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 expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They shape and smooth wet concrete for sidewalks, floors, and roads, ensuring it's level and durable for everyday use.
This role is stable
Cement masons and concrete finishers have a stable career because many parts of their job still need a human touch that machines can't replace. While robots and smart tools can help with heavy and repetitive tasks like leveling concrete, skilled workers are essential for more detailed work, like forming edges and adding decorative patterns.
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 stable
Cement masons and concrete finishers have a stable career because many parts of their job still need a human touch that machines can't replace. While robots and smart tools can help with heavy and repetitive tasks like leveling concrete, skilled workers are essential for more detailed work, like forming edges and adding decorative patterns.
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
Medium 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
Cement Masons & Finishers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Most concrete finishing work is still done by people, but new machines and “smart” tools are appearing for some tasks. For example, industry reports describe robotic screeds and trowel machines that can place, level and smooth poured concrete much faster than crews [1]. In fact, one review of construction technology notes robots for every step – pouring, leveling/compacting, and floor finishing – are under development [2].
In practice, some large jobs use guided machines: lasers or GPS steer ride-on trowels, or mobile robots automatically make multiple finishing passes [1]. Even experimental “distribution” robots have been built to pour concrete evenly from an arm on a fixed base [2].
At the same time, many steps still need human hands. Tasks like forming edges, cutting expansion joints, and adding decorative patterns are not automated. Checking how wind or heat affect curing is usually done by a mason’s experience, not by an AI.
In short, machines help with heavy, repetitive work (like leveling or vibrating wet concrete), but the skilled finish – and on-site decisions – are still left to people [1] [2].

AI in the real world
Adopting AI and robots in concrete work has both pushes and pulls. On one side, the construction industry is short on trained masons [1], which makes automation attractive to boost productivity. Robots and AI sensors could help meet deadlines and reduce tough physical labor.
Some firms are already exploring AI for planning or using data from sensors during curing.
But on the other side, concrete sites are challenging for machines. Robots cost a lot and work best on very uniform tasks. For example, early floor-finishing robots (like Japan’s 1980s “Mark-1”) were heavy and hard to set up correctly [3].
Today’s machines still need careful setup and human supervision. In many cases, hiring skilled masons is cheaper than buying complex robots for a one-time job [3] [1]. Safety rules, building codes, and on-site surprises slow down fully autonomous systems.
Overall, some AI tools are available for parts of the job, but wide adoption is slow right now. This means human skills remain crucial. Masons’ abilities to plan a pour, adjust when weather changes, and add finishing touches are still very valuable.
AI and robots may help by taking on tiring or dangerous chores, leaving the important calling and judgment to the workers [1] [1].

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Median Wage
$54,660
Jobs (2024)
206,700
Growth (2024-34)
+1.8%
Annual Openings
14,300
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Apply muriatic acid to clean surface, and rinse with water.
Monitor how the wind, heat, or cold affect the curing of the concrete throughout the entire process.
Cut metal division strips, and press them into terrazzo base so that top edges form desired design or pattern.
Mold expansion joints and edges, using edging tools, jointers, and straightedge.
Sprinkle colored marble or stone chips, powdered steel, or coloring powder over surface to produce prescribed finish.
Spread, level, and smooth concrete, using rake, shovel, hand or power trowel, hand or power screed, and float.
Wet concrete surface, and rub with stone to smooth surface and obtain specified finish.
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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