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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: 5/19/2026
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.
Low
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%).
Med
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Stone Cutters and Carvers, Manufacturing are less resilient to AI impacts than most occupations, according to our analysis of 4 sources.
Stone cutting and carving is labeled "Not Very Resilient" because AI-powered robots and CNC machines are now handling the bulk of the actual cutting and shaping work — tasks that used to define most of a stone carver's day. Companies like Monumental Labs have shown that machines can complete in two days what once took a skilled carver one to two months, and industry leaders are reporting that they've automated "nearly every" part of their shops, largely because finding human workers has become so difficult.
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 not very resilient
Stone cutting and carving is labeled "Not Very Resilient" because AI-powered robots and CNC machines are now handling the bulk of the actual cutting and shaping work — tasks that used to define most of a stone carver's day. Companies like Monumental Labs have shown that machines can complete in two days what once took a skilled carver one to two months, and industry leaders are reporting that they've automated "nearly every" part of their shops, largely because finding human workers has become so difficult.
Read full analysisAnalysis of Current AI Resilience
Stone Cutters & Carvers
Updated Quarterly • Last Update: 5/14/2026

Right now, AI in stone cutting and carving looks much more like a helpful partner than a replacement. Most of the change is happening through AI-enhanced CNC machines and robotic arms. A New York startup called Monumental Labs is a great example: their robots can mill an architectural bust in about two days that used to take a hand carver a month or two [1], and the company says if a machine does the first 95% of the work, the carver can focus on the high-value finishing labor [2].
In Italy's Carrara marble district, robots guided by laser-scanned 3D models are now carving detailed sculptures [3] for artists. On the shop floor, new tools like Northwood AI scan slabs and automatically generate the optimal CNC cutting program [4], and AI is being added to CNC bridge saws to predict maintenance issues before they cause breakdowns [4]. The very human task of running fingers over a carving to feel for smoothness, however, is still done by people.

AI is being adopted faster than you might expect, mostly because of labor shortages. Industry leaders at a 2025 Stone World event said they've "automated nearly every" part of their shops [4] to deal with hiring challenges. The World Economic Forum's Future of Jobs Report 2025 [5] names robotics and AI as top forces reshaping manufacturing work this decade.
Still, adoption is uneven: CNC machines and robotic arms cost hundreds of thousands of dollars, which is tough for small carving shops. Trade publications are also urging caution—one Stone World piece reminded fabricators to master the fundamentals before chasing AI tools [4]. Culturally, the high-end art and monument market still prizes human craftsmanship, and the U.S. Bureau of Labor Statistics groups stone cutters in its 2024–34 employment projections [6] as a small, specialized occupation where hand skills remain valued.
The hopeful takeaway: AI is taking over the heavy, repetitive roughing-out, while the artistic eye, fine finishing, and quality judgment that make a carving beautiful are skills that are still very much yours to learn.

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They shape and carve stone into specific designs and sizes for buildings or sculptures, using tools to ensure each piece fits perfectly.
Median Wage
$45,690
Jobs (2024)
41,700
Growth (2024-34)
+6.2%
Annual Openings
5,500
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
Cut, shape, and finish rough blocks of building or monumental stone, according to diagrams or patterns.
Study artistic objects or graphic materials, such as models, sketches, or blueprints, to plan carving or cutting techniques.
Shape, trim, or touch up roughed-out designs with appropriate tools to finish carvings.
Guide nozzles over stone, following stencil outlines, or chip along marks to create designs or to work surfaces down to specified finishes.
Remove or add stencils during blasting to create differing cut depths, intricate designs, or rough, pitted finishes.
Carve designs or figures in full or bas relief on stone, employing knowledge of stone carving techniques and sense of artistry to produce carvings consistent with designers' plans.
Lay out designs or dimensions from sketches or blueprints on stone surfaces, by freehand or by transferring them from tracing paper, using scribes or chalk and measuring instruments.
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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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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