Medium AI Risk Slow Growth

Helpers--extraction workers

SOC Code: 47-5081

Helpers--extraction workers carries a 24% AI exposure score (Medium automation risk), with a median annual wage of $48,400 and -1.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 7,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
24% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-1.7%
2024–2034 (BLS)
-100 jobs
Median Annual Wage
$48,400
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

7,000
Employment 2024
6,900
Projected 2034
-1.7%
Change (%)
-100
Change (jobs)

Occupation Insight

Helpers--extraction workers (SOC 47-5081) carries an AI exposure score of 24%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an 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 economic context matters alongside the risk score. BLS counted approximately 7,000 workers in this occupation in 2024, and projects a -1.7% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $48,400, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

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 Helpers--extraction workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Provide assistance to extraction craft workers, such as earth drillers and derrick operators.
  2. 2. Observe and monitor equipment operation during the extraction process to detect any problems.
  3. 3. Drive moving equipment to transport materials and parts to excavation sites.
  4. 4. Unload materials, devices, and machine parts, using hand tools.
  5. 5. Set up and adjust equipment used to excavate geological materials.
  6. 6. Organize materials to prepare for use.
  7. 7. Repair and maintain automotive and drilling equipment, using hand tools.
  8. 8. Collect and examine geological matter, using hand tools and testing devices.
  9. 9. Signal workers to start geological material extraction or boring.
  10. 10. Clean up work areas and remove debris after extraction activities are complete.

Key Skills Required

  • Monitoring
  • Operations Monitoring
  • Operation and Control
  • Equipment Maintenance
  • Troubleshooting
  • Repairing
  • Critical Thinking
  • Coordination
  • Equipment Selection
  • Quality Control Analysis

Knowledge Areas

  • Mechanical
  • English Language
  • Transportation
  • Mathematics
  • Administration and Management
  • Public Safety and Security
  • Education and Training
  • Production and Processing
  • Customer and Personal Service
  • Engineering and Technology

Frequently Asked Questions

Will AI replace Helpers--extraction workers?

Helpers--extraction workers has an AI exposure score of 24%, 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 Helpers--extraction workers?

According to BLS Employment Projections 2024-2034, Helpers--extraction workers is projected to decline by 1.7% over the decade. Current employment stands at approximately 7,000 workers.

What skills are needed for Helpers--extraction workers?

Key skills for Helpers--extraction workers include Monitoring, Operations Monitoring, Operation and Control, and others. Typical entry-level education is High school diploma or equivalent.

How much do Helpers--extraction workers earn?

The median annual wage for Helpers--extraction workers is $48,400, 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 Helpers--extraction workers?

The typical entry-level education for Helpers--extraction workers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Helpers--extraction workers?

Helpers--extraction workers 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

1.2
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial