Extraction workers, all other
SOC Code: 47-5099
Extraction workers, all other carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $50,110 and +1.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 6,300 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 35% AI exposure, Extraction workers, all other sits 2 points below the 37.2% average across 832 U.S. occupations - more exposed than 53% of them. Most of its core tasks still require human judgment.
Where Extraction workers, all other sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Extraction workers, all other has ai exposure of 35%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Extraction workers, all other vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Extraction workers, all other 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
Occupation Insight
Extraction workers, all other (SOC 47-5099) carries an AI exposure score of 35%, 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 6,300 workers in this occupation in 2024, and projects a +1.4% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $50,110, 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 Extraction workers, all other. 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
Frequently Asked Questions
Will AI replace Extraction workers, all other?
Extraction workers, all other has an AI exposure score of 35%, 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 Extraction workers, all other?
According to BLS Employment Projections 2024-2034, Extraction workers, all other is projected to grow by 1.4% over the decade. Current employment stands at approximately 6,300 workers.
What skills are needed for Extraction workers, all other?
Extraction workers, all other requires a combination of technical knowledge and interpersonal skills. Typical education requirement: High school diploma or equivalent.
How much do Extraction workers, all other earn?
The median annual wage for Extraction workers, all other is $50,110, 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 Extraction workers, all other?
The typical entry-level education for Extraction workers, all other 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 Extraction workers, all other?
Extraction workers, all other 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 O*NET task analysis. Most tasks require human judgment and are resistant to automation.
Related Occupations
Career Guides
Explore More on PlainWorkforce
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).