Somewhat Resilient
Last Update: 11/4/2026
AI Resilience Score for Rock Splitters, Quarry:
46.9%
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.
Med
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%).
Low
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%).
Med
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.
AI Resilience Report forRock Splitters, Quarry
$48,740 median salary•400 annual openings•SOC Code: 47-5051.00
Rock Splitters, Quarry are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Rock splitting is labeled "Somewhat Resilient" because the most skilled parts of the job, like reading stone grain lines by eye and feeling when a wedge is ready to pop, are still things AI genuinely cannot do well. However, the work happening around rock splitters is changing fast, with autonomous drilling rigs, drone surveys, and data-driven pit management tools becoming more common on job sites.
Learn more about how you can thrive in this position
This role is somewhat resilient
Rock splitting is labeled "Somewhat Resilient" because the most skilled parts of the job, like reading stone grain lines by eye and feeling when a wedge is ready to pop, are still things AI genuinely cannot do well. However, the work happening around rock splitters is changing fast, with autonomous drilling rigs, drone surveys, and data-driven pit management tools becoming more common on job sites.
Read full analysisAnalysis of current AI resilience
Rock Splitters, Quarry
Updated quarterly
How can Rock Splitters, Quarry prepare for AI?
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Latest AI news for Rock Splitters, Quarry
The recommended articles provide valuable insights for students pursuing careers as rock splitters in quarries. While AI may automate some tasks, such as handling about 12% of work by 2036, the unique skills required—like reading grain lines and positioning wedges—ensure strong job resilience. With an AI Resistance Index of 92 out of 99, this field shows minimal exposure to AI threats, indicating a potential 5.8% increase in US jobs by 2035. These insights highlight the enduring need for human expertise in quarry work, making it a promising career choice.
Will AI Replace Rock Splitters, Quarry Jobs?
jobzonerisk.com • 10/20/2026
No AI or robot can read grain lines, position wedges, or split dimension stone autonomously. This is a market trend, not an AI effect, but it constrains job ...
Rock Splitters, Quarry | AI Job Risk Calculator
replacemeter.com • 10/20/2026
2 days ago — AI could handle about 12% of today's rock splitters, quarry tasks by 2036, and there is a 6% chance the number of jobs falls by a fifth or more. Read more
Rock splitters, quarry and AI - Career Explorer
aiready.family • 10/20/2026
Rock splitters, quarry: AI Resistance Index 92 of 99 (human edge, growing). AI exposure very low, US jobs +5.8% by 2035, median pay $48740.
More Career Info
Career: Rock Splitters, Quarry
They break large rocks into smaller pieces using tools and machines, making it easier to transport and use the stone for construction and other purposes.
Parent Careers
Alternate Titles
Driller · Quarry Worker · Rock Splitter · Stone Splitter · Splitter Operator · Stone Breaker
Employment & Wage Data
Median Wage
$48,740
Jobs (2025)
3,500
Growth (2025-35)
+5.8%
Annual Openings
400
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Locate grain line patterns to determine how rocks will split when cut.
2
Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses.
3
Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones.
4
Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools.
5
Cut grooves along outlines, using chisels.
6
Set charges of explosives to split rock.
7
Drill holes along outlines, using jackhammers.
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.
