# Stonemasons

> Build stone structures, such as piers, walls, and abutments. Lay walks, curbstones, or special types of masonry for vats, tanks, and floors.

- **SOC code:** 47-2022.00
- **Canonical URL:** https://singulariki.com/roles/role-47-2022-00
- **Also known as:** Mason, Stone Derrickman, Stone Setter, Stonemason, Marble Installer, Marble Shop Worker, Mason Mechanic, Stone Installer
- **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):
- Set vertical and horizontal alignment of structures, using plumb bob, gauge line, and level.
- Lay out wall patterns or foundations, using straight edge, rule, or staked lines.
- Set stone or marble in place, according to layout or pattern.
- Remove wedges, fill joints between stones, finish joints between stones, using a trowel, and smooth the mortar to an attractive finish, using a tuck pointer.
- Clean excess mortar or grout from surface of marble, stone, or monument, using sponge, brush, water, or acid.
- Shape, trim, face and cut marble or stone preparatory to setting, using power saws, cutting equipment, and hand tools.
- Mix mortar or grout and pour or spread mortar or grout on marble slabs, stone, or foundation.
- Construct and install prefabricated masonry units.
- Smooth, polish, and bevel surfaces, using hand tools and power tools.
- Lay brick to build shells of chimneys and smokestacks or to line or reline industrial furnaces, kilns, boilers and similar installations.
- Replace broken or missing masonry units in walls or floors.
- Remove sections of monument from truck bed, and guide stone onto foundation, using skids, hoist, or truck crane.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Static Strength _(ability)_
- Arm-Hand Steadiness _(ability)_
- Trunk Strength _(ability)_
- Near Vision _(ability)_
- Manual Dexterity _(ability)_
- Design _(knowledge)_
- Mathematics _(knowledge)_
- Problem Sensitivity _(ability)_
- Visualization _(ability)_
- Stamina _(ability)_
- Critical Thinking _(essential_skill)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- Visualization _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Time Management _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Word _(Common Skill)_

**Tools & technology:**
- Intuit QuickBooks _(hot technology)_
- Microsoft Active Server Pages ASP _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Citrix cloud computing software
- CPR Visual Estimator
- Gregg Software Gregg Rock-It
- ProEst Software ProEst Estimating
- RISA Technologies RISA-3D
- Tradesman's Software Master Estimator

## AI exposure & outlook

- **AI task-overlap index:** 1st percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 3rd percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 5th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 76th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -3.0% growth (Declining); 0.8k annual openings; 12.1k → 11.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $51,990; 8,750 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-47-2022-00_