# Terrazzo Workers and Finishers

> Apply a mixture of cement, sand, pigment, or marble chips to floors, stairways, and cabinet fixtures to fashion durable and decorative surfaces.

- **SOC code:** 47-2053.00
- **Canonical URL:** https://singulariki.com/roles/role-47-2053-00
- **Also known as:** Terrazzo Finisher, Terrazzo Installer, Terrazzo Tile Setter, Terrazzo Worker, Grinder, Installer, Terrazzo Grinder, Terrazzo Journeyman
- **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):
- Measure designated amounts of ingredients for terrazzo or grout, according to standard formulas and specifications, using graduated containers and scales, and load ingredients into portable mixer.
- Grind surfaces with a power grinder, or polish surfaces with polishing or surfacing machines.
- Cut metal division strips and press them into the terrazzo base for joints or changes of color to form designs or patterns or to help prevent cracks.
- Blend marble chip mixtures, place into panels, and push a roller over the surface to embed the chips.
- Modify mixing, grouting, grinding, or cleaning procedures, according to type of installation or material used.
- Spread, level, or smooth concrete or terrazzo mixtures to form bases or finished surfaces, using rakes, shovels, hand or power trowels, hand or power screeds, or floats.
- Grind curved surfaces or areas inaccessible to surfacing machine, such as stairways or cabinet tops, with portable hand grinder.
- Wash polished terrazzo surface, using cleaner and water, and apply sealer and curing agent according to manufacturer's specifications, using brush or sprayer.
- Position and secure moisture membrane and wire mesh in preparation for pouring base materials for terrazzo installation.
- Fill slight grinding depressions with matching grout material and hand-trowel for a smooth, uniform surface.
- Sprinkle colored marble or stone chips, powdered steel, or coloring powder over surface to produce prescribed finish.
- Clean installation site, mixing and storage areas, tools, machines, and equipment, and store materials and equipment.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Manual Dexterity _(ability)_
- Design _(knowledge)_
- Multilimb Coordination _(ability)_
- Trunk Strength _(ability)_
- Near Vision _(ability)_
- Mathematics _(knowledge)_
- Arm-Hand Steadiness _(ability)_
- English Language _(knowledge)_
- Finger Dexterity _(ability)_
- Extent Flexibility _(ability)_
- Far Vision _(ability)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- English Language _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Chemistry _(Specialized Skill)_
- Visualization _(Specialized Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Depth Perception _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Intuit QuickBooks _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Windows _(hot technology)_
- Construction Management Software ProEst
- CPR International GeneralCOST Estimator
- CPR Visual Estimator
- On Center Quick Bid
- Sapro Systems Paymee

## AI exposure & outlook

- **AI task-overlap index:** 5th 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):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 21st percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 75th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -11.1% growth (Declining); 0.1k annual openings; 1.5k → 1.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $57,260; 1,450 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** — automation, 51% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Wet concrete surface and rub with stone to smooth surface and obtain specified finish. _(0.4% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me wet concrete surface and rub with stone to smooth surface and obtain specified finish.

## 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-47-2053-00_