Terrazzo workers and finishers
SOC Code: 47-2053
Terrazzo workers and finishers carries a 15% AI exposure score (Low automation risk), with a median annual wage of $57,260 and -11.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 1,500 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 15% AI exposure, Terrazzo workers and finishers sits 22 points below the 37.2% average across 832 U.S. occupations - more exposed than 2% of them. It ranks among the more AI-resilient roles in the dataset.
Career outlook score
48/100
Terrazzo workers and finishers, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage D $57,260
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -11.1%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) A+ 15% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Terrazzo workers and finishers in the Low band.
Credential × growth standing
Open entry on a declining BLS line
Typical entry is HS / some college (333/832) while growth is Declining (111/832). This is the crowded high-risk corner of the map - automation and headcount pressure compound without a degree moat.
Where Terrazzo workers and finishers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Terrazzo workers and finishers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
15% Among the lowest lower than 98% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Terrazzo workers and finishers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Terrazzo workers and finishers is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Terrazzo workers and finishers's Low automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 47-2053) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Terrazzo workers and finishers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Terrazzo workers and finishers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. 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.
- 2. Grind surfaces with a power grinder, or polish surfaces with polishing or surfacing machines.
- 3. 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.
- 4. Blend marble chip mixtures, place into panels, and push a roller over the surface to embed the chips.
- 5. Modify mixing, grouting, grinding, or cleaning procedures, according to type of installation or material used.
- 6. 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.
- 7. Grind curved surfaces or areas inaccessible to surfacing machine, such as stairways or cabinet tops, with portable hand grinder.
- 8. Wash polished terrazzo surface, using cleaner and water, and apply sealer and curing agent according to manufacturer's specifications, using brush or sprayer.
- 9. Position and secure moisture membrane and wire mesh in preparation for pouring base materials for terrazzo installation.
- 10. Fill slight grinding depressions with matching grout material and hand-trowel for a smooth, uniform surface.
Key Skills Required
- Coordination
- Quality Control Analysis
- Speaking
- Judgment and Decision Making
- Monitoring
- Operations Monitoring
- Operation and Control
- Time Management
- Critical Thinking
- Social Perceptiveness
Knowledge Areas
- Building and Construction
- Design
- Mathematics
- English Language
- Administration and Management
- Customer and Personal Service
- Chemistry
- Mechanical
- Public Safety and Security
- Production and Processing
Frequently Asked Questions
Will AI replace Terrazzo workers and finishers?
Terrazzo workers and finishers has an AI exposure score of 15%, indicating a low level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Terrazzo workers and finishers?
According to BLS Employment Projections 2024-2034, Terrazzo workers and finishers is projected to decline by 11.1% over the decade. Current employment stands at approximately 1,500 workers.
What skills are needed for Terrazzo workers and finishers?
Key skills for Terrazzo workers and finishers include Coordination, Quality Control Analysis, Speaking, and others. Typical entry-level education is High school diploma or equivalent.
How much do Terrazzo workers and finishers earn?
The median annual wage for Terrazzo workers and finishers is $57,260, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Terrazzo workers and finishers?
The typical entry-level education for Terrazzo workers and finishers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Apprenticeship. Requirements can vary by employer and specialization.
Which companies employ Terrazzo workers and finishers?
Terrazzo workers and finishers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Low automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Terrazzo workers and finishers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (15% here).
- Cement masons and concrete finishers · AI exposure 15%
- Construction laborers · AI exposure 15%
- Excavating and loading machine and dragline operators, surface mining · AI exposure 15%
- Helpers--installation, maintenance, and repair workers · AI exposure 15%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-11.1% here).
- Power plant operators · growth -11.2%
- Textile knitting and weaving machine setters, operators, and tenders · growth -11.2%
- Sewing machine operators · growth -10.8%
- Tool and die makers · growth -10.8%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 11 occupations with a comparable automation-risk profile.
What to do with this
Use Terrazzo workers and finishers' numbers above to compare, not just read in isolation.
- Compare Terrazzo workers and finishers side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).