Will AI replace stone driller jobs?

Stone drillers face moderate AI disruption risk with a score of 49/100, meaning the occupation will transform rather than disappear. While automation will handle routine drilling and machine monitoring, the skilled interpretation of stone properties, equipment maintenance, and precision workpiece handling remain distinctly human responsibilities. The role is positioned for evolution, not elimination.

How will AI change the stone driller role?

Stone drilling scores 49/100 for AI disruption because automation addresses specific repetitive tasks while leaving core expertise intact. Vulnerable skills include removing processed workpieces (58.06% task automation proxy), monitoring machine cycles, and recording routine data—functions ideal for robotic systems and software tracking. Conversely, recognizing drill bit types, maintaining complex equipment, and maneuvering stone blocks remain resilient because they require contextual judgment and physical dexterity. The near-term outlook shows AI-enhanced capabilities in optimizing production parameters and quality inspection through computer vision, augmenting rather than replacing human operators. Long-term, stone drillers who develop troubleshooting expertise and adopt AI tools for process optimization will remain valuable, while those performing purely repetitive operations face displacement to partially automated workflows.

Moderate Risk

stone driller

Q: What skills does a stone driller need to stay relevant with AI?

Key skills for stone driller in the AI era include: optimise production processes parameters, troubleshoot, quality and cycle time optimisation, inspect quality of products, consult technical resources. These are areas where AI augments human capabilities rather than replacing them.

Stone drillers operate the drilling machine that bores holes into stone blocks. They manipulate granit, sandstone, marble and slate according to specifications.

ISCO 8112Explore this role

56

Skill Vulnerability

Impact: Now

58

Task Automation

Impact: 1–3 years

49

AI Enhancement

Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

AI beginning to assist with specific sub-tasks. Core role remains human-driven.

Mid-term (3-7 years)

AI handles routine components. Professionals shift toward strategic and creative aspects.

Long-term (7-15 years)

Hybrid human-AI workflow standard. Continuous upskilling required to stay relevant.

Expected Salary Impact

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Salaries expected to remain stable with moderate AI impact

Job Demand Outlook

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Job openings will remain stable but role requirements will shift

Tasks Most Likely to Be Automated

⚠remove processed workpiece
⚠measure materials
⚠quality standards
⚠monitor automated machines

Tasks That Will Remain Human

✔types of drill bits
✔maintain drilling equipment
✔maneuver stone blocks
✔wear appropriate protective gear

Skills to Develop for AI Resilience

optimise production processes parameterstroubleshootquality and cycle time optimisationinspect quality of productsconsult technical resources

⚠ Most Vulnerable Skills

remove processed workpiece88%

remove processed workpieceRemove individual workpieces after processing, from the manufacturing machine or the machine tool. In case of a conveyor belt this involves quick, continuous movement.

measure materials85%

measure materialsMeasure the raw materials prior to their loading in the mixer or in machines, ensuring they conform with the specifications.

quality standards84%

quality standardsThe national and international requirements, specifications and guidelines to ensure that products, services and processes are of good quality and fit for purpose.

monitor automated machines82%

monitor automated machinesContinuously check up on the automated machine's set-up and execution or make regular control rounds. If necessary, record and interpret data on the operating conditions of installations and equipment...

keep records of work progress81%

keep records of work progressMaintain records of the progress of the work including time, defects, malfunctions, etc.

Exposure

✔ Most Resilient Skills

types of drill bits18%

types of drill bitsQualities and applications of various types of drill bits, such as core drill bits, spotting drill bits, countersink drill bits and others.

maintain drilling equipment18%

maintain drilling equipmentMaintenance and repair of a variety of drilling equipment.

maneuver stone blocks28%

maneuver stone blocksPlace blocks of stone in the correct position of the machine bed using electric hoist, wooden blocks and wedges.

wear appropriate protective gear32%

wear appropriate protective gearWear relevant and necessary protective gear, such as protective goggles or other eye protection, hard hats, safety gloves.

types of boring heads35%

types of boring headsQualities and applications of various types of boring heads, such as rough boring heads, fine boring heads and others.

Exposure

✨ AI-Enhanced Skills

optimise production processes parameters78%

optimise production processes parametersOptimise and maintain the parameters of the production process such as flow, temperature or pressure.

troubleshoot78%

troubleshootIdentify operating problems, decide what to do about it and report accordingly.

quality and cycle time optimisation75%

quality and cycle time optimisationThe most optimal rotation or cycle time and over-all quality of a tool or a machine's processes.

inspect quality of products75%

inspect quality of productsUse various techniques to ensure the product quality is respecting the quality standards and specifications. Oversee defects, packaging and sendbacks of products to different production departments.

consult technical resources75%

consult technical resourcesRead and interpret technical resources such as digital or paper drawings and adjustment data in order to properly set up a machine or working tool, or to assemble mechanical equipment.

AI Boost