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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Somewhat Resilient" because many of the larger, repetitive tasks in masonry and tile work can be automated by robots, which can work faster and longer than humans. However, the day-to-day tasks that require detailed attention, creativity, and problem-solving, like cleaning grout or handling broken tiles, still rely heavily on human skill.
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 somewhat resilient
This career is labeled as "Somewhat Resilient" because many of the larger, repetitive tasks in masonry and tile work can be automated by robots, which can work faster and longer than humans. However, the day-to-day tasks that require detailed attention, creativity, and problem-solving, like cleaning grout or handling broken tiles, still rely heavily on human skill.
Read full analysisAnalysis of Current AI Resilience
Construction Helpers
Updated Quarterly • Last Update: 2/17/2026

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].

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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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.
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
Erect scaffolding or other installation structures.
Clean installation surfaces, equipment, tools, work sites, or storage areas, using water, chemical solutions, oxygen lances, or polishing machines.
Modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation or material requirements.
Arrange or store materials, machines, tools, or equipment.
Correct surface imperfections or fill chipped, cracked, or broken bricks or tiles, using fillers, adhesives, or grouting materials.
Remove damaged tile, brick, or mortar, and clean or prepare surfaces, using pliers, hammers, chisels, drills, wire brushes, or metal wire anchors.
Apply grout between joints of bricks or tiles, using grouting trowels.
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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