Headline risk
2%
Very Low RiskRock splitters, quarry
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Separate blocks of rough dimension stone from quarry mass using jackhammers, wedges, or chop saws.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 47,460
Employment 2024
3.2K
Projected Change (2024–34)
4.4%
Openings (2024–34)
0.4K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools. AI use: 0%
- 2. Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses. AI use: 0%
- 3. Locate grain line patterns to determine how rocks will split when cut. AI use: 0%
- 4. Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines. AI use: 0%
- 5. Drill holes along outlines, using jackhammers. AI use: 0%
- 6. Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones. AI use: 0%
Technologies
Requirements
Work context
Related
Source coverage
10/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.