 of 703 | 1 of 25 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 25 |
| The week of Nov 13, 2025 (released January 2026) | none | n/a | 0 of 25 |
| The week of Feb 5, 2026 (released March 2026) | none | n/a | 0 of 25 |
| April 2026 (released June 2026) | none | n/a | 0 of 25 |
| May 2026 (released June 2026) | none | n/a | 0 of 25 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 91% of this job's working time as physical work. For 90% of the working time, a robot has been shown doing most of the task somewhere: 75% in a purpose-built cell, 15% in a structured facility. 1.05 of 3, the 93rd highest of the 923 jobs.
- Not physical 9%
- No robot shown 1%
- In a purpose-built cell 75%
- In a structured facility 15%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 25 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Repair, restore, or rebind old, rare, or damaged books, using hand tools.Done more than monthly by most who do it.Robots: no robot shown. Anthropic's rating. | 15% | 6.7 h1.7 h to 3.1 work days | Stays with people | |
| Stitch or glue endpapers, bindings, backings, or signatures, using sewing machines, glue machines, or glue and brushes.Done hourly or more by most who do it. Robots: in a purpose-built cell, Muller Martini Vareo PRO / Antaro Digital perfect binder with Hunkeler Plowfolder/Starbook and InfiniTrim (Müller Martini / Hunkeler) (sold). Anthropic's rating. | 8% | 33 min13 min to 1.7 h | Stays with people | |
| Form book bodies by folding and sewing printed sheets to form signatures and assembling signatures in numerical order.Done more than weekly by most who do it.Robots: in a purpose-built cell, Meccanotecnica Multiplex SA gathering & sewing line (MX4 gatherer + asterTOP/asterPRO sewers) (sold). Anthropic's rating. | 6% | 1.7 h25 min to 3.3 h | Stays with people | |
| Set up or operate machines that perform binding operations, such as pressing, folding, or trimming.Done daily by most who do it. Robots: in a purpose-built cell, Heidelberg Stahlfolder KH 82-6 KTL (Hertig+Co. AG, Lyss) (Heidelberger Druckmaschinen AG) (deployed). Anthropic's rating. | 6% | 38 min13 min to 2.1 h | Stays with people | |
| Prepare finished books for shipping by wrapping or packing books and stacking boxes on pallets.Done daily by most who do it. Robots: in a purpose-built cell, Müller Martini / Solema in-line packaging and palletizing system (Magic Box cartoner + Pluton palletizer) (deployed). Anthropic's rating. | 6% | 33 min13 min to 1.3 h | Stays with people | |
| Train workers to set up, operate, and use automatic bindery machines.Done more than yearly by most who do it. | 5% | 2.5 h50 min to 6.7 h | Stays with people | |
| Bind new books, using hand tools such as bone folders, knives, hammers, or brass binding tools.Done daily by most who do it.Robots: in a purpose-built cell, Müller Martini Diamant MC casing-in line (deployed). Anthropic's rating. | 5% | 2.5 h50 min to 6.7 h | Stays with people | |
| 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.Done daily by most who do it. Robots: in a purpose-built cell, Heidelberg Stahlfolder KH 82-6 KTL (Heidelberger Druckmaschinen AG) (deployed). Anthropic's rating. | 5% | 38 min13 min to 1.3 h | Stays with people | |
| Trim edges of books to size, using cutting machines, book trimming machines, or hand cutters.Done daily by most who do it. Robots: in a purpose-built cell, Müller Martini InfiniTrim three-knife trimmer (sold). Anthropic's rating. | 5% | 25 min8 min to 50 min | Stays with people | |
| Set up or operate bindery machines, such as coil binders, thermal or tape binders, plastic comb binders, or specialty binders.Done daily by most who do it. Robots: in a purpose-built cell, Renz Inline 500 (ASM 500 punch module + ABL 500 binder) (Chr. Renz GmbH) (sold). Anthropic's rating. | 5% | 33 min13 min to 1.7 h | Stays with people | |
| Design original or special bindings for limited editions or other custom binding projects.Done more than monthly by most who do it. | 5% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Set up or operate glue machines by filling glue reservoirs, turning switches to activate heating elements, or adjusting glue flow or conveyor speed.Done daily by most who do it. Robots: in a structured facility, Robatech Vision melter with RobaFeed 3 / GlueFill automatic filling system (sold). Anthropic's rating. | 4% | 25 min8 min to 50 min | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Paper Goods Machine Setters, Operators, and Tenders0% now, 0% by 2028
- Cutting and Slicing Machine Setters, Operators, and Tenders7% now, 7% by 2028
- Adhesive Bonding Machine Operators and Tenders9% now, 9% by 2028
- Sewing Machine Operators2% now, 2% by 2028
- Textile Cutting Machine Setters, Operators, and Tenders14% now, 14% by 2028
- Machine Feeders and Offbearers5% now, 5% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Print Binding and Finishing Workers is within reach of AI now?
- An estimated 7% of the working time is within reach of AI models now and 9% by the end of 2028, on METR's long-run pace at four in five (8% to 9% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Print Binding and Finishing Workers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Design original or special bindings for limited editions or other custom binding projects (55% of the task's time now, 100% by the end of 2028); Maintain records, such as daily production records, using specified forms (100% of the task's time now); and Read work orders to determine instructions and specifications for machine set-up (100% of the task's time now).
- Which tasks of Print Binding and Finishing Workers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Repair, restore, or rebind old, rare, or damaged books, using hand tools; Stitch or glue endpapers, bindings, backings, or signatures, using sewing machines, glue machines, or glue and brushes; and Form book bodies by folding and sewing printed sheets to form signatures and assembling signatures in numerical order. Together such tasks are about 92% of the working time.
- Do people already use AI for the work of Print Binding and Finishing Workers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Print Binding and Finishing Workers?
- Anthropic's robot exposure rating (September 2026) finds 91% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 90% of the working time, 15% in a structured facility. Its index is 1.05 of 3. One example: Robatech Vision melter with RobaFeed 3 / GlueFill automatic filling system for "set up or operate glue machines by filling glue reservoirs, turning switches to activate heating elements, or adjusting glue flow or conveyor speed". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 25 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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