Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

68.3%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Terrazzo Workers and Finishers

They create beautiful, durable floors by mixing, pouring, and polishing materials like marble chips and cement, ensuring surfaces are smooth and attractive.

This role is evolving

The career of terrazzo workers and finishers is labeled as "Evolving" because while some tasks like grinding and polishing are starting to be automated with machines, many key parts of the job still rely on human skills. Creative tasks such as mixing and setting design patterns require personal judgment and artistry, which machines can't replicate yet.

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This role is evolving

The career of terrazzo workers and finishers is labeled as "Evolving" because while some tasks like grinding and polishing are starting to be automated with machines, many key parts of the job still rely on human skills. Creative tasks such as mixing and setting design patterns require personal judgment and artistry, which machines can't replicate yet.

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Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

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Stable iconStable

86.2%

86.2%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

77.2%

77.2%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

41.0%

41.0%

Althoff & Reichardt

Economic Growth

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Evolving iconEvolving

69.5%

69.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

-11.1%

Growth Percentile:

4.5%

Annual Openings:

100

Annual Openings Pct:

0.3%

Analysis of Current AI Resilience

Terrazzo Worker & Finisher

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Today, most terrazzo work is still done by hand. People mix and pour the base, lay down membranes and wire mesh, and sprinkle decorative marble chips manually. We didn’t find any robot that actually “sprinkles” chips or curves edges in artistic ways – those steps need a person’s skill and judgment.

However, machines are starting to help with some parts. For example, special robots can grind and polish floors. News sources report that in construction, large floor-laying robots use cameras and sensors to place tiles or smooth concrete surfaces automatically [1] [2].

One article notes these robots can cover hundreds of square meters per hour with steady quality [2]. Another points out that tile–laying robots can install big floor sections fast and even collect data so humans can check quality [1]. In short, heavy repetitive tasks like floor grinding or laying tiles are being automated in some places.

But many terrazzo tasks remain manual – for example, O*NET lists “sprinkle colored marble or stone chips” and “modify mixing or cleaning procedures” as core tasks [3] [3]. These tasks involve creativity and adaptability. Right now, workers still pour mixes and adjust recipes by eye, and set design patterns by hand.

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AI Adoption

AI in the real world

Why would terrazzo shops use robots? One big reason is labor. The tile and construction industries often have a shortage of skilled workers.

In fact, news reports mention that in places like Australia and the UK, builders are using robots to help with bricklaying because there aren’t enough craftsmen [1]. That same thinking could apply to terrazzo: if skilled finishers are hard to find, a company might try a grinding robot to save labor. Also, robots can run longer or work in bad weather, which helps scheduling [1].

We even saw that one startup raised a large investment and is selling “robots as a service” for flooring work [1], which means companies can use a robot without buying it outright.

On the other hand, adopting AI in terrazzo work faces hurdles. Construction sites are very different from factories, so it can be hard to fit a robot into the workflow [1]. For example, robots must meet building rules and often still need a human supervisor (one report says brick robots need one person for every two machines [1]).

Robots and computers also cost a lot up front, and many terrazzo jobs are one-off or decorative, which makes robots less useful.

In short, automated tools exist for some parts of terrazzo work (like grinding and polishing) and offer big productivity gains [2]. But other parts – creative finishing, mixing, and edging – are not yet automated. The human skills of judgment and fine motor control remain important.

Over time, companies may use more machines for the heavy, repetitive parts, especially if worker costs rise, but most terrazzo finishers’ detailed work will likely stay in human hands for now [1] [2].

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More Career Info

Career: Terrazzo Workers and Finishers

Employment & Wage Data

Median Wage

$57,260

Jobs (2024)

1,500

Growth (2024-34)

-11.1%

Annual Openings

100

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Mold expansion joints and edges, using edging tools, jointers, or straightedges.

2

90% ResilienceCore Task

Move terrazzo installation materials, tools, machines, or work devices to work areas, manually or using wheelbarrow.

3

90% ResilienceSupplemental

Signal truck driver to position truck to facilitate pouring concrete and move chute to direct concrete on forms.

4

90% ResilienceSupplemental

Wet concrete surface and rub with stone to smooth surface and obtain specified finish.

5

85% ResilienceCore Task

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.

6

85% ResilienceCore Task

Modify mixing, grouting, grinding, or cleaning procedures, according to type of installation or material used.

7

85% ResilienceSupplemental

Build wooden molds, clamping molds around areas to be repaired, or setting up frames to the proper depth and alignment.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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