# Cabinetmakers and Bench Carpenters

> Cut, shape, and assemble wooden articles or set up and operate a variety of woodworking machines, such as power saws, jointers, and mortisers to surface, cut, or shape lumber or to fabricate parts for wood products.

- **SOC code:** 51-7011.00
- **Canonical URL:** https://singulariki.com/roles/role-51-7011-00
- **Also known as:** Cabinet Assembler, Cabinet Installer, Cabinetmaker, Frame Builder, Cabinet Builder, Double End Tenon Operator, Framer, Woodworker
- **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):
- Verify dimensions or check the quality or fit of pieces to ensure adherence to specifications.
- Produce or assemble components of articles, such as store fixtures, office equipment, cabinets, or high-grade furniture.
- Measure and mark dimensions of parts on paper or lumber stock prior to cutting, following blueprints, to ensure a tight fit and quality product.
- Set up or operate machines, including power saws, jointers, mortisers, tenoners, molders, or shapers, to cut, mold, or shape woodstock or wood substitutes.
- Establish the specifications of articles to be constructed or repaired, or plan the methods or operations for shaping or assembling parts, based on blueprints, drawings, diagrams, or oral or written instructions.
- Attach parts or subassemblies together to form completed units, using glue, dowels, nails, screws, or clamps.
- Estimate the amounts, types, or costs of needed materials.
- Reinforce joints with nails or other fasteners to prepare articles for finishing.
- Install hardware, such as hinges, handles, catches, or drawer pulls, using hand tools.
- Trim, sand, or scrape surfaces or joints to prepare articles for finishing.
- Cut timber to the right size, and shape and trim parts of joints to ensure a snug fit, using hand tools, such as planes, chisels, or wood files.
- Match materials for color, grain, or texture, giving attention to knots or other features of the wood.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mathematics _(knowledge)_
- Arm-Hand Steadiness _(ability)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Near Vision _(ability)_
- Building and Construction _(knowledge)_
- Control Precision _(ability)_
- Production and Processing _(knowledge)_
- Multilimb Coordination _(ability)_
- Trunk Strength _(ability)_
- Operations Monitoring _(transferable_skill)_
- Visualization _(ability)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Visualization _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Equipment Selection _(Specialized Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Windows _(hot technology)_
- Computer estimation software
- Computerized maintenance management system CMMS

## AI exposure & outlook

- **AI task-overlap index:** 20th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 8th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 22nd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 37th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 82nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -1.6% growth (Declining); 8.1k annual openings; 86k → 84.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $46,020; 79,540 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/
- **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-51-7011-00_