# Carpenters

> Construct, erect, install, or repair structures and fixtures made of wood and comparable materials, such as concrete forms; building frameworks, including partitions, joists, studding, and rafters; and wood stairways, window and door frames, and hardwood floors. May also install cabinets, siding, drywall, and batt or roll insulation. Includes brattice builders who build doors or brattices (ventilation walls or partitions) in underground passageways.

- **SOC code:** 47-2031.00
- **Canonical URL:** https://singulariki.com/roles/role-47-2031-00
- **Also known as:** Cabinet Maker, Carpenter, Form Carpenter, Scaffold Builder, Bridge Carpenter, Concrete Carpenter, Construction Carpenter, Framer
- **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):
- Follow established safety rules and regulations and maintain a safe and clean environment.
- Measure and mark cutting lines on materials, using a ruler, pencil, chalk, and marking gauge.
- Assemble and fasten materials to make frameworks or props, using hand tools and wood screws, nails, dowel pins, or glue.
- Study specifications in blueprints, sketches, or building plans to prepare project layout and determine dimensions and materials required.
- Shape or cut materials to specified measurements, using hand tools, machines, or power saws.
- Verify trueness of structure, using plumb bob and level.
- Cover subfloors with building paper to keep out moisture and lay hardwood, parquet, or wood-strip-block floors by nailing floors to subfloor or cementing them to mastic or asphalt base.
- Construct forms or chutes for pouring concrete.
- Arrange for subcontractors to deal with special areas, such as heating or electrical wiring work.
- Build or repair cabinets, doors, frameworks, floors, or other wooden fixtures used in buildings, using woodworking machines, carpenter's hand tools, or power tools.
- Inspect ceiling or floor tile, wall coverings, siding, glass, or woodwork to detect broken or damaged structures.
- Erect scaffolding or ladders for assembling structures above ground level.

**Emerging tasks** (O*NET):
- Use drones for site surveying and to inspect hard-to-reach areas of a structure.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Administration and Management _(knowledge)_
- Mathematics _(knowledge)_
- Problem Sensitivity _(ability)_
- Visualization _(ability)_
- Design _(knowledge)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Near Vision _(ability)_
- Engineering and Technology _(knowledge)_
- Deductive Reasoning _(ability)_
- Information Ordering _(ability)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- Visualization _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Physics _(Specialized Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Intuit QuickBooks _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Bosch Punch List
- Craftsman CD Estimator
- Drawing and drafting software
- Estimating software
- Job costing software
- Quicken
- Renaissance MasterCarpenter

## AI exposure & outlook

- **AI task-overlap index:** 13th 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):** 28th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 13th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 59th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.5% growth (About average); 74.1k annual openings; 959k → 1,002.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $59,310; 697,740 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-47-2031-00_