Somewhat Resilient

Last Update: 11/4/2026

AI Resilience Score for Rock Splitters, Quarry:

46.9%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Low-medium

Methodology and Scoring Rationale

To score how resilient rock splitting and quarry work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from six AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, OpenAI Signals, and Google ATLAS. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For rock splitters, 6 of the 9 sources had data, and the AI exposure picture was split: AI Resilience Model and Microsoft saw the physical, hands-on nature of the work as hard to automate, while Will Robots Take My Job flagged real risk. That disagreement, combined with low employer demand from BLS Opportunity Score, keeps confidence at low-medium. The score lands at "Somewhat Resilient."

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.

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Analysis of current AI resilience

Rock Splitters, Quarry

Updated quarterly

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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.

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.

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

82% ResilienceCore Task

Locate grain line patterns to determine how rocks will split when cut.

2

81% ResilienceCore Task

Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses.

3

80% ResilienceSupplemental

Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones.

4

78% ResilienceCore Task

Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools.

5

76% ResilienceSupplemental

Cut grooves along outlines, using chisels.

6

75% ResilienceSupplemental

Set charges of explosives to split rock.

7

72% ResilienceSupplemental

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.

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