Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
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
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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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.
Read full analysisContributing 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Terrazzo Worker & Finisher
Updated Quarterly • Last Update: 2/17/2026

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.

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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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
AI-generated estimates of task resilience over the next 3 years
Mold expansion joints and edges, using edging tools, jointers, or straightedges.
Move terrazzo installation materials, tools, machines, or work devices to work areas, manually or using wheelbarrow.
Signal truck driver to position truck to facilitate pouring concrete and move chute to direct concrete on forms.
Wet concrete surface and rub with stone to smooth surface and obtain specified finish.
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.
Modify mixing, grouting, grinding, or cleaning procedures, according to type of installation or material used.
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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