Rock splitters, quarry
SOC Code: 47-5051
Rock splitters, quarry carries a 26% AI exposure score (Medium automation risk), with a median annual wage of $47,460 and +4.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 3,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 26% AI exposure, Rock splitters, quarry sits 11 points below the 37.2% average across 832 U.S. occupations - more exposed than 18% of them. Most of its core tasks still require human judgment.
Career outlook score
60/100
Rock splitters, quarry, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage F $47,460
Annual median wage, percentile rank vs all tracked occupations
- Projected growth B +4.4%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) A- 26% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Rock splitters, quarry in the Medium band.
Credential × growth standing
Open entry with non-declining BLS pace
Rock splitters, quarry keeps an No credential bar (109 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where Rock splitters, quarry sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Rock splitters, quarry sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
26% Among the lowest lower than 82% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Rock splitters, quarry vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Rock splitters, quarry is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Rock splitters, quarry's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 47-5051) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Rock splitters, quarry be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Rock splitters, quarry. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Cut slabs of stone into sheets that will be used for floors or counters.
- 2. Locate grain line patterns to determine how rocks will split when cut.
- 3. Set charges of explosives to split rock.
- 4. Drill holes along outlines, using jackhammers.
- 5. Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones.
- 6. Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools.
- 7. Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses.
- 8. Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines.
- 9. Cut grooves along outlines, using chisels.
Key Skills Required
- Operation and Control
- Operations Monitoring
- Active Listening
- Monitoring
- Reading Comprehension
- Critical Thinking
- Coordination
- Complex Problem Solving
- Time Management
- Speaking
Knowledge Areas
- Production and Processing
- Mechanical
- Mathematics
- Education and Training
- Public Safety and Security
- Administration and Management
- English Language
- Personnel and Human Resources
- Customer and Personal Service
- Transportation
Frequently Asked Questions
Will AI replace Rock splitters, quarry?
Rock splitters, quarry has an AI exposure score of 26%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Rock splitters, quarry?
According to BLS Employment Projections 2024-2034, Rock splitters, quarry is projected to grow by 4.4% over the decade. Current employment stands at approximately 3,200 workers.
What skills are needed for Rock splitters, quarry?
Key skills for Rock splitters, quarry include Operation and Control, Operations Monitoring, Active Listening, and others. Typical entry-level education is No formal educational credential.
How much do Rock splitters, quarry earn?
The median annual wage for Rock splitters, quarry is $47,460, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Rock splitters, quarry?
The typical entry-level education for Rock splitters, quarry is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Rock splitters, quarry?
Rock splitters, quarry roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 9 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Rock splitters, quarry: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (26% here).
- Ambulance drivers and attendants, except emergency medical technicians · AI exposure 26%
- Education administrators, kindergarten through secondary · AI exposure 26%
- Forest and conservation technicians · AI exposure 26%
- Heating, air conditioning, and refrigeration mechanics and installers · AI exposure 26%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+4.4% here).
- Environmental scientists and specialists, including health · growth +4.4%
- General and operations managers · growth +4.4%
- Health and safety engineers, except mining safety engineers and inspectors · growth +4.4%
- Helpers, construction trades, all other · growth +4.4%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 43 occupations with a comparable automation-risk profile.
What to do with this
Use Rock splitters, quarry's numbers above to compare, not just read in isolation.
- Compare Rock splitters, quarry side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).