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 assist skilled workers by carrying materials, mixing mortar, and ensuring the work area is clean and organized for building walls, floors, and other structures.
This role is evolving
This career is labeled as "Evolving" because while robots and AI are starting to help with big, repetitive tasks like laying tiles or bricks, many smaller and detailed jobs still need a human touch. Workers use their hands for jobs like cleaning up grout or adjusting tiles, which machines can't easily handle.
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
This career is labeled as "Evolving" because while robots and AI are starting to help with big, repetitive tasks like laying tiles or bricks, many smaller and detailed jobs still need a human touch. Workers use their hands for jobs like cleaning up grout or adjusting tiles, which machines can't easily handle.
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
Construction Helpers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Helpers in masonry and tile work mostly use tools like cranes and power saws, but only a few tasks are done by full robots today. Some companies have built special robots to lay tile or bricks on large projects. For example, an AI-driven tiling robot was shown to place floor tiles about 40% faster than a skilled team of humans, while keeping high quality [1].
Similarly, robotic bricklayers (like the Dutch “Monumental” robots) can lay hundreds of bricks per shift under one supervisor [2]. These systems use cameras and robotic arms to place material accurately and collect data. However, these robots are still rare and expensive, so day-to-day helper tasks like scrubbing off extra grout or removing broken tile remain manual work [3] [1].
Workers still use hand tools, sponges, hammers and wire brushes for those jobs. In effect, automation is growing for the big, repeatable parts (tiling large areas, lifting heavy slabs), but many small or detail tasks still need people. Engineers even build assistive devices like lifting exoskeleton suits that help workers carry heavy loads safely [4].

AI in the real world
Will these tools spread quickly? The answer is mixed. On one hand, there’s a big demand for construction work, especially with new infrastructure and “AI buildouts” requiring more buildings and facilities [5].
Labor shortages and rising wages make robots more attractive: BlackRock notes that a construction boom is creating many jobs for skilled tradesmen but not enough workers [5]. A robot that works faster or longer than a human (and doesn’t need breaks) can cut project time [1]. On the other hand, construction sites are messy, one-off places.
A helper’s job varies each day, which is hard to program a robot to handle. Also, machines like the “Hadrian” wall robot cost millions to buy [2], so small crews usually stick with people. Changing over takes training, permits and testing with building rules.
In short, contractors will adopt robots or AI tools where they clearly save money or time, but many tasks remain better with human helpers [1] [4]. Companies often use robots and AI to help workers (not replace them) on the hardest parts, while humans do the finishing work. That means people – with their creativity, problem-solving and care – are still a vital part of these trades even as technology grows.

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Median Wage
$46,480
Jobs (2024)
16,100
Growth (2024-34)
-10.5%
Annual Openings
1,400
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
Clean installation surfaces, equipment, tools, work sites, or storage areas, using water, chemical solutions, oxygen lances, or polishing machines.
Provide assistance in the preparation, installation, repair, or rebuilding of tile, brick, or stone surfaces.
Erect scaffolding or other installation structures.
Remove damaged tile, brick, or mortar, and clean or prepare surfaces, using pliers, hammers, chisels, drills, wire brushes, or metal wire anchors.
Correct surface imperfections or fill chipped, cracked, or broken bricks or tiles, using fillers, adhesives, or grouting materials.
Apply grout between joints of bricks or tiles, using grouting trowels.
Arrange or store materials, machines, tools, or equipment.
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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