AI JOB RISK SCANNER
O*NET-SOC 47-5051.00 / model V11 rated-task engine

Will AI replace
Rock Splitters, Quarry?

Separate blocks of rough dimension stone from quarry mass using jackhammers, wedges, or chop saws.

Estimated AI task exposure
5%

Low exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

9 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

12/100

Physical moat

81/100

Human moat

10/100

Rating coverage

100%

9 task statements / 9 rated

Highest-weighted occupation tasks

Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools.
Importance 68/100Relevance 96/100Frequency 69/100Weight 0.78
Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses.
Importance 67/100Relevance 93/100Frequency 62/100Weight 0.76
Locate grain line patterns to determine how rocks will split when cut.
Importance 70/100Relevance 74/100Frequency 67/100Weight 0.71
Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines.
Importance 60/100Relevance 82/100Frequency 52/100Weight 0.67
Drill holes along outlines, using jackhammers.
Importance 70/100Relevance 64/100Frequency 68/100Weight 0.67
Cut slabs of stone into sheets that will be used for floors or counters.
Importance 73/100Relevance 51/100Frequency 62/100Weight 0.62
Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones.
Importance 68/100Relevance 58/100Frequency 56/100Weight 0.61
Set charges of explosives to split rock.
Importance 70/100Relevance 53/100Frequency 47/100Weight 0.58
Cut grooves along outlines, using chisels.
Importance 57/100Relevance 58/100Frequency 58/100Weight 0.58

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$48,740

BLS OEWS May 2025

National employment

3,320

BLS OEWS May 2025

Projected growth

+5.8%

BLS Employment Projections 2025–2035

Average annual openings

0

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

    AUGMENT

    • administrative support tasks
    • planning and documentation

    PROTECT

    • physical-world execution
    • on-site troubleshooting
    • dexterity and equipment interaction

    LEARN

    • AI-assisted diagnostics
    • digital documentation
    • basic AI literacy

    AI-PROOFING RESOURCES

    What this score does not mean

    The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

    New in V11

    Find a Safer Career Path

    High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

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