# Print Binding and Finishing Workers

> Bind books and other publications or finish printed products by hand or machine. May set up binding and finishing machines.

- **SOC code:** 51-5113.00
- **Canonical URL:** https://singulariki.com/roles/role-51-5113-00
- **Also known as:** Binder Operator, Bindery Operator, Bindery Worker, Book Binder, Bindery Technician, Custom Bookbinder, Perfect Binder Operator, Bander
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Examine stitched, collated, bound, or unbound product samples for defects, such as imperfect bindings, ink spots, torn pages, loose pages, or loose or uncut threads.
- Read work orders to determine instructions and specifications for machine set-up.
- 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.
- Stitch or glue endpapers, bindings, backings, or signatures, using sewing machines, glue machines, or glue and brushes.
- Trim edges of books to size, using cutting machines, book trimming machines, or hand cutters.
- Insert book bodies in devices that form back edges of books into convex shapes and produce grooves that facilitate cover attachment.
- Monitor machine operations to detect malfunctions or to determine whether adjustments are needed.
- Maintain records, such as daily production records, using specified forms.
- Lubricate, clean, or make minor repairs to machine parts to keep machines in working condition.
- Set up or operate bindery machines, such as coil binders, thermal or tape binders, plastic comb binders, or specialty binders.
- Set up or operate machines that perform binding operations, such as pressing, folding, or trimming.
- Cut cover material to specified dimensions, fitting and gluing material to binder boards by hand or machine.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Administration and Management _(knowledge)_
- Problem Sensitivity _(ability)_
- Finger Dexterity _(ability)_
- Near Vision _(ability)_
- Operations Monitoring _(transferable_skill)_
- Production and Processing _(knowledge)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Arm-Hand Steadiness _(ability)_
- Manual Dexterity _(ability)_
- Critical Thinking _(essential_skill)_
- Deductive Reasoning _(ability)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- Visualization _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Complex Problem Solving _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Word _(hot technology)_
- Email software
- Houchen Bindery Library Automated Retrieval System LARS
- Label printing software
- Microsoft Publisher
- Trade Bindery Software Bindery Estimating System
- Trade Bindery Software Bindery Management System
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 12th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 21st percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 17th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 8th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 89th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -16.1% growth (Declining); 2.8k annual openings; 35.8k → 30k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $39,820; 36,470 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-51-5113-00_