57
/100

SOC 47-5051

Rock Splitters, Quarry

ElevatedFrey/Osborne: 96.0%

Risk Score

โš ๏ธ

57/100

Elevated

US Employment

๐Ÿ‘ฅ

3,080

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$37K โ€“ $68K

Projected Growth

๐Ÿ“ˆ

+4.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Rock Splitters, Quarry face a risk score of 57/100 โ€” 13 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($1K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 57/100, Rock Splitters, Quarry faces moderate automation pressure. While tasks like ai project scheduling and resource optimization are increasingly handled by AI, the role retains significant human elements. The 3,080 workers in this occupation should focus on strengthening skills in adapting to unique building configurations on-site and fine motor craftsmanship in custom installations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Rock Splitters, Quarry?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI project scheduling and resource optimization

2

Drone-based site surveying and inspection

3

3D printing of building components

4

Robotic bricklaying and prefabrication automation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting to unique building configurations on-site

โœ“

Fine motor craftsmanship in custom installations

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Physical work in confined or elevated spaces

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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

โ€ข

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

โ€ข

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

โ€ข

Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines.

โ€ข

Cut slabs of stone into sheets that will be used for floors or counters.

๐Ÿ’ป Technology Skills

โ€ข

Application server software

โ€ข

Computer aided design CAD software

โ€ข

Web page creation and editing software

โ€ข

Facilities management software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Education and Training

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$47K
+$1K

National avg: $46K

Risk Score57/100
+13

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth4.4%
+0.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
Extraction Workers29$56K71%
Electricians32$62K80%