How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Set vertical and horizontal alignment of structures, using plumb bob, gauge line, and level.67
- Lay out wall patterns or foundations, using straight edge, rule, or staked lines.67
- Drill holes in marble or ornamental stone and anchor brackets in holes.67
- Dig trench for foundation of monument, using pick and shovel.67
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Remove wedges, fill joints between stones, finish joints between stones, using a trowel, and smooth the mortar to an attractive finish, using a tuck pointer.01
- Remove sections of monument from truck bed, and guide stone onto foundation, using skids, hoist, or truck crane.02
- Shape, trim, face and cut marble or stone preparatory to setting, using power saws, cutting equipment, and hand tools.03
- Lay brick to build shells of chimneys and smokestacks or to line or reline industrial furnaces, kilns, boilers and similar installations.04
- Repair cracked or chipped areas of stone or marble, using blowtorch and mastic, and remove rough or defective spots from concrete, using power grinder or chisel and hammer.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Stone Cutters and Carvers, Manufacturing
Closely related work
Compare these careers →Cement Masons and Concrete Finishers
Related work
Compare these careers →Roofers
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
