Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

61.0%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low

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

Stone Cutters and Carvers, Manufacturing

They shape and carve stone into specific designs and sizes for buildings or sculptures, using tools to ensure each piece fits perfectly.

This role is evolving

The career of stone cutters and carvers is labeled as "Evolving" because while technology like CNC machines helps with heavy cutting, the intricate and creative work still relies on human hands. AI tools are slowly being integrated to assist, but they cannot fully replace the skill and artistry needed for detailed carvings.

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Learn more about how you can thrive in this position

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This role is evolving

The career of stone cutters and carvers is labeled as "Evolving" because while technology like CNC machines helps with heavy cutting, the intricate and creative work still relies on human hands. AI tools are slowly being integrated to assist, but they cannot fully replace the skill and artistry needed for detailed carvings.

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Contributing 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

Learn about this score
Stable iconStable

93.0%

93.0%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

31.7%

31.7%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.2%

Growth Percentile:

82.2%

Annual Openings:

5,500

Annual Openings Pct:

41.5%

Analysis of Current AI Resilience

Stone Cutters & Carvers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Stone cutting and carving remains largely a hands-on craft. Workers still rely on chisels, pneumatic hammers, and power saws (sometimes computer-controlled) to cut and shape stone. For example, manufacturers often use CNC water-jet or router machines to rough-cut granite or marble slabs, but the final detailing (like intricate moldings or fine reliefs) is normally done by skilled workers [1] .

In research labs, engineers have built prototype robots that scan and grind stone blocks, and even automated sanding machines using 3D vision [1] [1]. However, these remain limited experiments. In practice there are no widely adopted “AI carvers” on the market.

Instead, AI and computer tools tend to be used for design and programming. Stone shops may use CAD/CAM software to lay out patterns or to control CNC saws, but an artisan still guides the work and finishes the piece by hand [1] . In short, automation has helped with heavy cutting and drilling, but tasks needing “eyeballing” and touch (like smoothing carvings or freehand layout from a sketch) still depend on people.

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AI Adoption

AI in the real world

Given this mix of automate-able and manual tasks, AI and robots have been slow to invade carved stone work. One big factor is cost: specialized stone-cutting robots and CNC equipment are very expensive and only pay off in very high-volume operations [1] . Most stone carving is done in small shops or custom projects, so the economics don’t favor huge machines.

Stone carving also demands creativity and judgment – the exact shape of natural stone can vary, and finishing details often require on-the-spot decisions. This makes full automation hard, as analysts have noted that hands-on craft jobs are among the least automatable categories [1] . Socially, there’s also a preference for human artistry in monuments and architecture; customers often expect a “handmade” quality.

On the other hand, labor shortages in construction could encourage some tech use (for example, smart CNC saws), but these would augment rather than replace carvers. Overall, most experts expect only gradual tech adoption: machines handle heavy cutting (increasing efficiency), but human skill in carving and finishing remains central [1] . Young craftsmen can take hope from this – while change is constant, the unique art and skill of stone carving still has a protected place alongside modern tools.

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Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceSupplemental

Copy drawings on rough clay or plaster models.

2

85% ResilienceSupplemental

Study artistic objects or graphic materials, such as models, sketches, or blueprints, to plan carving or cutting techniques.

3

80% ResilienceCore Task

Move fingers over surfaces of carvings to ensure smoothness of finish.

4

80% ResilienceSupplemental

Carve rough designs freehand or by chipping along marks on stone, using mallets and chisels or pneumatic tools.

5

80% ResilienceSupplemental

Load sandblasting equipment with abrasives, attach nozzles to hoses, and turn valves to admit compressed air and activate jets.

6

75% ResilienceSupplemental

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.

7

70% ResilienceCore Task

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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