Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Rock Splitters, Quarry:
46.7%
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
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
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis 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 analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Rock Splitters, Quarry
Updated Quarterly
How is AI changing Rock Splitters, Quarry jobs?
Right now, the hands-on work of quarry rock splitters—marking stone, driving wedges, and reading grain lines—is being augmented more than replaced, but the surrounding job site is changing quickly. The biggest AI story in this industry isn't a robot splitting boulders; it's autonomous drilling rigs that prepare the rock for splitting and blasting. In September 2025, Epiroc and Luck Stone launched the first fully autonomous SmartROC D65 drill rig in the U.S. aggregate market, a machine that drills entire patterns solo while someone watches from afar, and the partnership is now expanding as Epiroc showcases quarry autonomy at CONEXPO 2026 [1].
Meanwhile, Komatsu's Smart Quarry Autonomous system [2] and machine-vision tools that automate particle-size measurement on crushers [3] are turning entire pits into data-driven operations. What AI is not doing well yet is the delicate craft parts of rock splitting—reading a granite seam by eye, tapping wedges by feel, and judging when the grain will "pop." Those tasks still rely on human touch and experience.
Sources
How fast is AI adoption growing for Rock Splitters, Quarry?
Adoption in quarries is real but uneven. On the "go faster" side, the industry faces a serious labor crunch: Deloitte's 2026 mining outlook [4] reports that more than half of the US mining workforce, or about 221,000 workers, are expected to retire by 2029, and safety plus skilled-labor shortages are exactly why automation isn't just for Teslas and warehouse bots anymore. On the "go slow" side, the aggregates business is famously old-school.
At the 2026 Pit & Quarry Roundtable, one executive noted that among top U.S. producers, one is still tracking production using Excel sheets emailed around the office [3], and even fans of AI admit it isn't a silver bullet that can fix operations overnight. The National Stone, Sand & Gravel Association's new strategic plan [5] is pushing members toward smarter tech, which will speed things up. The upshot for young people: quarry work isn't disappearing—it's shifting toward workers who can combine hands-on stone skills with the ability to run drones, drills, and dashboards.
Sources
Will AI replace Rock Splitters, Quarry?
Not entirely. We think AI will take over some tasks, but not the whole job.
The quarry industry is automating fast around rock splitters, even if it hasn't replaced them yet. Autonomous drill rigs like Epiroc's SmartROC D65 now handle entire drilling patterns without a human on the machine [1], and machine-vision tools are automating particle-size measurement on crushers [3]. These changes reshape the job site before a splitter ever touches the stone.
What AI still can't do is the craft at the center of this work: reading a granite seam by eye, feeling when wedge pressure is right, and judging the moment a grain will pop. That physical intuition, built through experience, remains human for now. The industry also faces a real labor crunch, with more than half of the US mining workforce expected to retire by 2029 [4], which means demand for skilled workers isn't disappearing overnight, even as the role shifts.
Our 46.7% AI Resilience Score reflects that tension. Long-term employer demand is a genuine concern, and the economic picture is mixed. The path forward for rock splitters is learning to work alongside drones, dashboards, and automated rigs [5], not competing against them. The stone still needs a human who knows how to read it.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Rock Splitters, Quarry
Students considering a career as Rock Splitters in quarries can find reassurance in the current AI landscape. While some articles suggest a high risk of replacement, such as the one with a score of 74/100, others highlight that 100% of core tasks remain human-driven. The physical and variable nature of quarry work makes it difficult for AI to replicate, as noted in discussions about the unique challenges of outdoor environments. This suggests a resilient career path where human skills and adaptability are vital.
Will AI Replace Rock Splitters, Quarry? AI Risk Score: 74/100 ...
www.replacedbai.com • 9/20/2026
No, Rock Splitters, Quarry roles face significant AI replacement risk. With a risk score of 74/100, this occupation is in the high-danger zone for ...
Will AI replace Rock Splitters, Quarry? Task-by-task analysis
futureproof.collab365.com • 9/20/2026
In the United States, 0% of the core work in “Rock Splitters, Quarry” is made of tasks today's AI could already do most of. 100% of it stays human.
Rock Splitters, Quarry: AI Risk Score 12/100 - AI Job Risk
www.willaitakemyjob.app • 9/20/2026
Rock Splitters, Quarry is among the least exposed roles in Construction & Trades. Most of what the job involves still sits outside what current AI can do, even ...
Will AI Replace Rock Splitters, Quarry Jobs?
jobzonerisk.com • 9/20/2026
This role is protected by heavy physical labour in outdoor, unstructured quarry environments where every rock face is different. No AI or robot can read…
Rock Splitters, Quarry - Anyway AI
anyway.ai • 9/20/2026
Starting as a Rock Splitter can lead to supervisory roles, equipment operator positions, or specialised roles in quarry management. The mining and quarrying ...
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
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.
