# Stone Cutters and Carvers, Manufacturing

> Cut or carve stone according to diagrams and patterns.

- **SOC code:** 51-9195.03
- **Canonical URL:** https://singulariki.com/roles/role-51-9195-03
- **Also known as:** Carver, Sandblaster, Stone Carver, Stone Cutter, Cutter, Granite Cutter, Polisher, Sandblast Carver
- **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 depths and dimensions of cuts or carvings to ensure adherence to specifications, blueprints, or models, using measuring instruments.
- Move fingers over surfaces of carvings to ensure smoothness of finish.
- Study artistic objects or graphic materials, such as models, sketches, or blueprints, to plan carving or cutting techniques.
- Shape, trim, or touch up roughed-out designs with appropriate tools to finish carvings.
- Carve designs or figures in full or bas relief on stone, employing knowledge of stone carving techniques and sense of artistry to produce carvings consistent with designers' plans.
- Lay out designs or dimensions from sketches or blueprints on stone surfaces, freehand or by transferring them from tracing paper, using scribes or chalk and measuring instruments.
- Cut, shape, and finish rough blocks of building or monumental stone, according to diagrams or patterns.
- Drill holes and cut or carve moldings and grooves in stone, according to diagrams and patterns.
- Select chisels, pneumatic or surfacing tools, or sandblasting nozzles, and determine sequence of use.
- Carve rough designs freehand or by chipping along marks on stone, using mallets and chisels or pneumatic tools.
- Guide nozzles over stone, following stencil outlines, or chip along marks to create designs or to work surfaces down to specified finishes.
- Smooth surfaces of carvings, using rubbing stones.

## Skills, tools, capabilities

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

**Skills in demand:**
- Mathematics _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Visualization _(Specialized Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Word _(hot technology)_
- Corel Paint Shop Pro
- Inventory control software
- Timekeeping software

## AI exposure & outlook

- **AI task-overlap index:** 17th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 11th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 22nd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 28th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 78th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 6.2% growth (About average); 5.5k annual openings; 41.7k → 44.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $45,690; 34,750 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-51-9195-03_