# Plasterers and Stucco Masons

> Apply interior or exterior plaster, cement, stucco, or similar materials. May also set ornamental plaster.

- **SOC code:** 47-2161.00
- **Canonical URL:** https://singulariki.com/roles/role-47-2161-00
- **Also known as:** Plaster Applicator, Plaster Mechanic, Plasterer, Plasterer Journeyman, Applicator, Artisan Plasterer, Plaster and Stucco Worker, Plastering Contractor
- **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):
- Cover surfaces such as windows, doors, or sidewalks to protect from splashing.
- Clean job sites.
- Mix mortar and plaster to desired consistency or direct workers who perform mixing.
- Set up scaffolds.
- Apply coats of plaster or stucco to walls, ceilings, or partitions of buildings, using trowels, brushes, or spray guns.
- Determine materials needed to complete the job and place orders accordingly.
- Cure freshly plastered surfaces.
- Install guide wires on exterior surfaces of buildings to indicate thickness of plaster or stucco and nail wire mesh, lath, or similar materials to the outside surface to hold stucco in place.
- Apply weatherproof, decorative coverings to exterior surfaces of buildings, such as by troweling or spraying on coats of stucco.
- Clean and prepare surfaces for applications of plaster, cement, stucco, or similar materials, such as by drywall taping.
- Create decorative textures in finish coat, using brushes or trowels, sand, pebbles, or stones.
- Apply insulation to building exteriors by installing prefabricated insulation systems over existing walls or by covering the outer wall with insulation board, reinforcing mesh, and a base coat.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Near Vision _(ability)_
- Arm-Hand Steadiness _(ability)_
- Manual Dexterity _(ability)_
- Trunk Strength _(ability)_
- Extent Flexibility _(ability)_
- Multilimb Coordination _(ability)_
- Static Strength _(ability)_
- Gross Body Equilibrium _(ability)_
- Administration and Management _(knowledge)_
- Design _(knowledge)_
- Oral Expression _(ability)_

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

**Tools & technology:**
- Linux _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Database _(hot technology)_
- Salesforce software _(hot technology)_
- A-Systems JobView
- Autodesk 3ds Max Design
- Autodesk Maya
- Construction Software Center EasyEst
- Corel Paint Shop Pro
- Corel Painter

## 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.):** 2nd percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 11th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 31st percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 69th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.1% growth (About average); 1.9k annual openings; 24.2k → 25.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $56,020; 20,880 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-47-2161-00_