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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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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.
High
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%).
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Stonemasons are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of a stonemason is labeled as "Mostly Resilient" because, while some tasks like stone-cutting can be assisted by machines, the intricate and creative work of shaping and setting stones remains largely driven by human skill. AI and robots are slowly being adopted for planning and repetitive tasks, but the unique nature of stone projects and the need for a craftsman's eye keep the core work firmly in human hands.
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Learn more about how you can thrive in this position
This role is mostly resilient
The career of a stonemason is labeled as "Mostly Resilient" because, while some tasks like stone-cutting can be assisted by machines, the intricate and creative work of shaping and setting stones remains largely driven by human skill. AI and robots are slowly being adopted for planning and repetitive tasks, but the unique nature of stone projects and the need for a craftsman's eye keep the core work firmly in human hands.
Read full analysisAnalysis of Current AI Resilience
Stonemasons
Updated Quarterly • Last Update: 2/17/2026

Today, almost all stonemasonry work is done by people using hand and power tools. Only a few tasks gain help from machines or digital tools. For example, stone-cutting can use computer-controlled saws or water-jet cutters for precise shapes [1], and some factories use robots to lift heavy slabs.
In brickwork (a related trade), robots like “SAM” can lay bricks and spread mortar much faster than humans [2], but this technology is mostly for uniform walls, not the custom stone monuments masons make. Tasks like mixing and smoothing mortar, repairing chips, and finishing joints still rely on a mason’s careful eye and hand. Experts note that construction sites are varied and unpredictable, so machines find it hard to handle every job [3] [3].
In short, most stonemason tasks are not yet automated. Robots and AI are starting to help with design, planning or very repetitive laying, but the real stone-shaping and setting work remains largely manual and craft-driven [1] [2].

There are good reasons why AI and robots are adopted cautiously in stonemasonry. First, the industry often runs on tight budgets; new machines are expensive and must pay off in faster work or lower labor cost. Studies point out that construction firms have very small profit margins, so they hesitate to invest in costly unproven tech [4].
Also, stone projects are usually unique (monuments, custom facades, etc.), so a robot built for one task may not fit another. Builders also worry about training – even if a robot could work, someone on site must program and maintain it [3] [3]. On the plus side, a shortage of skilled masons is pushing some to try new tools.
But people still trust experienced craftsmen for high-quality stone work. Socially and legally there aren’t strict bans on construction robots, but the culture is careful: safety rules must be met and clients expect quality. Overall, AI in stonemasonry is growing slowly.
It helps more with planning and surveying (for example using sensors or software), but the hands-on carving and setting of stones remains a human job for now [4] [3].

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They build and repair structures using stones, shaping and fitting them together to create walls, walkways, and buildings.
Median Wage
$51,990
Jobs (2024)
12,100
Growth (2024-34)
-3.0%
Annual Openings
800
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
Set stone or marble in place, according to layout or pattern.
Position mold along guidelines of wall, press mold in place, and remove mold and paper from wall.
Shape, trim, face and cut marble or stone preparatory to setting, using power saws, cutting equipment, and hand tools.
Replace broken or missing masonry units in walls or floors.
Remove sections of monument from truck bed, and guide stone onto foundation, using skids, hoist, or truck crane.
Clean excess mortar or grout from surface of marble, stone, or monument, using sponge, brush, water, or acid.
Smooth, polish, and bevel surfaces, using hand tools and power tools.
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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